Mohit Bansal

GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs ACL 2026 TimeRefine: Temporal Grounding with Time Refining Video LLM WACV 2026 PRInTS: Reward Modeling for Long-Horizon Information Seeking ACL 2026 Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection ACL 2026 PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise ACL 2026 DreamRunner: Fine-Grained Compositional Story-to-Video Generation with Retrieval-Augmented Motion Adaptation AAAI 2026 Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact EACL 2026 RotBench: Evaluating Multi-modal Large Language Models on Identifying Image Rotation EACL 2026 DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning EACL 2026 Teaching Models to Balance Resisting and Accepting Persuasion NAACL 2025 Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level CVPR 2025 SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts ICCV 2025 VEGGIE: Instructional Editing and Reasoning Video Concepts with Grounded Generation ICCV 2025 CAPTURE: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting ICCV 2025 FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline EMNLP 2025 MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation EMNLP 2025 Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning EMNLP 2025 Language Models Identify Ambiguities and Exploit Loopholes EMNLP 2025 MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning EMNLP 2025 Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning EMNLP 2025 RACCooN: Versatile Instructional Video Editing with Auto-Generated Narratives EMNLP 2025 Glider: Global and Local Instruction-Driven Expert Router EMNLP 2025 Multi-Attribute Steering of Language Models via Targeted Intervention ACL 2025 CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword Rationalization ACL 2025 LAQuer: Localized Attribution Queries in Content-grounded Generation ACL 2025 Self-Consistency Preference Optimization ICML 2025 VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos CVPR 2025 DAM: Dynamic Adapter Merging for Continual Video QA Learning WACV 2025 VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning ICLR 2025 Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel ICLR 2025 Unbounded: A Generative Infinite Game of Character Life Simulation ICLR 2025 Adapt-$\infty$: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection ICLR 2025 SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation ICLR 2025 CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion ICLR 2025 Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model ICLR 2025 Anyprefer: An Agentic Framework for Preference Data Synthesis ICLR 2025 System 1.x: Learning to Balance Fast and Slow Planning with Language Models ICLR 2025 DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback ICLR 2025 See It from My Perspective: How Language Affects Cultural Bias in Image Understanding ICLR 2025 Improving Faithfulness of Text-to-Image Diffusion Models through Inference Intervention WACV 2025 AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge NAACL 2025 MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration NAACL 2025 On Positional Bias of Faithfulness for Long-form Summarization NAACL 2025 Reverse Thinking Makes LLMs Stronger Reasoners NAACL 2025 Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks ICLR 2024 SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data NIPS 2024 Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences ACL 2024 The Unreasonable Effectiveness of Easy Training Data for Hard Tasks ACL 2024 ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs ACL 2024 Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings ACL 2024 REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset ACL 2024 Evaluating Very Long-Term Conversational Memory of LLM Agents ACL 2024 Soft Self-Consistency Improves Language Models Agents ACL 2024 The Power of Summary-Source Alignments ACL 2024 ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization ACL 2024 Unified Embeddings for Multimodal Retrieval via Frozen LLMs EACL 2024 Multimodal Representation Learning by Alternating Unimodal Adaptation CVPR 2024 Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts CVPR 2024 CoDi-2: In-Context Interleaved and Interactive Any-to-Any Generation CVPR 2024 LACIE: Listener-Aware Finetuning for Calibration in Large Language Models NIPS 2024 ADaPT: As-Needed Decomposition and Planning with Language Models NAACL 2024 Prompting Vision-Language Models For Aspect-Controlled Generation of Referring Expressions NAACL 2024 VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation AAAI 2024 Branch-Solve-Merge Improves Large Language Model Evaluation and Generation NAACL 2024 ReGAL: Refactoring Programs to Discover Generalizable Abstractions ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models ICML 2024 Analyzing and Mitigating Object Hallucination in Large Vision-Language Models ICLR 2024 ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models ICLR 2024 GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations NIPS 2024 Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models ICLR 2024 $\mathbb{D}^2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning ICLR 2024 Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy ICLR 2024 Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation ICLR 2024 Knowledge-Aware Reasoning over Multimodal Semi-structured Tables EMNLP 2024 LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints EMNLP 2024 A Simple LLM Framework for Long-Range Video Question-Answering EMNLP 2024 Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM EMNLP 2024 Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training ECCV 2024 Hierarchical and Dynamic Prompt Compression for Efficient Zero-shot API Usage EACL 2024 On Conditional and Compositional Language Model Differentiable Prompting IJCAI 2023 Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation NIPS 2023 TIES-Merging: Resolving Interference When Merging Models NIPS 2023 Any-to-Any Generation via Composable Diffusion NIPS 2023 Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models NIPS 2023 Paxion: Patching Action Knowledge in Video-Language Foundation Models NIPS 2023 PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation NIPS 2023 Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous Objects NIPS 2023 Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization NIPS 2023 Self-Chained Image-Language Model for Video Localization and Question Answering NIPS 2023 Revealing Single Frame Bias for Video-and-Language Learning ACL 2023 Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization ACL 2023 Non-Sequential Graph Script Induction via Multimedia Grounding ACL 2023 MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies ACL 2023 MeetingQA: Extractive Question-Answering on Meeting Transcripts ACL 2023 Exploring Continual Learning for Code Generation Models ACL 2023 Exclusive Supermask Subnetwork Training for Continual Learning ACL 2023 Evaluating the Factual Consistency of Large Language Models Through News Summarization ACL 2023 MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation ACL 2023 Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions? ACL 2023 Hierarchical Video-Moment Retrieval and Step-Captioning CVPR 2023 Unifying Vision, Text, and Layout for Universal Document Processing CVPR 2023 Vision Transformers Are Parameter-Efficient Audio-Visual Learners CVPR 2023 VindLU: A Recipe for Effective Video-and-Language Pretraining CVPR 2023 Improving Vision-and-Language Navigation by Generating Future-View Image Semantics CVPR 2023 Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction EACL 2023 Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models EACL 2023 Faithfulness-Aware Decoding Strategies for Abstractive Summarization EACL 2023 DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis EACL 2023 Social Commonsense for Explanation and Cultural Bias Discovery EACL 2023 GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models EACL 2023 HistAlign: Improving Context Dependency in Language Generation by Aligning with History EMNLP 2023 ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness EMNLP 2023 Generating Summaries with Controllable Readability Levels EMNLP 2023 Data Factors for Better Compositional Generalization EMNLP 2023 An Empirical Study of Multimodal Model Merging EMNLP 2023 Debiasing Multimodal Models via Causal Information Minimization EMNLP 2023 Unified Coarse-to-Fine Alignment for Video-Text Retrieval ICCV 2023 Scaling Data Generation in Vision-and-Language Navigation ICCV 2023 DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models ICCV 2023 Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees ICLR 2023 Perceiver-VL: Efficient Vision-and-Language Modeling With Iterative Latent Attention WACV 2023 Evaluating and Improving Factuality in Multimodal Abstractive Summarization EMNLP 2022 ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments EMNLP 2022 Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations EMNLP 2022 GraDA: Graph Generative Data Augmentation for Commonsense Reasoning COLING 2022 CAISE: Conversational Agent for Image Search and Editing AAAI 2022 GRAVL-BERT: Graphical Visual-Linguistic Representations for Multimodal Coreference Resolution COLING 2022 MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding AAAI 2022 When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data ACL 2022 GraDA: Graph Generative Data Augmentation for Commonsense Reasoning NAACL 2022 ECLIPSE: Efficient Long-Range Video Retrieval Using Sight and Sound ECCV 2022 StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation ECCV 2022 On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets ACL 2022 Efficient Few-Shot Fine-Tuning for Opinion Summarization NAACL 2022 EnvEdit: Environment Editing for Vision-and-Language Navigation CVPR 2022 VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks CVPR 2022 CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations NAACL 2022 Fine-grained Image Captioning with CLIP Reward NAACL 2022 Multimodal Intent Discovery from Livestream Videos NAACL 2022 SETSum: Summarization and Visualization of Student Evaluations of Teaching NAACL 2022 RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios NAACL 2022 FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations NAACL 2022 Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs NAACL 2022 Interactive Query-Assisted Summarization via Deep Reinforcement Learning NAACL 2022 Proposition-Level Clustering for Multi-Document Summarization NAACL 2022 Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging? NAACL 2022 FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization NAACL 2022 On Curriculum Learning for Commonsense Reasoning NAACL 2022 CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination NAACL 2022 How Much Can CLIP Benefit Vision-and-Language Tasks? ICLR 2022 Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning NIPS 2022 Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners NIPS 2022 TVLT: Textless Vision-Language Transformer NIPS 2022 Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning ACL 2022 How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language ACL 2022 Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning ACL 2022 LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning NIPS 2022 VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives NIPS 2022 WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models NIPS 2022 Analyzing the Limits of Self-Supervision in Handling Bias in Language EMNLP 2022 Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality EMNLP 2022 Data Augmentation for Abstractive Query-Focused Multi-Document Summarization AAAI 2021 FIXMYPOSE: Pose Correctional Captioning and Retrieval AAAI 2021 Detecting Moments and Highlights in Videos via Natural Language Queries NIPS 2021 Improving and Simplifying Pattern Exploiting Training EMNLP 2021 Continual Few-Shot Learning for Text Classification EMNLP 2021 Inducing Transformer’s Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks EMNLP 2021 NDH-Full: Learning and Evaluating Navigational Agents on Full-Length Dialogue EMNLP 2021 Finding a Balanced Degree of Automation for Summary Evaluation EMNLP 2021 Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization EMNLP 2021 ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning EMNLP 2021 FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging EMNLP 2021 iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration EMNLP 2021 Learning and Analyzing Generation Order for Undirected Sequence Models EMNLP 2021 To what extent do human explanations of model behavior align with actual model behavior? EMNLP 2021 Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline EMNLP 2021 Disentangling Online Chats with DAG-structured LSTMs ACL 2021 An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation ACL 2021 Analysis of Tree-Structured Architectures for Code Generation ACL 2021 ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback ACL 2021 mTVR: Multilingual Moment Retrieval in Videos ACL 2021 EmailSum: Abstractive Email Thread Summarization ACL 2021 Continuous Language Generative Flow ACL 2021 I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling ACL 2021 InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection ACL 2021 VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer NIPS 2021 Unifying Vision-and-Language Tasks via Text Generation ICML 2021 The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations NIPS 2021 InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection IJCNLP 2021 I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling IJCNLP 2021 Continuous Language Generative Flow IJCNLP 2021 EmailSum: Abstractive Email Thread Summarization IJCNLP 2021 mTVR: Multilingual Moment Retrieval in Videos IJCNLP 2021 ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback IJCNLP 2021 Analysis of Tree-Structured Architectures for Code Generation IJCNLP 2021 An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation IJCNLP 2021 Disentangling Online Chats with DAG-structured LSTMs IJCNLP 2021 Extending Multi-Document Summarization Evaluation to the Interactive Setting NAACL 2021 Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information NAACL 2021 DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization NAACL 2021 Improving Generation and Evaluation of Visual Stories via Semantic Consistency NAACL 2021 multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning NAACL 2021 Dynabench: Rethinking Benchmarking in NLP NAACL 2021 Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters NAACL 2021 Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization NAACL 2021 Robustness Gym: Unifying the NLP Evaluation Landscape NAACL 2021 ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI NAACL 2021 The Effect of Pretraining on Extractive Summarization for Scientific Documents NAACL 2021 GENE: Global Event Network Embedding NAACL 2021 Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline CONLL 2021 Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling CVPR 2021 Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks EACL 2021 Hidden Biases in Unreliable News Detection Datasets EACL 2021 TVQA+: Spatio-Temporal Grounding for Video Question Answering ACL 2020 What is More Likely to Happen Next? Video-and-Language Future Event Prediction EMNLP 2020 What Can We Learn from Collective Human Opinions on Natural Language Inference Data? EMNLP 2020 FENAS: Flexible and Expressive Neural Architecture Search EMNLP 2020 Towards Robustifying NLI Models Against Lexical Dataset Biases ACL 2020 AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses AAAI 2020 HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification EMNLP 2020 Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension EMNLP 2020 ManyModalQA: Modality Disambiguation and QA over Diverse Inputs AAAI 2020 TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval ECCV 2020 Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? EMNLP 2020 ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments EMNLP 2020 Simple Compounded-Label Training for Fact Extraction and Verification ACL 2020 Modality-Balanced Models for Visual Dialogue AAAI 2020 PRover: Proof Generation for Interpretable Reasoning over Rules EMNLP 2020 ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization EMNLP 2020 Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision EMNLP 2020 DORB: Dynamically Optimizing Multiple Rewards with Bandits EMNLP 2020 The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions EMNLP 2020 Diagnosing the Environment Bias in Vision-and-Language Navigation IJCAI 2020 ConjNLI: Natural Language Inference Over Conjunctive Sentences EMNLP 2020 Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits AAAI 2020 MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning ACL 2020 Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA ACL 2020 Adversarial NLI: A New Benchmark for Natural Language Understanding ACL 2020 Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? ACL 2020 Improving Visual Question Answering by Referring to Generated Paragraph Captions ACL 2019 Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA ACL 2019 Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension ACL 2019 PaperRobot: Incremental Draft Generation of Scientific Ideas ACL 2019 Continual and Multi-Task Architecture Search ACL 2019 Expressing Visual Relationships via Language ACL 2019 Automatically Learning Data Augmentation Policies for Dialogue Tasks IJCNLP 2019 Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering IJCNLP 2019 Revealing the Importance of Semantic Retrieval for Machine Reading at Scale IJCNLP 2019 Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning IJCNLP 2019 LXMERT: Learning Cross-Modality Encoder Representations from Transformers IJCNLP 2019 Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) CONLL 2019 Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation NAACL 2019 Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout NAACL 2019 AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning NAACL 2019 Multi-Target Embodied Question Answering CVPR 2019 Analyzing Compositionality-Sensitivity of NLI Models AAAI 2019 Combining Fact Extraction and Verification with Neural Semantic Matching Networks AAAI 2019 Automatically Learning Data Augmentation Policies for Dialogue Tasks EMNLP 2019 LXMERT: Learning Cross-Modality Encoder Representations from Transformers EMNLP 2019 Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning EMNLP 2019 Revealing the Importance of Semantic Retrieval for Machine Reading at Scale EMNLP 2019 Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering EMNLP 2019 Commonsense for Generative Multi-Hop Question Answering Tasks EMNLP 2018 Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation ACL 2018 Punny Captions: Witty Wordplay in Image Descriptions NAACL 2018 Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting ACL 2018 Detecting Linguistic Characteristics of Alzheimer’s Dementia by Interpreting Neural Models NAACL 2018 Multi-Reward Reinforced Summarization with Saliency and Entailment NAACL 2018 Dynamic Multi-Level Multi-Task Learning for Sentence Simplification COLING 2018 Robust Machine Comprehension Models via Adversarial Training NAACL 2018 Object Ordering with Bidirectional Matchings for Visual Reasoning NAACL 2018 Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information NAACL 2018 MAttNet: Modular Attention Network for Referring Expression Comprehension CVPR 2018 Game-Based Video-Context Dialogue EMNLP 2018 TVQA: Localized, Compositional Video Question Answering EMNLP 2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts NAACL 2018 Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models CONLL 2018 SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories EMNLP 2018 Incorporating Background Knowledge into Video Description Generation EMNLP 2018 Closed-Book Training to Improve Summarization Encoder Memory EMNLP 2018 Proceedings of ACL 2017, System Demonstrations ACL 2017 A Joint Speaker-Listener-Reinforcer Model for Referring Expressions CVPR 2017 Hierarchically-Attentive RNN for Album Summarization and Storytelling EMNLP 2017 Video Highlight Prediction Using Audience Chat Reactions EMNLP 2017 Reinforced Video Captioning with Entailment Rewards EMNLP 2017 Multi-Task Video Captioning with Video and Entailment Generation ACL 2017 Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts NAACL 2016 Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions EMNLP 2016 Sort Story: Sorting Jumbled Images and Captions into Stories EMNLP 2016 Interpreting Neural Networks to Improve Politeness Comprehension EMNLP 2016 Charagram: Embedding Words and Sentences via Character n-grams EMNLP 2016 We Are Humor Beings: Understanding and Predicting Visual Humor CVPR 2016 Who did What: A Large-Scale Person-Centered Cloze Dataset EMNLP 2016 End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures ACL 2016 What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment NAACL 2016 The Role of Context Types and Dimensionality in Learning Word Embeddings NAACL 2016 Deep Multilingual Correlation for Improved Word Embeddings NAACL 2015 Machine Comprehension with Syntax, Frames, and Semantics ACL 2015 Machine Comprehension with Syntax, Frames, and Semantics IJCNLP 2015 What are You Talking About? Text-to-Image Coreference CVPR 2014 Tailoring Continuous Word Representations for Dependency Parsing ACL 2014 Structured Learning for Taxonomy Induction with Belief Propagation ACL 2014 Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation EMNLP 2014 Unsupervised Translation Sense Clustering NAACL 2012 Coreference Semantics from Web Features ACL 2012 Web-Scale Features for Full-Scale Parsing ACL 2011 Gappy Phrasal Alignment By Agreement ACL 2011 The Surprising Variance in Shortest-Derivation Parsing ACL 2011 Mention Detection: Heuristics for the OntoNotes annotations CONLL 2011 Simple, Accurate Parsing with an All-Fragments Grammar ACL 2010 Efficient Parsing for Transducer Grammars NAACL 2009 The Power of Negative Thinking: Exploiting Label Disagreement in the Min-cut Classification Framework COLING 2008