← Authors

Mohit Bansal

309 papers · 2008–2026 · 16 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (24) 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (18) 🌍 Conference Polyglot (16) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (7) 🏠 Conference Loyalist (21) πŸ“› The Namer πŸ‘₯ Mega-Team (71) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (63) πŸ† Keyword Champion (9) πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (26) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (55) ⚑ Prolific Year (42) πŸ’Ž Century Club (305) ❓ The Questioner (16) πŸ”₯ Unstoppable (13) πŸš€ Conference Pioneer

Conferences

EMNLP (68) ACL (62) NAACL (51) NIPS (21) ICLR (20) CVPR (18) IJCNLP (15) EACL (13) AAAI (12) ICCV (6) ICML (5) COLING (4) CONLL (4) ECCV (4) WACV (4) IJCAI (2)

Top co-authors

Ramakanth Pasunuru (26) Jaemin Cho (22) Elias Stengel-Eskin (22) Shiyue Zhang (19) Hao Tan (19) Jie Lei (18) Peter Hase (18) Jaehong Yoon (16) Yixin Nie (15) Heng Ji (15)

Research topics

Reasoning (1) Linguistics (1)

Keywords

multimodal learning (34) large language model (26) text generation (18) natural language inference (15) video understanding (15) abstractive summarization (14) question answering (14) data augmentation (14) visual question answering (12) reinforcement learning (12) knowledge graph (11) language model (11) transfer learning (11) video question answering (11) multi-task learning (11) video captioning (9) attention mechanism (9) few-shot learning (9) commonsense reasoning (9) image captioning (8)

Papers

DreamRunner: Fine-Grained Compositional Story-to-Video Generation with Retrieval-Augmented Motion Adaptation AAAI 2026
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning EACL 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
TimeRefine: Temporal Grounding with Time Refining Video LLM WACV 2026
DAM: Dynamic Adapter Merging for Continual Video QA Learning WACV 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
Teaching Models to Balance Resisting and Accepting Persuasion NAACL 2025
Self-Consistency Preference Optimization ICML 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
Anyprefer: An Agentic Framework for Preference Data Synthesis ICLR 2025
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model 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
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
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos CVPR 2025
Glider: Global and Local Instruction-Driven Expert Router EMNLP 2025
Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level CVPR 2025
CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword Rationalization ACL 2025
Multi-Attribute Steering of Language Models via Targeted Intervention ACL 2025
LAQuer: Localized Attribution Queries in Content-grounded Generation ACL 2025
Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts CVPR 2024
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations NIPS 2024
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data NIPS 2024
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models NIPS 2024
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation AAAI 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
CoDi-2: In-Context Interleaved and Interactive Any-to-Any Generation CVPR 2024
Multimodal Representation Learning by Alternating Unimodal Adaptation CVPR 2024
Unified Embeddings for Multimodal Retrieval via Frozen LLMs EACL 2024
Hierarchical and Dynamic Prompt Compression for Efficient Zero-shot API Usage EACL 2024
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training ECCV 2024
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM EMNLP 2024
A Simple LLM Framework for Long-Range Video Question-Answering EMNLP 2024
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints EMNLP 2024
Knowledge-Aware Reasoning over Multimodal Semi-structured Tables EMNLP 2024
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation ICLR 2024
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy ICLR 2024
$\mathbb{D}^2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning ICLR 2024
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models ICLR 2024
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks ICLR 2024
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models ICLR 2024
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models ICLR 2024
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models ICML 2024
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
ReGAL: Refactoring Programs to Discover Generalizable Abstractions ICML 2024
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation NAACL 2024
Prompting Vision-Language Models For Aspect-Controlled Generation of Referring Expressions NAACL 2024
ADaPT: As-Needed Decomposition and Planning with Language Models NAACL 2024
Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models EACL 2023
Faithfulness-Aware Decoding Strategies for Abstractive Summarization EACL 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
VindLU: A Recipe for Effective Video-and-Language Pretraining CVPR 2023
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics CVPR 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
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
Exclusive Supermask Subnetwork Training for Continual Learning ACL 2023
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models NIPS 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
Exploring Continual Learning for Code Generation Models ACL 2023
On Conditional and Compositional Language Model Differentiable Prompting IJCAI 2023
Paxion: Patching Action Knowledge in Video-Language Foundation Models NIPS 2023
Debiasing Multimodal Models via Causal Information Minimization EMNLP 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
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
MeetingQA: Extractive Question-Answering on Meeting Transcripts ACL 2023
Hierarchical Video-Moment Retrieval and Step-Captioning CVPR 2023
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies 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
Unifying Vision, Text, and Layout for Universal Document Processing CVPR 2023
Non-Sequential Graph Script Induction via Multimedia Grounding ACL 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
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization ACL 2023
Revealing Single Frame Bias for Video-and-Language Learning ACL 2023
Vision Transformers Are Parameter-Efficient Audio-Visual Learners CVPR 2023
Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction EACL 2023
FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization NAACL 2022
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models NIPS 2022
How Much Can CLIP Benefit Vision-and-Language Tasks? ICLR 2022
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning ACL 2022
RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios NAACL 2022
Interactive Query-Assisted Summarization via Deep Reinforcement Learning NAACL 2022
Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs NAACL 2022
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks CVPR 2022
EnvEdit: Environment Editing for Vision-and-Language Navigation CVPR 2022
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations EMNLP 2022
ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments EMNLP 2022
Evaluating and Improving Factuality in Multimodal Abstractive Summarization EMNLP 2022
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality EMNLP 2022
Analyzing the Limits of Self-Supervision in Handling Bias in Language EMNLP 2022
GraDA: Graph Generative Data Augmentation for Commonsense Reasoning NAACL 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning NIPS 2022
SETSum: Summarization and Visualization of Student Evaluations of Teaching NAACL 2022
Multimodal Intent Discovery from Livestream Videos NAACL 2022
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data ACL 2022
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding AAAI 2022
CAISE: Conversational Agent for Image Search and Editing AAAI 2022
Fine-grained Image Captioning with CLIP Reward NAACL 2022
CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations NAACL 2022
Proposition-Level Clustering for Multi-Document Summarization 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
Efficient Few-Shot Fine-Tuning for Opinion Summarization NAACL 2022
GRAVL-BERT: Graphical Visual-Linguistic Representations for Multimodal Coreference Resolution COLING 2022
GraDA: Graph Generative Data Augmentation for Commonsense Reasoning COLING 2022
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets ACL 2022
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning ACL 2022
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners NIPS 2022
TVLT: Textless Vision-Language Transformer NIPS 2022
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning NIPS 2022
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations NAACL 2022
How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language ACL 2022
CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination NAACL 2022
On Curriculum Learning for Commonsense Reasoning NAACL 2022
Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging? NAACL 2022
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives NIPS 2022
Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information NAACL 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
Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline CONLL 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
Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling CVPR 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations NIPS 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
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks EACL 2021
Hidden Biases in Unreliable News Detection Datasets EACL 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
GENE: Global Event Network Embedding NAACL 2021
The Effect of Pretraining on Extractive Summarization for Scientific Documents NAACL 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
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer NIPS 2021
Detecting Moments and Highlights in Videos via Natural Language Queries NIPS 2021
ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI NAACL 2021
Robustness Gym: Unifying the NLP Evaluation Landscape NAACL 2021
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization NAACL 2021
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters NAACL 2021
Dynabench: Rethinking Benchmarking in NLP NAACL 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning NAACL 2021
Improving Generation and Evaluation of Visual Stories via Semantic Consistency NAACL 2021
DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization NAACL 2021
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization AAAI 2021
FIXMYPOSE: Pose Correctional Captioning and Retrieval AAAI 2021
Unifying Vision-and-Language Tasks via Text Generation ICML 2021
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension EMNLP 2020
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification EMNLP 2020
FENAS: Flexible and Expressive Neural Architecture Search EMNLP 2020
What Can We Learn from Collective Human Opinions on Natural Language Inference Data? EMNLP 2020
What is More Likely to Happen Next? Video-and-Language Future Event Prediction EMNLP 2020
ConjNLI: Natural Language Inference Over Conjunctive Sentences EMNLP 2020
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions EMNLP 2020
Simple Compounded-Label Training for Fact Extraction and Verification ACL 2020
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses AAAI 2020
Modality-Balanced Models for Visual Dialogue AAAI 2020
ManyModalQA: Modality Disambiguation and QA over Diverse Inputs AAAI 2020
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits AAAI 2020
DORB: Dynamically Optimizing Multiple Rewards with Bandits EMNLP 2020
Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision EMNLP 2020
ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization EMNLP 2020
PRover: Proof Generation for Interpretable Reasoning over Rules EMNLP 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
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval ECCV 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
TVQA+: Spatio-Temporal Grounding for Video Question Answering ACL 2020
Towards Robustifying NLI Models Against Lexical Dataset Biases ACL 2020
Diagnosing the Environment Bias in Vision-and-Language Navigation IJCAI 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
Continual and Multi-Task Architecture Search ACL 2019
Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) CONLL 2019
Multi-Target Embodied Question Answering CVPR 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks EMNLP 2019
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering EMNLP 2019
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale EMNLP 2019
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning EMNLP 2019
LXMERT: Learning Cross-Modality Encoder Representations from Transformers EMNLP 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 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
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
Expressing Visual Relationships via Language ACL 2019
PaperRobot: Incremental Draft Generation of Scientific Ideas ACL 2019
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension ACL 2019
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA ACL 2019
Improving Visual Question Answering by Referring to Generated Paragraph Captions ACL 2019
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation ACL 2018
Detecting Linguistic Characteristics of Alzheimer’s Dementia by Interpreting Neural Models NAACL 2018
Punny Captions: Witty Wordplay in Image Descriptions NAACL 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts NAACL 2018
Robust Machine Comprehension Models via Adversarial Training NAACL 2018
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models CONLL 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
Commonsense for Generative Multi-Hop Question Answering Tasks EMNLP 2018
Closed-Book Training to Improve Summarization Encoder Memory EMNLP 2018
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification COLING 2018
Incorporating Background Knowledge into Video Description Generation EMNLP 2018
SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories EMNLP 2018
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting ACL 2018
MAttNet: Modular Attention Network for Referring Expression Comprehension CVPR 2018
Multi-Reward Reinforced Summarization with Saliency and Entailment NAACL 2018
Game-Based Video-Context Dialogue EMNLP 2018
TVQA: Localized, Compositional Video Question Answering EMNLP 2018
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions CVPR 2017
Reinforced Video Captioning with Entailment Rewards EMNLP 2017
Multi-Task Video Captioning with Video and Entailment Generation ACL 2017
Proceedings of ACL 2017, System Demonstrations ACL 2017
Hierarchically-Attentive RNN for Album Summarization and Storytelling EMNLP 2017
Video Highlight Prediction Using Audience Chat Reactions EMNLP 2017
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures ACL 2016
Who did What: A Large-Scale Person-Centered Cloze Dataset EMNLP 2016
Interpreting Neural Networks to Improve Politeness Comprehension EMNLP 2016
Charagram: Embedding Words and Sentences via Character n-grams EMNLP 2016
Sort Story: Sorting Jumbled Images and Captions into Stories EMNLP 2016
Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions EMNLP 2016
We Are Humor Beings: Understanding and Predicting Visual Humor CVPR 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
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts NAACL 2016
Deep Multilingual Correlation for Improved Word Embeddings NAACL 2015
Machine Comprehension with Syntax, Frames, and Semantics IJCNLP 2015
Machine Comprehension with Syntax, Frames, and Semantics ACL 2015
Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation EMNLP 2014
Tailoring Continuous Word Representations for Dependency Parsing ACL 2014
Structured Learning for Taxonomy Induction with Belief Propagation ACL 2014
What are You Talking About? Text-to-Image Coreference CVPR 2014
Unsupervised Translation Sense Clustering NAACL 2012
Coreference Semantics from Web Features ACL 2012
The Surprising Variance in Shortest-Derivation Parsing ACL 2011
Mention Detection: Heuristics for the OntoNotes annotations CONLL 2011
Gappy Phrasal Alignment By Agreement ACL 2011
Web-Scale Features for Full-Scale Parsing ACL 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