yusuke1997/dblp-id-title huggingface dataset:
Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning
Towards Online Continuous Sign Language Recognition and Translation
Seeing through the mess: evolutionary dynamics of lexical polysemy
RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference
Modeling Perspective Using Adaptor Grammars
Global Thresholding and Multiple-Pass Parsing
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation
Exploring Vector Spaces for Semantic Relations
EnDex: Evaluation of Dialogue Engagingness at Scale
Entropy-Based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine Translation
Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method
MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language
Entity Tracking Improves Cloze-style Reading Comprehension
MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 - Industry Track, Singapore, December 6-10, 2023
AutoTrial: Prompting Language Models for Clinical Trial Design
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Internal and External Pressures on Language Emergence: Least Effort, Object Constancy and Frequency
META: Metadata-Empowered Weak Supervision for Text Classification
Multilingual Relation Classification via Efficient and Effective Prompting
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
Detecting and Explaining Causes From Text For a Time Series Event
Self-Supervised Behavior Cloned Transformers are Path Crawlers for Text Games
Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation
A Linear Observed Time Statistical Parser Based on Maximum Entropy Models
Learning From Free-Text Human Feedback - Collect New Datasets Or Extend Existing Ones?
Adapting the RASP System for the CoNLL07 Domain-Adaptation Task
End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions
ARKitSceneRefer: Text-based Localization of Small Objects in Diverse Real-World 3D Indoor Scenes
Handling and Presenting Harmful Text in NLP Research
Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles
Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models
Parameter-Efficient Tuning Makes a Good Classification Head
Reproducibility in Computational Linguistics: Is Source Code Enough?
Fine-Grained Emotion Detection in Health-Related Online Posts
MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction
Using Developer Discussions to Guide Fixing Bugs in Software
Learning to Rewrite for Non-Autoregressive Neural Machine Translation
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers
Improving Translation via Targeted Paraphrasing
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework
Visualizing Group Dynamics based on Multiparty Meeting Understanding
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models
Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping
Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering
COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images
Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games
Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis
Document-Level Neural Machine Translation with Hierarchical Attention Networks
Identifying Conspiracy Theories News based on Event Relation Graph
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing
A Discriminative Learning Model for Coordinate Conjunctions
Improved Arabic Dialect Classification with Social Media Data
Third-order Variational Reranking on Packed-Shared Dependency Forests
A Unified Syntax-aware Framework for Semantic Role Labeling
Non-Projective Parsing for Statistical Machine Translation
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
Generation of Word Graphs in Statistical Machine Translation
A Phrase-Based Alignment Model for Natural Language Inference
Can language models learn from explanations in context?
On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task
LayoutReader: Pre-training of Text and Layout for Reading Order Detection
Position-aware Attention and Supervised Data Improve Slot Filling
WinoLogic: A Zero-Shot Logic-based Diagnostic Dataset for Winograd Schema Challenge
RankGen: Improving Text Generation with Large Ranking Models
SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
RedApt: An Adaptor for wav2vec 2 EncodingFaster and Smaller Speech Translation without Quality Compromise
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Accurate Word Alignment Induction from Neural Machine Translation
BERT Has More to Offer: BERT Layers Combination Yields Better Sentence Embeddings
A Preliminary Exploration of GANs for Keyphrase Generation
When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
Knowledge is a Region in Weight Space for Fine-tuned Language Models
Leveraging Lexical Cohesion and Disruption for Topic Segmentation
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning
Analogical Math Word Problems Solving with Enhanced Problem-Solution Association
Towards Robust k-Nearest-Neighbor Machine Translation
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation
LDTM: A Latent Document Type Model for Cumulative Citation Recommendation
Facts That Matter
Textual supervision for visually grounded spoken language understanding
Authorship Attribution of Micro-Messages
A Unified Model of Phrasal and Sentential Evidence for Information Extraction
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Memory Grounded Conversational Reasoning
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA
A Japanese Predicate Argument Structure Analysis using Decision Lists
Towards Implicit Content-Introducing for Generative Short-Text Conversation Systems
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation
Language Models with Rationality
Knowledge Navigator: LLM-guided Browsing Framework for Exploratory Search in Scientific Literature
Importance of Self-Attention for Sentiment Analysis
A Human Judgement Corpus and a Metric for Arabic MT Evaluation
No Need to Pay Attention: Simple Recurrent Neural Networks Work!
Learning Neural Representation for CLIR with Adversarial Framework
A Pretrained Language Model for Cyber Threat Intelligence
SWEAT: Scoring Polarization of Topics across Different Corpora
MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models
Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4
An Experimental Analysis on Evaluating Patent Citations
Sometimes We Want Ungrammatical Translations
Dynamic Data Selection and Weighting for Iterative Back-Translation
Instruction Fine-Tuning: Does Prompt Loss Matter?
Flexible, Corpus-Based Modelling of Human Plausibility Judgements
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
Understanding and Mitigating Language Confusion in LLMs
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression
PolyWER: A Holistic Evaluation Framework for Code-Switched Speech Recognition
CLUSE: Cross-Lingual Unsupervised Sense Embeddings
RACE: Retrieval-augmented Commit Message Generation
Break it Down for Me: A Study in Automated Lyric Annotation
The Promise of Premise: Harnessing Question Premises in Visual Question Answering
Reinforcing the Topic of Embeddings with Theta Pure Dependence for Text Classification
PreQuEL: Quality Estimation of Machine Translation Outputs in Advance
PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification
HealthAlignSumm : Utilizing Alignment for Multimodal Summarization of Code-Mixed Healthcare Dialogues
Deploying a Retrieval based Response Model for Task Oriented Dialogues
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection
Unsupervised Neural Dependency Parsing
Relation-aware Ensemble Learning for Knowledge Graph Embedding
Speechformer: Reducing Information Loss in Direct Speech Translation
Towards Better Representations for Multi-Label Text Classification with Multi-granularity Information
Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models
Emotion Inference in Multi-Turn Conversations with Addressee-Aware Module and Ensemble Strategy
Dynamic Voting for Efficient Reasoning in Large Language Models
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification
STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation
Generating Classical Chinese Poems from Vernacular Chinese
The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse
Beyond Additive Fusion: Learning Non-Additive Multimodal Interactions
Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference
Are Large Language Models Consistent over Value-laden Questions?
Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning
Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course
Multilingual Grammar Induction with Continuous Language Identification
Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets
Language Model Prior for Low-Resource Neural Machine Translation
TaskDiff: A Similarity Metric for Task-Oriented Conversations
Unsupervised Semantic Role Labellin
Data Selection Curriculum for Neural Machine Translation
Learning Language Representations for Typology Prediction
What do we expect from Multiple-choice QA Systems?
A Bayesian Mixture Model for PoS Induction Using Multiple Features
Mixed Distillation Helps Smaller Language Models Reason Better
MAGMA - Multimodal Augmentation of Generative Models through Adapter-based Finetuning
SetGNER: General Named Entity Recognition as Entity Set Generation
Lion: Adversarial Distillation of Proprietary Large Language Models
How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States
The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation
Personal Large Language Model Agents: A Case Study on Tailored Travel Planning
Towards a Convex HMM Surrogate for Word Alignment
The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement
Evaluating Neural Word Representations in Tensor-Based Compositional Settings
Neural Generative Rhetorical Structure Parsing
Perturbation CheckLists for Evaluating NLG Evaluation Metrics
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following
Multi-Document Biography Summarization
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures
A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model
A Distributional Analysis of a Lexicalized Statistical Parsing Mode
Stacking Dependency Parsers
A Knowledge-driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining
You should evaluate your language model on marginal likelihood over tokenisations
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression
On the In-context Generation of Language Models
Predicting News Values from Headline Text and Emotions
Discriminative Learning of Selectional Preference from Unlabeled Text
TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification
Paraphrasing 4 Microblog Normalization
Capturing Out-of-Vocabulary Words in Arabic Text
Learning Discourse Relations with Active Data Selection
Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps
Improve Interpretability of Neural Networks via Sparse Contrastive Coding
Answer-state Recurrent Relational Network (AsRRN) for Constructed Response Assessment and Feedback Grouping
SNaC: Coherence Error Detection for Narrative Summarization
Treepiece: Faster Semantic Parsing via Tree Tokenization
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations
An unsupervised framework for tracing textual sources of moral change
Detecting Gang-Involved Escalation on Social Media Using Context
Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation
Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions
McPhraSy: Multi-Context Phrase Similarity and Clustering
A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video
LLM4Vis: Explainable Visualization Recommendation using ChatGPT
Constructing contrastive samples via summarization for text classification with limited annotations
Sentence Representation Learning with Generative Objective rather than Contrastive Objective
Preposition Sense Disambiguation and Representation
EtiCor: Corpus for Analyzing LLMs for Etiquettes
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation
Guiding Neural Story Generation with Reader Models
More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge
Unsupervised Neural Hidden Markov Models
Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations
DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework
Can AI Relate: Testing Large Language Model Response for Mental Health Support
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
PatchBERT: Just-in-Time, Out-of-Vocabulary Patching
Vote Prediction on Comments in Social Polls
Calibrate your listeners! Robust communication-based training for pragmatic speakers
Wasserstein Selective Transfer Learning for Cross-domain Text Mining
MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality
BC-Prover: Backward Chaining Prover for Formal Theorem Proving
Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing
Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks
Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization
Probing Pre-trained Language Models for Semantic Attributes and their Values
Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features
Introducing Spatial Information and a Novel Evaluation Scheme for Open-Domain Live Commentary Generation
Learning to Follow Object-Centric Image Editing Instructions Faithfully
GuardEmb: Dynamic Watermark for Safeguarding Large Language Model Embedding Service Against Model Stealing Attack
Active Learning for Rumor Identification on Social Media
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation
Implicit Deep Latent Variable Models for Text Generation
A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives
Open-domain Video Commentary Generation
DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents
What is the Essence of a Claim? Cross-Domain Claim Identification
Toward Stronger Textual Attack Detectors
Paraphrase Generation: A Survey of the State of the Art
Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning
Automatic Knowledge Acquisition for Case Alternation between the Passive and Active Voices in Japanese
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels
Snapshot-Guided Domain Adaptation for ELECTRA
MASIVE: Open-Ended Affective State Identification in English and Spanish
Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language
Mention Detection Crossing the Language Barrier
Deriving Adjectival Scales from Continuous Space Word Representations
Self-Training Large Language and Vision Assistant for Medical Question Answering
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models
Large Language Models are Students at Various Levels: Zero-shot Question Difficulty Estimation
DRLK: Dynamic Hierarchical Reasoning with Language Model and Knowledge Graph for Question Answering
Device-Dependent Readability for Improved Text Understanding
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
LORIA / Lorraine University at Multilingual Surface Realisation 2019
Multi-step Jailbreaking Privacy Attacks on ChatGPT
VIST5: An Adaptive, Retrieval-Augmented Language Model for Visualization-oriented Dialog
Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention
Characterizing the Value of Information in Medical Notes
Analyzing Learned Representations of a Deep ASR Performance Prediction Model
Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent
Towards a Probabilistic Model for Lexical Entailment
Multilingual Deep Lexical Acquisition for HPSGs via Supertagging
Optimized Event Storyline Generation based on Mixture-Event-Aspect Model
DataTales: A Benchmark for Real-World Intelligent Data Narration
Porting an Open Information Extraction System from English to German
Improving End-to-End Bangla Speech Recognition with Semi-supervised Training
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction
Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models
Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment
Supervised Keyphrase Extraction as Positive Unlabeled Learning
Neural Network for Heterogeneous Annotations
VIMI: Grounding Video Generation through Multi-modal Instruction
Extrinsic Evaluation of Cultural Competence in Large Language Models
Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation
Transfer Fine-Tuning: A BERT Case Study
There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning
Do sequence-to-sequence VAEs learn global features of sentences?
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sparse Frame Grouping Network with Action Centered for Untrimmed Video Paragraph Captioning
Reference-based Weak Supervision for Answer Sentence Selection using Web Data
Semantic-Based Multilingual Document Clustering via Tensor Modeling
Pre-training for Abstractive Document Summarization by Reinstating Source Text
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces
Progressive Transformer-Based Generation of Radiology Reports
CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading
Using Soft Constraints in Joint Inference for Clinical Concept Recognition
Augmented Natural Language for Generative Sequence Labeling
A Discriminative Model for Query Spelling Correction with Latent Structural SVM
Deconstructing word embedding algorithms
MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision
AfriCLIRMatrix: Enabling Cross-Lingual Information Retrieval for African Languages
Multi-pretraining for Large-scale Text Classification
Sociolectal Analysis of Pretrained Language Models
ActPlan-1K: Benchmarking the Procedural Planning Ability of Visual Language Models in Household Activities
Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences
SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale
Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling
Extending Logic Explained Networks to Text Classification
Interactive Visualization and Manipulation of Attention-based Neural Machine Translation
Inter-Weighted Alignment Network for Sentence Pair Modeling
A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules
Can LLMs Understand the Implication of Emphasized Sentences in Dialogue?
GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation
StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
Exact Sampling and Decoding in High-Order Hidden Markov Models
Expressive Interviewing: A Conversational System for Coping with COVID-19
Improving Simultaneous Translation by Incorporating Pseudo-References with Fewer Reorderings
Extractive Summarization Using Multi-Task Learning with Document Classification
Krimping texts for better summarization
XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
E2E Spoken Entity Extraction for Virtual Agents
Interactive Refinement of Cross-Lingual Word Embeddings
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering
Q-learning with Language Model for Edit-based Unsupervised Summarization
LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity