The following are titles of research articles from a search I performed on the synthetic data generation abilities of large language models. I am interested in learning about best practices for generating and working with synthetic data, hence why I am performing this query. In some titles below, it is clear that the article is very related to my query because of the words used. However, other articles are clearly much less related to my query because of unrelated words used. Please show me the top 100 article titles which are most related to my query, using only the titles below. Be sure they are ranked from most relevant to least relevant.

Llama 2: Open foundation and fine-tuned chat models
Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning
Gpts are gpts: An early look at the labor market impact potential of large language models
Generative agents: Interactive simulacra of human behavior
Git: A generative image-to-text transformer for vision and language
Summary of chatgpt-related research and perspective towards the future of large language models
ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Large language models in medicine
Harnessing the power of llms in practice: A survey on chatgpt and beyond
ReduNet: A white-box deep network from the principle of maximizing rate reduction
The role of ChatGPT in data science: how ai-assisted conversational interfaces are revolutionizing the field
Repairing the cracked foundation: A survey of obstacles in evaluation practices for generated text
Promptagator: Few-shot dense retrieval from 8 examples
A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?
A brief overview of ChatGPT: The history, status quo and potential future development
Deid-gpt: Zero-shot medical text de-identification by gpt-4
Binding language models in symbolic languages
Textbooks Are All You Need
The alignment problem from a deep learning perspective
The role of ai in drug discovery: challenges, opportunities, and strategies
Playing games with AIs: the limits of GPT-3 and similar large language models
Llm-planner: Few-shot grounded planning for embodied agents with large language models
Draft, sketch, and prove: Guiding formal theorem provers with informal proofs
Dense text retrieval based on pretrained language models: A survey
Evaluating large language models in generating synthetic hci research data: a case study
ChatGPT: A revolutionary tool for teaching and learning mathematics
Guiding pretraining in reinforcement learning with large language models
Synthetic lies: Understanding ai-generated misinformation and evaluating algorithmic and human solutions
Rarr: Researching and revising what language models say, using language models
The promise of large language models in health care
Aligning large language models with human: A survey
A Review of ChatGPT Applications in Education, Marketing, Software Engineering, and Healthcare: Benefits, Drawbacks, and Research Directions
Language models are realistic tabular data generators
Recommender systems in the era of large language models (llms)
Wavcaps: A chatgpt-assisted weakly-labelled audio captioning dataset for audio-language multimodal research
Artificial intelligence-based text generators in hepatology: ChatGPT is just the beginning
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT
Ai-generated content (aigc): A survey
AI and the future of humanity: ChatGPT-4, philosophy and education–Critical responses
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
HuatuoGPT, towards Taming Language Model to Be a Doctor
A pathway towards responsible ai generated content
Scaling robot learning with semantically imagined experience
Modular deep learning
Enabling AI-generated content (AIGC) services in wireless edge networks
ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model
Sine: Semantic-driven image-based nerf editing with prior-guided editing field
The Benefits and Limitations of ChatGPT in Business Education and Research: A Focus on Management Science, Operations Management and Data Analytics
Generate, annotate, and learn: Nlp with synthetic text
To augment or not to augment? A comparative study on text augmentation techniques for low-resource NLP
AI vs. human–differentiation analysis of scientific content generation
Is this abstract generated by ai? a research for the gap between ai-generated scientific text and human-written scientific text
A comprehensive survey to dataset distillation
Consciousness in artificial intelligence: Insights from the science of consciousness
Aligning Large Language Models through Synthetic Feedback
Lion: Adversarial Distillation of Closed-Source Large Language Model
Overview of bioasq 2023: The eleventh bioasq challenge on large-scale biomedical semantic indexing and question answering
Evaluating the Social Impact of Generative AI Systems in Systems and Society
Large language models for oncological applications
Reinforced self-training (rest) for language modeling
ProGen: Progressive zero-shot dataset generation via in-context feedback
Large language models for software engineering: A systematic literature review
Interactive natural language processing
Hyenadna: Long-range genomic sequence modeling at single nucleotide resolution
An opinion on ChatGPT in health care—written by humans only
Baichuan 2: Open large-scale language models
A Review of the Role of Artificial Intelligence in Healthcare
Large language model as attributed training data generator: A tale of diversity and bias
Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on Consistency with Human Preferences
Automatically correcting large language models: Surveying the landscape of diverse self-correction strategies
Ethical Aspects of ChatGPT in Software Engineering Research
Bayesian Optimization of Catalysts With In-context Learning
The design space of generative models
Exploring Medical Breakthroughs: A Systematic Review of ChatGPT Applications in Healthcare
Scaling up and distilling down: Language-guided robot skill acquisition
Exploring ChatGPT capabilities and limitations: A critical review of the nlp game changer
InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought
Stop uploading test data in plain text: Practical strategies for mitigating data contamination by evaluation benchmarks
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications
On the Tool Manipulation Capability of Open-source Large Language Models
Knowledge-augmented deep learning and its applications: A survey
A survey of Generative AI Applications
AGI for Agriculture
Bring your own algorithm for optimal differentially private stochastic minimax optimization
The roots search tool: Data transparency for llms
Large language models for information retrieval: A survey
When large language models meet personalization: Perspectives of challenges and opportunities
Revolutionary Potential of ChatGPT in Constructing Intelligent Clinical Decision Support Systems
Improving multimodal datasets with image captioning
Truth Machines: Synthesizing Veracity in AI Language Models
Camoscio: An italian instruction-tuned llama
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models
MAUVE scores for generative models: Theory and practice
Vision-Language Models in Remote Sensing: Current Progress and Future Trends
Codekgc: Code language model for generative knowledge graph construction
Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review
Diversify your vision datasets with automatic diffusion-based augmentation
Octopack: Instruction tuning code large language models
Physics of Language Models: Part 1, Context-Free Grammar
Numeracy from Literacy: Data Science as an Emergent Skill from Large Language Models
A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models
On the Challenges and Perspectives of Foundation Models for Medical Image Analysis
Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities
It is all about where you start: Text-to-image generation with seed selection
Trueteacher: Learning factual consistency evaluation with large language models
Large Language Model Augmented Narrative Driven Recommendations
A survey on large language models: Applications, challenges, limitations, and practical usage
Question generation and answering for exploring digital humanities collections
Scientists' Perspectives on the Potential for Generative AI in their Fields
Evaluating large language models for radiology natural language processing
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality
Large language models and knowledge graphs: Opportunities and challenges
Educational data augmentation in physics education research using ChatGPT
ChatGPT MD: Is there any room for generative AI in neurology and other medical areas?
How large language models including generative pre-trained transformer (GPT) 3 and 4 will impact medicine and surgery
Tabular and latent space synthetic data generation: a literature review
Synthetically generated text for supervised text analysis
Generative AI for medical research
Educhat: A large-scale language model-based chatbot system for intelligent education
What You See is What You Read? Improving Text-Image Alignment Evaluation
Multimodal Data Augmentation for Image Captioning using Diffusion Models
Grammatical error correction for learners of swedish as a second language
Astronomia ex machina: a history, primer and outlook on neural networks in astronomy
Studying psychosis using Natural Language Generation: A review of emerging opportunities
Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models
Generating unlabelled data for a tri-training approach in a low resourced NER task
Interactive Data Synthesis for Systematic Vision Adaptation via LLMs-AIGCs Collaboration
Flexkbqa: A flexible llm-powered framework for few-shot knowledge base question answering
AI-powered therapeutic target discovery
The Power of Generative AI: A Review of Requirements, Models, Input–Output Formats, Evaluation Metrics, and Challenges
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
Disc-medllm: Bridging general large language models and real-world medical consultation
Qwen technical report
Language conditioned traffic generation
Should ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI Era
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
How Do In-Context Examples Affect Compositional Generalization?
Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model
Leveraging speech ptm, text llm, and emotional tts for speech emotion recognition
Datasetdm: Synthesizing data with perception annotations using diffusion models
Chatgpt in the age of generative ai and large language models: A concise survey
Radiology-llama2: Best-in-class large language model for radiology
How Can IJDS Authors, Reviewers, and Editors Use (and Misuse) Generative AI?
New era after ChatGPT in ophthalmology: advances from data-based decision support to patient-centered generative artificial intelligence
Spear or Shield: Leveraging Generative AI to Tackle Security Threats of Intelligent Network Services
Image captions are natural prompts for text-to-image models
Examining the Potential of Generative Language Models for Aviation Safety Analysis: Case Study and Insights Using the Aviation Safety Reporting System …
Contextualized medication information extraction using Transformer-based deep learning architectures
Generative Social Choice
DTT: An Example-Driven Tabular Transformer by Leveraging Large Language Models
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation
The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective
LLM Adaptive PID Control for B5G Truck Platooning Systems
SLaDe: A Portable Small Language Model Decompiler for Optimized Assembler
Gaia-1: A generative world model for autonomous driving
Intelligent Grimm--Open-ended Visual Storytelling via Latent Diffusion Models
Exploring contrast consistency of open-domain question answering systems on minimally edited questions
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
Can large language models aid in annotating speech emotional data? uncovering new frontiers
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation
Talkin''Bout AI Generation: Copyright and the Generative-AI Supply Chain
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems
Opportunities and challenges for biomarker discovery using electronic health record data
Empowering vision-language models to follow interleaved vision-language instructions
Can Large Language Models Understand Real-World Complex Instructions?
The Age of Synthetic Realities: Challenges and Opportunities
Large language models and the future of rheumatology: assessing impact and emerging opportunities
Safeguarding Crowdsourcing Surveys from ChatGPT with Prompt Injection
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
Transforming sentiment analysis in the financial domain with chatgpt
Schema-Driven Information Extraction from Heterogeneous Tables
Practicing trustworthy machine learning
Modeling Human-like Concept Learning with Bayesian Inference over Natural Language
Utilizing ChatGPT to Enhance Clinical Trial Enrollment
In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
Automated Test Generation for Medical Rules Web Services: A Case Study at the Cancer Registry of Norway
The Future of Cybercrime: AI and Emerging Technologies Are Creating a Cybercrime Tsunami
Differentially Private Conditional Text Generation For Synthetic Data Production
Synthesize high-dimensional longitudinal electronic health records via hierarchical autoregressive language model
The Rise of Generative Artificial Intelligence in Healthcare
Data: The Fuel for Generative AI
Generative AI and the Workforce: What Are the Risks?
Synthetic Cross-language Information Retrieval Training Data
Developing prompts from large language model for extracting clinical information from pathology and ultrasound reports in breast cancer
Neural machine translation data generation and augmentation using chatgpt
TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety
Chain of Natural Language Inference for Reducing Large Language Model Ungrounded Hallucinations
GenerateCT: Text-Guided 3D Chest CT Generation
Towards robustness of large language models on text-to-sql task: An adversarial and cross-domain investigation
covLLM: Large Language Models for COVID-19 Biomedical Literature
Synth-ac: Enhancing audio captioning with synthetic supervision
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!
Annotated dataset creation through large language models for non-english medical NLP
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation
ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models
Iaso: Enhancing Syntax Error Correction using Deep Learning Techniques
SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research
Adding 3D Geometry Control to Diffusion Models
The formai dataset: Generative ai in software security through the lens of formal verification
Generation of Synthetic Responses to Survey Questions Using GPT-3: A Case of Hard-to-Reach Members of Russian Elites (based on the Survey of Russian Elites)
Who's Harry Potter? Approximate Unlearning in LLMs
Privacy in Large Language Models: Attacks, Defenses and Future Directions
Feature-aware conditional GAN for category text generation
Evaluating Hallucinations in Chinese Large Language Models
Generating Mathematical Derivations with Large Language Models
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks
Zero-Label Prompt Selection
Truth-O-Meter: Collaborating with LLM in Fighting its Hallucinations
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes
QASA: Advanced Question Answering on Scientific Articles
The human cost of ethical artificial intelligence
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
Using deep learning to explore ultra-large scale astronomical datasets
Trading AI: Machine Knowledge Capital and the Trading System
Joint learning of practical dialogue systems and user simulators
LawBench: Benchmarking Legal Knowledge of Large Language Models
Let Segment Anything Help Image Dehaze
Next steps for human-centered generative AI: A technical perspective
Implicitly Supervised Neural Question Answering
SCITUNE: Aligning Large Language Models with Scientific Multimodal Instructions
ChatGPT in Dermatology: A Comprehensive Systematic Review
Conducting qualitative interviews with AI
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care
Open-Sourcing Highly Capable Foundation Models: An Evaluation of Risks, Benefits, and Alternative Methods for Pursuing Open-Source Objectives
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
How Simulation Helps Autonomous Driving: A Survey of Sim2real, Digital Twins, and Parallel Intelligence
Towards Scalable Structured Data from Clinical Text
Weakly-Supervised Questions for Zero-Shot Relation Extraction
Zero and Few-shot Semantic Parsing with Ambiguous Inputs
3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes
A Multimodal Text-to-MIDI Transformer Model With Special Consideration to Artist Usage
Automated vision-based construction progress monitoring in built environment through digital twin
From genotype to phenotype: computational approaches for inferring microbial traits relevant to the food industry
Implementing Australia's AI Ethics Principles: A selection of Responsible AI practices and resources
Does Synthetic Data Make Large Language Models More Efficient?
Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations
Health Disparities Through Generative AI Models: A Comparison Study Using a Domain Specific Large Language Model
Equitable Legal Remedies and the Existential Threat to Generative AI
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
P‐97: Applying a generative model to improve TFT measurement capacity performance
Hate Speech Detection in Limited Data Contexts using Synthetic Data Generation
TabuLa: Harnessing Language Models for Tabular Data Synthesis
Large Language Model as a User Simulator
Research Center on Language Technology, School of Computer Science and Engineering, Harbin Institute of Technology, Harbin, China {23S003048, 7203610706 …
Leveraging Generative AI and Large Language Models: A Comprehensive Roadmap for Healthcare Integration
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models
A Comprehensive Review of the Latest Advancements in Large Generative AI Models
Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
HIT-MI &T Lab's Submission to CCMT 2023 Automatic Post-editing Task
Data Augmentation with Large Language Models for Vietnamese Abstractive Text Summarization
Creating Conversational Systems with Temporal Reasoning in Zero Resource Domains with Synthetic Data and Large Language Models
Change Management using Generative Modeling on Digital Twins
On the Usefulness of Synthetic Tabular Data Generation
Synthetic data generation for domain adaptation of a retriever-reader Question Answering system for the Telecom domain: Comparing dense embeddings with BM25 …
In-Context Learning for Data Generation in Aspect-Based Opinion Extraction
DUTCH DATA AUGMENTATION FOR LOW-RESOURCE TASKS
Generative AI and the Foregrounding of Epistemic Injustice in Bioethics
CHIRon: A Generative Foundation Model for Structured Sequential Medical Data
GenerateCT: Text-Guided 3D Chest CT Generation
Spatio-temporal Storytelling? Leveraging Generative Models for Semantic Trajectory Analysis
Unsupervised Multitask Learning for Oil and Gas Language Models with Limited Resources
Self-Supervised Classification Using a Language Model for Functional Data
Research on the legal regulation of Generative Artificial intelligence——Take ChatGPT as an example
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks
EHRTutor: Enhancing Patient Understanding of Discharge Instructions
How to Train Your Large Language Model
Generating Medical Instructions with Conditional Transformer
Multi-Modal Augmentation for Large Language Models with Applications to Task-Oriented Dialogues
Unleashing the Power of Generative AI and Quantum Computing for Mutual Advancements
Text-Only Image Captioning with Multi-Context Data Generation
ODIN: On-demand Data Formulation to Mitigate Dataset Lock-in
Privately generating tabular data using language models
BIT. UA at BioASQ 11B: Two-Stage IR with Synthetic Training and Zero-Shot Answer Generation
CFGPT: Chinese Financial Assistant with Large Language Model
Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers
Generative Artificial Intelligence Consensus in a Trustless Network
ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality
A Multimodal Large Language Model for Forestry in pest and disease recognition
Causal-structure Driven Augmentations for Text OOD Generalization
Teaching Language Models to Hallucinate Less with Synthetic Tasks
Comparing Signature Detection of Convolutional Neural Network in Low-Level and Large Language Model in High-Level Programming Language
PAC-GPT: A novel approach to generating synthetic network traffic with GPT-3
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
Generative Artificial Intelligence in Finance: Risk Considerations
Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach
Self-Specialization: Uncovering Latent Expertise within Large Language Models
Few Shot Profiling of Cryptocurrency Influencers using Natural Language Inference &Large Language Models
Annotating Educational Dialog Act with Data Augmentation in Online One-on-One Tutoring
Generative AI in Medical Imaging: Applications, Challenges, and Ethics
RNA-to-image multi-cancer synthesis using cascaded diffusion models
Augmenting text for spoken language understanding with Large Language Models
When Large Language Models Meet Citation: A Survey
CAMEL: Communicative Agents for" Mind" Exploration of Large Language Model Society
Exploring the Viability of Synthetic Query Generation for Relevance Prediction
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
Adding guardrails to advanced chatbots
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation
SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs
Generative artificial intelligence and large language models for digital banking: First outlook and perspectives
Catch Me If You Can: Identifying Fraudulent Physician Reviews with Large Language Models Using Generative Pre-Trained Transformers
Beyond Classification: Financial Reasoning in State-of-the-Art Language Models
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Improving GPT Generated Synthetic Samples with Sampling-Permutation Algorithm
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Personal Data Detection in Free Text
Synthetic ethnography: Field devices for the qualitative study of generative models
Reinforcement Learning for Generative AI: A Survey
Visual Art in the Age of AI
Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression
LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models
Ethical challenges of large language models-a systematic literature review
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation
Generative Judge for Evaluating Alignment
BigIssue: A Realistic Bug Localization Benchmark
Risk and the future of AI: Algorithmic bias, data colonialism, and marginalization
The Governance Challenge Posed by Large Learning Models
SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation
Dense Retrieval Adaptation using Target Domain Description
Data Synthesis: Boosting Utility and Privacy in Natural Language Processing
Education in the age of Generative AI: Context and Recent Developments
Generative AI: Overview, Economic Impact, and Applications in Asset Management
The Role of AI Generative (Chat GPT) in the Education Sector: Boon or Bane
Effectively Using Public Data in Privacy Preserving Machine Learning
Data augmentation and generation for natural language processing
Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion
Towards an On-device Agent for Text Rewriting
Are Large Language Models Fit For Guided Reading?
WHO'S HARRY POTTER? APPROXIMATE UNLEARN
Software Testing of Generative AI Systems: Challenges and Opportunities
The Indeterminate Self and Large Language Models: A Nietzschean Critique of GPT-3
Datasets Construction and Development of QSAR Models for Predicting Micronucleus In Vitro and In Vivo Assay Outcomes
Insurance pools' merging in China needs careful design
MindLLM: Pre-training Lightweight Large Language Model from Scratch, Evaluations and Domain Applications
Deep learning in physical layer communications: Evolution and prospects in 5G and 6G networks
… Multi-Agent Intrusion Detection System Optimized by a Deep Reinforcement Learning Approach with a Dataset Enlarged Using a Generative Model to Reduce …
VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence
Towards Workflows for the Use of AI Foundation Models in Visual Inspection Applications
From Large Language Models to Databases and Back: A discussion on research and education
Text generation through a GPT based GAN model.
CITING: Large Language Models Create Curriculum for Instruction Tuning
xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark
Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection
CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images
Backdoor Threats from Compromised Foundation Models to Federated Learning
An Invariant Learning Characterization of Controlled Text Generation
An Activity System-based Perspective of Generative AI: Challenges and Research Directions
A Proposed Framework for Human-like Language Processing of ChatGPT in Academic Writing
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review
The CIO's Guide to Adopting Generative AI: Five Keys to Success
Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution
Initial policy considerations for generative artificial intelligence
TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks
Separating the Human Touch from AI-Generated Text using Higher Criticism: An Information-Theoretic Approach
AutoColor: Learned Light Power Control for Multi-Color Holograms
VerilogEval: Evaluating Large Language Models for Verilog Code Generation
Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models
AI Framework for Generative Design of Computational Experiments with Structures in Physical Environment
Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models
InterpreTutor: Using Large Language Models for Interpreter Assessment
Augmented Behavioral Annotation Tools, with Application to Multimodal Datasets and Models: A Systematic Review
KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection
Human Emotion and Sentiment in Natural Language Understanding and Generation using Large Language Models with Limited to No Labeled Data
The Significance of Artificial Intelligence in the Second Scientific Revolution-A Review
The Role of Federated Learning in a Wireless World with Foundation Models
Question Generation and Answering for exploring Digital Humanities collections
POTENTIAL IMPACT OF GENERATIVE ARTIFICIAL INTELLIGENCE (AI) ON THE FINANCIAL INDUSTRY
Utilizing Machine Learning Algorithms Trained on AI-generated Synthetic Participant Recent Music-Listening Activity in Predicting Big Five Personality Traits
Weakly supervised identification and generation of adaptive immune receptor sequences associated with immune disease status
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training
If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in History
Regularized Contrastive Masked Autoencoder Model for Machinery Anomaly Detection Using Diffusion-Based Data Augmentation
Application of Machine Learning Based on Structured Medical Data in Gastroenterology
GRID: A Platform for General Robot Intelligence Development
Neural Language Generation for Content Adaptation: Explainable, Efficient Low-Resource Text Simplification and Evaluation
The potential of Generative Artificial Intelligence across disciplines: perspectives and future directions
FABLES: Framework for Autonomous Behaviour-rich Language-driven Emotion-enabled Synthetic populations.
Mitigating Unintended Bias in Toxic Comment Detection using Entropy-based Attention Regularization
KI 2023: Advances in Artificial Intelligence: 46th German Conference on AI, Berlin, Germany, September 26–29, 2023, Proceedings
CapsFusion: Rethinking Image-Text Data at Scale
Synthesizing Soundscapes from Textual Input: Development and Comparison of Generative AI Models
Configuration Validation with Large Language Models
Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs
Farzi Data: Autoregressive Data Distillation
A Survey on Detection of LLMs-Generated Content
SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects
Efficient Utilization of Pre-trained Models: A Review of Sentiment Analysis via Prompt Learning
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
Towards Environmentally Equitable AI via Geographical Load Balancing
Learn From Model Beyond Fine-Tuning: A Survey
Mini-Giants:" Small" Language Models and Open Source Win-Win
Data Augmentation in Deep Learning
A New Dialogue Response Generation Agent for Large Language Models by Asking Questions to Detect User's Intentions
Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing
Beyond the Status Quo: A Contemporary Survey of Advances and Challenges in Audio Captioning
Reasoning over Description Logic-based Contexts with Transformers
Consistent Video-to-Video Transfer Using Synthetic Dataset
The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values
Quality> Quantity: Synthetic Corpora from Foundation Models for Closed-Domain Extractive Question Answering
Disentangled Representations beyond Vectors for Multimedia Content
Extensions and Applications of Deep Probabilistic Inference for Generative Models
TPACK in the age of ChatGPT and Generative AI
ChatGPT applications in Academic Research: A Review of Benefits, Concerns, and Recommendations
Semantically Enhanced Scene Captions with Physical and Weather Condition Changes
Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning
Exploring ChatGPT Capabilities and Limitations: A Survey
An Empirical Study of NetOps Capability of Pre-Trained Large Language Models
AN EMOTION RECOGNITION SYSTEM FOR ARABIC
Identification of Atomic Propositions in English Instructions for Flexible Translation to Robot Planning Representations
The Development of LLMs for Embodied Navigation
Inducing Symbolic Characteristics in Neural Question-Answering Systems via Data Interventions
Artificial Intelligence is Changing the Ethics of Medicine: Reflections from the Australian Epilepsy Project
The Deep Learning Revolution
Should ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI Era Advances in Artificial Intelligence and Machine …
Unsupervised and Self-Supervised Machine-Learning for Epilepsy Detection on EEG Data
On the Evolution of Knowledge Graphs: A Survey and Perspective
Evaluation of Automatic Text Summarization Using Synthetic Facts
Automated Test Case Generation Using Transformers and Domain Adaptation
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
A Psychometric Analysis of Natural Language Inference Using Transformer Language Models
The Generative AI Revolution
Cognitive States
Sequential Subset Matching for Dataset Distillation
Evaluating Large Language Models: A Comprehensive Survey
Revolutionizing Drug Formulation Development: The Increasing Impact of Machine Learning
Deep Generative Models for High Dimensional Spatial and Temporal Data Analysis
Robust Interactions With Machine Learning Models
A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4
Understanding Multilingual Language Models: Training, Representation and Architecture
Preparing Future Designers for Human-AI Collaboration in Persona Creation
Zephyr: Direct Distillation of LM Alignment
LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts
CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models
Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice
Prompt Generate Train (PGT): A framework for few-shot domain adaptation, alignment, and uncertainty calibration of a retriever augmented generation (RAG) model …
Evaluation of strategies for the adaptation of large neural models to the task of machine translation in constrained scenarios
Whisper-MCE: Whisper Model Finetuned for Better Performance with Mixed Languages
The Role of ChatGPT in Democratizing Data Science: An Exploration of AI-facilitated Data Analysis in Telematics
InclusiveRender A metaverse Engine prototype to support Accessible Environments for people with ASD
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain
Fairness of recommender systems in the recruitment domain: an analysis from technical and legal perspectives
An Efficient Fine-tuning Method for Hierarchical Semantic Parsing in Task-Oriented Dialog System by Structure-aware Boosting and Grammar Constraints
Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision
Expectations of AI Economic Impact &Gian AI Experiments: Case of ChatGPT 3.5
Data Science at the Singularity
Linking Surface Facts to Large-Scale Knowledge Graphs
Multiagent Simulators for Social Networks
Prompt Packer: Deceiving LLMs through Compositional Instruction with Hidden Attacks
Skill Graph Construction From Semantic Understanding
Learnable Sparsity and Weak Supervision for Data-Efficient, Transparent, and Compact Neural Models
Doolittle: Benchmarks and Corpora for Academic Writing Formalization
Adapting Gender-Inclusive Rewriting Models to Gender-Neutral German
Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization
Enhancing Interpretability and Interactivity in Robot Manipulation: A Neurosymbolic Approach
Learning multilingual and multimodal representations with language-specific encoders and decoders for machine translation
Mishra, P., Warr, M., &Islam, R.(in press). TPACK in the age of ChatGPT and Generative AI. Journal of Digital Learning in Teacher Education. https://doi. org …
A Framework for Generating Dangerous Scenes: Towards Explaining Realistic Driving Trajectories
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks
Text2Bundle: Towards Personalized Query-based Bundle Generation
Unity is Strength: Cross-Task Knowledge Distillation to Improve Code Review Generation
Quantify Health-Related Atomic Knowledge in Chinese Medical Large Language Models: A Computational Analysis
Deep Reinforcement Learning Approaches for Technology Enhanced Learning
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch
Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation
Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation
Search and Representation in Program Synthesis
Unleashing ChatGPT's Power: A Case Study on Optimizing Information Retrieval in Flipped Classrooms via Prompt Engineering
RoCar: A Relationship Network-based Evaluation Method to Large Language Models
Project European Language Equality (ELE) Grant agreement no. LC-01641480–101018166 ELE Coordinator Prof. Dr. Andy Way (DCU) Co-coordinator Prof. Dr …
Artificial Intelligence (AI) Trust Framework and Maturity Model: Applying an Entropy Lens to Improve Security, Privacy, and Ethical AI
A Mutation-Based Data Enhancement Method for Intelligent Software Vulnerability Detection
Findings of the Association for Computational Linguistics: EMNLP 2022
JADE: A Linguistic-based Safety Evaluation Platform for LLM
Optimizing Product Development and Innovation Processes with Artificial Intelligence
Advancing Space Radiation Biology with Big Data, Open Science, Standards, and ML
On Manipulating Scene Text in the Wild with Diffusion Models
Detecting Artificial Intelligence: A New Cyberarms Race Begins
Zero and Few-shot Semantic Parsing with Ambiguous Inputs
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities
Off-line handwritten text recognition with cross-outs and corrections using deep learning
Let Segment Anything Help Image Dehaze
BMWP: The First Bengali Math Word Problems Dataset for Operation Prediction and Solving
Medical Image Computing and Computer Assisted Intervention–MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023 …
Six Opportunities for Scientists and Engineers to Learn Programming Using AI Tools Such as ChatGPT
When Stochastic Parrots Learn to Swim: The Regulation of General Purpose Artificial Intelligence in the EU
Learned interpreters: structural and learned systematicity in neural networks for program execution
AI Regulation for the AI Revolution
Computational Experiments: A New Analysis Method for Cyber-Physical-Social Systems
Artificial Intelligence Beyond Weapons: Application and Impact of AI in the Military Domain
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence
ViPE: Visualise Pretty-much Everything
Towards Visual Foundational Models of Physical Scenes
Knowledge-Augmented Deep Learning and Its Applications
Unraveling Acr-mediated Deactivation of CRISPR-Cas Systems: A Transformer Approach
Neural Retriever-Reader for Information Retrieval and Question Answering
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource Languages
Building Smart Systems to Satisfice User Intention in Situ: A Look Back to the Future
Bob Metcalfe
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
Implicit Chain of Thought Reasoning via Knowledge Distillation
DialogBench: Evaluating LLMs as Human-like Dialogue Systems
CLEVA: Chinese Language Models EVAluation Platform
Tighter Prediction Intervals for Causal Outcomes Under Hidden Confounding
Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications
Towards the Fundamental Limits of Knowledge Transfer over Finite Domains
Building an AI Platform
Privacy Requirements and Realities of Digital Public Goods
Unlearning and Privacy in Deep Neural Networks
TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings
Synergizing Human-AI Agency: A Guide of 23 Heuristics for Service Co-Creation with LLM-Based Agents
BERT, but Better: Improving Robustness using Human Insights
An Exploration of Decision Making Models in the Face of Untrusted Data
SCAR: Power Side-Channel Analysis at RTL-Level
Research on Safety Analysis and Response Methods of Autonomous Driving Technology Based on Artificial Intelligence
Current and future directions in network biology
Characterizing Dynamics on and of Networks via Higher-Order Interactions: Applications in Computational Neuroscience
Data Dysphoria: The Governance Challenge Posed by Large Learning Models
Unpacking the Ethical Value Alignment in Big Models
Subtractive Mixture Models via Squaring: Representation and Learning
Risk Assessment and Statistical Significance in the Age of Foundation Models
Large Language Models
If I Can't Predict My Future, Why Can AI? Exploring Human Interaction With Predictive Analytics
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
Modern Statistical and Causal Approaches to Psychology
Cultural and Linguistic Diversity Improves Visual Representations
Artificial Intelligence Adoption in Software Development
9 Personalized persuasion for behavior change
Dr. Sharangouda J. Patil
The Administrative State and Artificial Intelligence: Toward an Internal Law of Administrative Algorithms
Competition Between AI Foundation Models: Dynamics and Policy Recommendations
AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars
DIGITAL ANALYTICS AND RESEARCH TEAM-INNOVATION BRANCH ANNUAL REPORT| DECEMBER 2022
Monitoring the misalignment of machine tools with autoencoders after they are trained with transfer learning data
Intrusion Detection based on Federated Learning: a systematic review
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Using Language Models to Generate Text-to-SQL Training Data An Approach to Improve Performance of a Text-to-SQL Parser
How to Do Maths With Words
Model-Based Evaluation of Multilinguality
Principles, applications, and future of artificial intelligence in dermatology
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue
On Overcoming the Alleged Alienation between Christianity and Physics
Learning from Event Sequences
Tehnike izrade promptova za generiranje izvještaja o fiktivnim nogometnim utakmicama
Enhancing Textual Datasets with Large Language Model-based Data Augmentation for Neural Machine Translation
Face modeling and editing with deep neural networks
ChatGPT 大模型技术发展与应用.
Detekce a odstranění vodoznaků z obrazových dat
Um agente de jornalismo automatizado cobrindo a Amazônia Azul.
Tópicos em Gerenciamento de Dados e Informações: Minicursos do SBBD 2023