yusuke1997/dblp-id-title huggingface dataset:
From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking
Parallel Interactive Networks for Multi-Domain Dialogue State Generation
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process
Collective Personal Profile Summarization with Social Networks
Implicit Feature Detection via a Constrained Topic Model and SVM
CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent
Regularized Minimum Error Rate Training
ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense
Text-based inference of moral sentiment change
Interpreting Language Models with Contrastive Explanations
IndiSocialFT: Multilingual Word Representation for Indian languages in code-mixed environment
Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
The infinite HMM for unsupervised PoS tagging
MARS: Multilingual Aspect-centric Review Summarisation
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections
Unsupervised Semantic Role Induction with Graph Partitioning
Graph Embeddings for Argumentation Quality Assessment
Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification
Revisiting Representation Degeneration Problem in Language Modeling
Selectively Answering Ambiguous Questions
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training
Word Alignment of English-Chinese Bilingual Corpus Based on Chucks
Leveraging Effective Query Modeling Techniques for Speech Recognition and Summarization
Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks
Discriminative Methods for Transliteration
Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification
Extracting Implicitly Asserted Propositions in Argumentation
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation
Data Diversity Matters for Robust Instruction Tuning
Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer
Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistants
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code
Towards Generalized Open Information Extraction
Generating Textual Adversaries with Minimal Perturbation
D²TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization
Prompt-Based Editing for Text Style Transfer
CAMRA: Copilot for AMR Annotation
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision
Selective Labeling: How to Radically Lower Data-Labeling Costs for Document Extraction Models
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models
Chinese Part-of-Speech Tagging: One-at-a-Time or All-at-Once? Word-Based or Character-Based?
Attending to Long-Distance Document Context for Sequence Labeling
PromptBERT: Improving BERT Sentence Embeddings with Prompts
Socratic Human Feedback (SoHF): Expert Steering Strategies for LLM Code Generation
On Efficient Retrieval of Top Similarity Vectors
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
Co-Teaching Student-Model through Submission Results of Shared Task
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
Fine Grained Citation Span for References in Wikipedia
What do we need to know about an unknown word when parsing German
Discourse Level Explanatory Relation Extraction from Product Reviews Using First-Order Logic
PSC: Extending Context Window of Large Language Models via Phase Shift Calibration
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking
Continually Improving Extractive QA via Human Feedback
Trainable Greedy Decoding for Neural Machine Translation
A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model
Misery Loves Complexity: Exploring Linguistic Complexity in the Context of Emotion Detection
Morphological Segmentation Inside-Out
The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders
AMR Parsing using Stack-LSTMs
GPS: Genetic Prompt Search for Efficient Few-Shot Learning
MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification
Evaluating Psychological Safety of Large Language Models
Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
Improving Synonym Recommendation Using Sentence Context
CodeAgent: Autonomous Communicative Agents for Code Review
emrQA: A Large Corpus for Question Answering on Electronic Medical Records
Conversational Semantic Parsing using Dynamic Context Graphs
Better Binarization for the CKY Parsing
Re-evaluating Machine Translation Results with Paraphrase Support
SAGEViz: SchemA GEneration and Visualization
A Graph Degeneracy-based Approach to Keyword Extraction
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise
Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022
Joint Embedding of Query and Ad by Leveraging Implicit Feedback
How much pretraining data do language models need to learn syntax?
T-Modules: Translation Modules for Zero-Shot Cross-Modal Machine Translation
Measuring and Improving Semantic Diversity of Dialogue Generation
Multi-Class Confidence Weighted Algorithms
LM2: A Simple Society of Language Models Solves Complex Reasoning
Top-Down Nearly-Context-Sensitive Parsing
Mixture Content Selection for Diverse Sequence Generation
The Gun Violence Database: A new task and data set for NLP
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models
Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy
Efficient Convolutional Neural Networks for Diacritic Restoration
Online Representation Learning in Recurrent Neural Language Models
VE-KD: Vocabulary-Expansion Knowledge-Distillation for Training Smaller Domain-Specific Language Models
Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models
Inference and Verbalization Functions During In-Context Learning
Noise-Aware Character Alignment for Bootstrapping Statistical Machine Transliteration from Bilingual Corpora
Retrieving Collocations From Korean Text
Unsupervised Learning of Hierarchical Conversation Structure
Enhancing the Context Representation in Similarity-based Word Sense Disambiguation
Unimodal and Crossmodal Refinement Network for Multimodal Sequence Fusion
Adaptive Parameterization for Neural Dialogue Generation
Visual Pivoting Unsupervised Multimodal Machine Translation in Low-Resource Distant Language Pairs
Annotator-Centric Active Learning for Subjective NLP Tasks
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification
Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain QA
Classifying Referential and Non-referential It Using Gaze
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective
Robust Fragment-Based Framework for Cross-lingual Sentence Retrieval
Enhancing Arguments Recognition for Financial Mathematical Reasoning over Hybrid Data
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties
A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Extracting Clusters of Specialist Terms from Unstructured Text
Cross-lingual Structure Transfer for Relation and Event Extraction
Attack Prompt Generation for Red Teaming and Defending Large Language Models
P5: Plug-and-Play Persona Prompting for Personalized Response Selection
WECA：A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition
What do Large Language Models Learn beyond Language?
Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering
Guiding a Well-Founded Parser with Corpus Statistics
Learning Generic Sentence Representations Using Convolutional Neural Networks
Pre-training Language Models for Comparative Reasoning
Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension
Corpus-Based Approach for Nominal Compound Analysis for Korean Based on Linguistic and Statistical Information
Ukrainian Resilience: A Dataset for Detection of Help-Seeking Signals Amidst the Chaos of War
What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding
Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
PALM: Few-Shot Prompt Learning for Audio Language Models
What's Hidden in a One-layer Randomly Weighted Transformer?
Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction
Dual Decomposition for Parsing with Non-Projective Head Automata
Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer
Unsupervised Text Deidentification
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness
Knowledge-Enhanced Evidence Retrieval for Counterargument Generation
A Pointer Network Architecture for Joint Morphological Segmentation and Tagging
Balancing Visual Context Understanding in Dialogue for Image Retrieval
Large Language Models and Multimodal Retrieval for Visual Word Sense Disambiguation
Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking
Evaluating the Knowledge Base Completion Potential of GPT
Automatic Acquisition of the
Valency-Augmented Dependency Parsing
PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning
Unsupervised Opinion Summarization Using Approximate Geodesics
Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach
Gradient Localization Improves Lifelong Pretraining of Language Models
Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs
Flexible Domain Adaptation for Automated Essay Scoring Using Correlated Linear Regression
A Rewriting Approach for Gender Inclusivity in Portuguese
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization
MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision
Grounded Compositional Outputs for Adaptive Language Modeling
ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing
Measure Children's Mindreading Ability with Machine Reading
On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling
Structured Databases of Named Entities from Bayesian Nonparametrics
KEPL: Knowledge Enhanced Prompt Learning for Chinese Hypernym-Hyponym Extraction
SPE: Symmetrical Prompt Enhancement for Fact Probing
Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages
Orthonormal Explicit Topic Analysis for Cross-Lingual Document Matching
Visual Editing with LLM-based Tool Chaining: An Efficient Distillation Approach for Real-Time Applications
Ask Language Model to Clean Your Noisy Translation Data
Scaling Law for Document Neural Machine Translation
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets
Knowledge-Grounded Dialogue Generation with Pre-trained Language Models
Scaling Laws for Fact Memorization of Large Language Models
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
Towards a Similarity-adjusted Surprisal Theory
Summarizing Contrastive Viewpoints in Opinionated Text
Transducer Disambiguation with Sparse Topological Features
When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions
Gradient-based Constrained Sampling from Language Models
It's going to be okay: Measuring Access to Support in Online Communities
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation
Box Embeddings: An open-source library for representation learning using geometric structures
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning
A New Minimally-Supervised Framework for Domain Word Sense Disambiguation
Concept Space Alignment in Multilingual LLMs
DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment
Do explanations make VQA models more predictable to a human?
Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator
LogiCoT: Logical Chain-of-Thought Instruction Tuning
Question Answering with Long Multiple-Span Answers
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models
Meta-Learning Fast Weight Language Models
MINERS: Multilingual Language Models as Semantic Retrievers
Differentially Private Language Models for Secure Data Sharing
An Empirical Study of Multimodal Model Merging
Morphological Priors for Probabilistic Neural Word Embeddings
Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n\^6) down to O(n\^3)
SARCAT: Generative Span-Act Guided Response Generation using Copy-enhanced Target Augmentation
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems
GraphQL Query Generation: A Large Training and Benchmarking Dataset
Thread Popularity Prediction and Tracking with a Permutation-invariant Model
Pruning Foundation Models for High Accuracy without Retraining
Turn-Level Active Learning for Dialogue State Tracking
Presentations are not always linear! GNN meets LLM for Text Document-to-Presentation Transformation with Attribution
An Adaptive Logical Rule Embedding Model for Inductive Reasoning over Temporal Knowledge Graphs
CoCoID: Learning Contrastive Representations and Compact Clusters for Semi-Supervised Intent Discovery
Accuracy-Based Scoring for DOT: Towards Direct Error Minimization for Data-Oriented Translation
When Are Tree Structures Necessary for Deep Learning of Representations?
Towards Better Document-level Relation Extraction via Iterative Inference
TWEETSUMM - A Dialog Summarization Dataset for Customer Service
Uncovering Main Causalities for Long-tailed Information Extraction
HyperText: Endowing FastText with Hyperbolic Geometry
Please Mind the Root: Decoding Arborescences for Dependency Parsing
Commonsense for Generative Multi-Hop Question Answering Tasks
Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization
SituatedQA: Incorporating Extra-Linguistic Contexts into QA
A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition
Global-to-Local Neural Networks for Document-Level Relation Extraction
DualTKB: A Dual Learning Bridge between Text and Knowledge Base
Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding
COUNT: COntrastive UNlikelihood Text Style Transfer for Text Detoxification
Improving Transition-Based Dependency Parsing with Buffer Transitions
Aspect Sentiment Quad Prediction as Paraphrase Generation
Speech Recognition and Meaning Interpretation: Towards Disambiguation of Structurally Ambiguous Spoken Utterances in Indonesian
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach
Exploiting Source-side Monolingual Data in Neural Machine Translation
Neuron-Level Knowledge Attribution in Large Language Models
Latent Tree Language Model
PHD: Pixel-Based Language Modeling of Historical Documents
ESPVR: Entity Spans Position Visual Regions for Multimodal Named Entity Recognition
A Regularization-based Framework for Bilingual Grammar Induction
If beam search is the answer, what was the question?
LADIS: Language Disentanglement for 3D Shape Editing
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation
ALVIN: Active Learning Via INterpolation
No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants
What's in a Name? Answer Equivalence For Open-Domain Question Answering
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research
TNT: Text Normalization based Pre-training of Transformers for Content Moderation
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting
Selecting Sentences for Answering Complex Questions
The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative
Building an Evaluation Scale using Item Response Theory
ClozEx: A Task toward Generation of English Cloze Explanation
CodeExp: Explanatory Code Document Generation
Effective Approaches to Attention-based Neural Machine Translation
FAST: Fast Annotation tool for SmarT devices
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals
Do *they* mean 'us'? Interpreting Referring Expression variation under Intergroup Bias
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering
An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations
PREDICT: Multi-Agent-based Debate Simulation for Generalized Hate Speech Detection
Automatically Assessing Review Helpfulness
Improving Contrastive Learning of Sentence Embeddings with Focal InfoNCE
Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization
EMNLP 2006, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, 22-23 July 2006, Sydney, Australia
Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection
Decoding with Large-Scale Neural Language Models Improves Translation
Convolutional Interaction Network for Natural Language Inference
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations
IITP-AI-NLP-ML@ CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 2020
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions
Mirror-Consistency: Harnessing Inconsistency in Majority Voting
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?
Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
Modeling Conversational Speech for Speech Recognition
Style & Topic Language Model Adaptation Using HMM-LDA
Let's discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality Assessment
Inquisitive Question Generation for High Level Text Comprehension
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
Unsupervised Multi-Granularity Summarization
Tense Manages to Predict Implicative Behavior in Verbs
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization
Human-grounded Evaluations of Explanation Methods for Text Classification
CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling
Analyzing Framing through the Casts of Characters in the News
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search
The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color
RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
KorSmishing Explainer: A Korean-centric LLM-based Framework for Smishing Detection and Explanation Generation
Learning Emotion Indicators from Tweets: Hashtags, Hashtag Patterns, and Phrases
Exploring Representation-level Augmentation for Code Search
UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation
Tensorized Embedding Layers
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?
Conditional Natural Language Inference
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
Unleashing the Power of Language Models in Text-Attributed Graph
Abstract Visual Reasoning with Tangram Shapes
Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models
Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension
IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages
ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Information
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
BookWorm: A Dataset for Character Description and Analysis
AdapterDrop: On the Efficiency of Adapters in Transformers
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Bidirectional Masked Self-attention and N-gram Span Attention for Constituency Parsing
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model
Efficient retrieval of tree translation examples for Syntax-Based Machine Translation
Fast Forwarding Low-Rank Training
Effective Use of Linguistic and Contextual Information for Statistical Machine Translation
Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule
Rationalizing Neural Predictions
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding
Mitigating Intrinsic Named Entity-Related Hallucinations of Abstractive Text Summarization
ASPIRO: Any-shot Structured Parsing-error-Induced ReprOmpting for Consistent Data-to-Text Generation
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction