| Title | Repo | Paper | Video |
|---|---|---|---|
| MemeCap: A Dataset for Captioning and Interpreting Memes |  |
  |
➖ |
| Incorporating Structured Representations into Pretrained Vision & Language Models using Scene Graphs | ➖ |  |
➖ |
| From Wrong to Right: A Recursive Approach Towards Vision-Language Explanation |  |
 |
➖ |
| Variance Matters: Detecting Semantic Differences without Corpus/Word Alignment |  |
|
➖ |
| Improving Transformer-based Program Repair Model through False Behavior Diagnosis |  |
|
➖ |
| Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality | ➖ |  |
➖ |
| Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data |   |
 |
➖ |
| AutoTrial: Prompting Language Models for Clinical Trial Design | ➖ |  |
➖ |
| POE: Process of Elimination for Multiple Choice Reasoning |  |
 |
➖ |
| MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition |  |
 |
➖ |
| Referring Image Segmentation via Joint Mask Contextual Embedding Learning and Progressive Alignment Network |  |
|
➖ |
| DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning | ➖ |  |
➖ |
| Generative Table Pre-Training Empowers Models for Tabular Prediction |  |
 |
➖ |
| Spoiler Detection as Semantic Text Matching |  |
|
➖ |
| Prompting Scientific Names for Zero-Shot Species Recognition | ➖ |  |
➖ |
| R2H: Building Multimodal Navigation Helpers that Respond to Help Requests |   |
 |
 |
| Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach | ➖ |  |
➖ |
| q2d: Turning Questions into Dialogs to Teach Models how to Search | ➖ |  |
➖ |
| The Benefits of Label-Description Training for Zero-Shot Text Classification |  |
 |
➖ |
| GEM: Gestalt Enhanced Markup Language Model for Web Understanding via Render Tree | ➖ | |
➖ |
| Pre-Training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification |  |
 |
➖ |
| IC3: Image Captioning by Committee Consensus |   |
 |
➖ |
| Towards Conceptualization of "Fair Explanation": Disparate Impacts of Anti-Asian Hate Speech Explanations on Content Moderators |  |
 |
➖ |
| Contrastive Learning for Inference in Dialogue |  |
 |
➖ |
| Post-Hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations |  |
|
➖ |
| Content- and Topology-Aware Representation Learning for Scientific Multi-Literature |  |
|
➖ |
| Can Language Models Understand Physical Concepts? |  |
 |
➖ |
| GazeVQA: A Video Question Answering Dataset for Multiview Eye-Gaze Task-Oriented Collaborations |  |
|
➖ |
| Continual Named Entity Recognition without Catastrophic Forgetting |  |
 |
➖ |
| A Generation-based Deductive Method for Math Word Problems |  |
|
➖ |
| GNAT: A General Narrative Alignment Tool | ➖ |  |
➖ |
| Analyzing Film Adaptation through Narrative Alignment | ➖ |  |
➖ |
| DALE: Generative Data Augmentation for Low-Resource Legal NLP |  |
 |
➖ |
| CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models |  |
 |
➖ |
| ChatEdit: Towards Multi-Turn Interactive Facial Image Editing via Dialogue |  |
 |
➖ |
| Towards LLM-Driven Dialogue State Tracking |  |
 |
➖ |
| Turn-Level Active Learning for Dialogue State Tracking | ➖ |  |
➖ |
| StructGPT: A General Framework for Large Language Model to Reason over Structured Data |  |
 |
➖ |
| Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models |  |
|
➖ |
| Semi-Supervised Multimodal Coreference Resolution in Image Narrations | ➖ |  |
➖ |
| Beyond Detection: A Defend-and-Summarize Strategy for Robust and Interpretable Rumor Analysis on Social Media |  |
|
➖ |
| VLIS: Unimodal Language Models Guide Multimodal Language Generation |  |
 |
➖ |
| Event Ontology Completion with Hierarchical Structure Evolution Networks |  |
|
➖ |
| LLM-Powered Data Augmentation for Enhanced Cross-Lingual Performance |  |
 |
➖ |
| Multi-Level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation |  |
 |
➖ |
| End-to-End Task-Oriented Dialogue: A Survey of Tasks, Methods, and Future Directions |  |
 |
➖ |
| KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning |  |
 |
➖ |
| COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation | ➖ |  |
➖ |
| Multi-Source Probing for Open-Domain Conversational Understanding | ➖ | |
➖ |
| Enhancing Textbooks with Visuals from the Web for Improved Learning |  |
 |
➖ |
| Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems | ➖ |  |
➖ |
| Evaluating Object Hallucination in Large Vision-Language Models |  |
 |
➖ |
| DueT: Image-Text Contrastive Transfer Learning with Dual-Adapter Tuning | |
➖ | |
| BioT5: Enriching Cross-Modal Integration in Biology with Chemical Knowledge and Natural Language Associations |  |
 |
➖ |
| Target-Oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation |  |
 |
➖ |
| Multi-Source Multi-Type Knowledge Exploration and Exploitation for Dialogue Generation |  |
|
➖ |
| EDIS: Entity-Driven Image Search over Multimodal Web Content |  |
 |
➖ |
| Fine-Grained Conversational Decoding via Isotropic and Proximal Search |  |
 |
➖ |
| RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation |  |
 |
➖ |
| Reinforced Target-Driven Conversational Promotion | ➖ | |
➖ |
| Polar Ducks and where to Find them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings | |||
| ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts | |||
| Did You Mean ...? Confidence-based Trade-Offs in Semantic Parsing | |||
| How do Languages Influence each Other? Studying Cross-Lingual Data Sharing During LM Fine-Tuning | |||
| Text Embeddings Reveal (Almost) as much as Text | |||
| Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement | |||
| An Expression Tree Decoding Strategy for Mathematical Equation Generation | |||
| BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases | |||
| APoLLo: Unified Adapter and Prompt Learning for Vision Language Models | |||
| Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney | |||
| PALS: Personalized Active Learning for Subjective Tasks in NLP | |||
| Symbolic Planning and Code Generation for Grounded Dialogue | |||
| Global Voices, Local Biases: Socio-Cultural Prejudices Across Languages | |||
| XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models | |||
| Transfer-Free Data-Efficient Multilingual Slot Labeling | |||
| A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems | |||
| DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules | |||
| QA-NatVer: Question Answering for Natural Logic-based Fact Verification | |||
| Can Language Models Laugh at YouTube Short-Form Videos? | |||
| Can Pre-Trained Vision and Language Models Answer Visual Information-Seeking Questions? | |||
| SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables | |||
| Causal Reasoning through Two Cognition Layers for Improving Generalization in Visual Question Answering | |||
| Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue | |||
| Document-Level Relationship Extraction by Bidirectional Constraints of Beta Rules | |||
| LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following | |||
| Language Model is Suitable for Correction of Handwritten Mathematical Expressions Recognition | |||
| Analyzing Cognitive Plausibility of Subword Tokenization | |||
| An Iteratively Parallel Generation Method with the Pre-Filling Strategy for Document-Level Event Extraction | |||
| Empirical Study of Zero-Shot NER with ChatGPT | |||
| SAMRank: Unsupervised Keyphrase Extraction using Self-Attention Map in BERT and GPT-2 | |||
| Revisiting Sparse Retrieval for Few-Shot Entity Linking | |||
| Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining | |||
| Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models | |||
| ACTOR: Active Learning with Annotator-Specific Classification Heads to Embrace Human Label Variation | |||
| Appraising the Potential uses and Harms of LLMs for Medical Systematic Reviews | |||
| Impressions: Visual Semiotics and Aesthetic Impact Understanding | |||
| CLEVR-Implicit: A Diagnostic Dataset for Implicit Reasoning in Referring Expression Comprehension | |||
| Vision-Enhanced Semantic Entity Recognition in Document Images via Visually-Asymmetric Consistency Learning | |||
| LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages | |||
| ViPE: Visualise Pretty-Much Everything | |||
| Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models | |||
| Unifying Cross-Lingual Transfer Across Scenarios of Resource Scarcity | |||
| NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs | |||
| Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models | |||
| Set Learning for Generative Information Extraction | |||
| Confidence-based Ensembling of Perspective-Aware Models | |||
| Multitask Multimodal Prompted Training for Interactive Embodied Task Completion | |||
| Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs | |||
| GROOViST: A Metric for Grounding Objects in Visual Storytelling | |||
| Multimodal Embodied Plan Prediction Augmented with Synthetic Embodied Dialogue | |||
| S2abEL: A Dataset for Entity Linking from Scientific Tables | |||
| Revisiting the Optimality of Word Lengths | |||
| ZGUL: Zero-Shot Generalization to Unseen Languages using Multi-Source Ensembling of Language Adapters | |||
| Code-Switching Metrics using Intonation Units | |||
| Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks | |||
| Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction | |||
| The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models | |||
| Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors | |||
| Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences | |||
| Understanding the Role of Input Token Characters in Language Models: How does Information Loss Affect Performance? | |||
| What else do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems | |||
| HiddenTables and PyQTax: A Cooperative Game and Dataset for TableQA to Ensure Scale and Data Privacy Across a Myriad | |||
| of Taxonomies | |||
| Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers | |||
| Evaluating and Modeling Attribution for Cross-Lingual Question Answering | |||
| Analyzing Modular Approaches for Visual Question Decomposition | |||
| Emergence of Abstract State Representations in Embodied Sequence Modeling | |||
| Task-Agnostic Low-Rank Adapters for Unseen English Dialects | |||
| Abstractive Open Information Extraction | |||
| Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans? | |||
| UniChart: A Universal Vision-Language Pretrained Model for Chart Comprehension and Reasoning | |||
| Better Quality Pre-Training Data and T5 Models for African Languages | |||
| Semi-Automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language | |||
| Models | |||
| Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning | |||
| ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos | |||
| When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks | |||
| Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought | |||
| Struct-XLM: A Structure Discovery Multilingual Language Model for Enhancing Cross-Lingual Transfer through Reinforcement Learning | |||
| GlobalBench: A Benchmark for Global Progress in Natural Language Processing | |||
| Towards Building more Robust NER Datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View | |||
| ALDi: Quantifying the Arabic Level of Dialectness of Text | |||
| Learning to Rank Context for Named Entity Recognition using a Synthetic Dataset | |||
| From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification | |||
| Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages | |||
| Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix | |||
| HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction | |||
| When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews | |||
| Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling | |||
| Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks | |||
| NL2TL: Transforming Natural Languages to Temporal Logics using Large Language Models | |||
| HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction | |||
| A Picture is Worth a Thousand Words: Language Models Plan from Pixels | |||
| Reader: Model-based Language-Instructed Reinforcement Learning | |||
| GenEx: A Commonsense-Aware Unified Generative Framework for Explainable Cyberbullying Detection | |||
| Fine-Grained Medical Vision-Language Representation Learning for Radiology Report Generation | |||
| A Cross-Linguistic Pressure for Uniform Information Density in Word Order | |||
| T2-NER: A Two-Stage Span-based Framework for Unified Named Entity Recognition with Templates | |||
| Testing the Predictions of Surprisal Theory in 11 Languages | |||
| U-CORE: A Unified Deep Cluster-Wise Contrastive Framework for Open Relation Extraction | |||
| Language Varieties of Italy: Technology Challenges and Opportunities | |||
| mGPT: Few-Shot Learners Go Multilingual | |||
| Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation |