Chitta Baral

The Perceptual Observatory Characterizing Robustness and Grounding in MLLMs WACV 2026 PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving EMNLP 2025 AcT2I: Evaluating and Improving Action Depiction in Text-to-Image Models EMNLP 2025 UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs’ Memorization ACL 2025 Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective AACL 2025 ToW: Thoughts of Words Improve Reasoning in Large Language Models NAACL 2025 GETReason: Enhancing Image Context Extraction through Hierarchical Multi-Agent Reasoning ACL 2025 Map&Make: Schema Guided Text to Table Generation ACL 2025 Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation NAACL 2025 Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning NAACL 2025 Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks ACL 2025 Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents NAACL 2025 Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective IJCNLP 2025 VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning ICLR 2025 ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints ICLR 2025 RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions ICCV 2025 How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on tau-bench EMNLP 2025 QA‐LIGN: Aligning LLMs through Constitutionally Decomposed QA EMNLP 2025 PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving EMNLP 2025 ThinkTuning: Instilling Cognitive Reflections without Distillation EMNLP 2025 Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies ACL 2024 ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models AAAI 2024 EDM3: Event Detection as Multi-task Text Generation NAACL 2024 Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with ‘LITE’ NAACL 2024 InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis NAACL 2024 Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts NAACL 2024 Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models EMNLP 2024 Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter? EMNLP 2024 On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation CVPR 2024 ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations CVPR 2024 TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives NIPS 2024 LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models ACL 2024 The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness ACL 2024 InstructExcel: A Benchmark for Natural Language Instruction in Excel EMNLP 2023 Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA ACL 2023 End-to-end Knowledge Retrieval with Multi-modal Queries ACL 2023 A Study on the Efficiency and Generalization of Light Hybrid Retrievers ACL 2023 A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution ACL 2023 “John is 50 years old, can his son be 65?” Evaluating NLP Models’ Understanding of Feasibility EACL 2023 Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions EACL 2023 Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow EACL 2023 How Many Data Samples is an Additional Instruction Worth? EACL 2023 LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference EMNLP 2023 Improving Diversity With Adversarially Learned Transformations for Domain Generalization WACV 2023 Semantically Distributed Robust Optimization for Vision-and-Language Inference ACL 2022 Reframing Instructional Prompts to GPTk’s Language ACL 2022 To Find Waldo You Need Contextual Cues: Debiasing Who’s Waldo ACL 2022 Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering ACL 2022 Let the Model Decide its Curriculum for Multitask Learning NAACL 2022 In-BoXBART: Get Instructions into Biomedical Multi-Task Learning NAACL 2022 A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context NAACL 2022 ILDAE: Instance-Level Difficulty Analysis of Evaluation Data ACL 2022 Improving Biomedical Information Retrieval with Neural Retrievers AAAI 2022 Towards Improving Selective Prediction Ability of NLP Systems ACL 2022 Less is More: Summary of Long Instructions is Better for Program Synthesis EMNLP 2022 Is a Question Decomposition Unit All We Need? EMNLP 2022 LILA: A Unified Benchmark for Mathematical Reasoning EMNLP 2022 CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering EMNLP 2022 Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems EMNLP 2022 Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task EMNLP 2022 Lexi: Self-Supervised Learning of the UI Language EMNLP 2022 Cross-Task Generalization via Natural Language Crowdsourcing Instructions ACL 2022 NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks ACL 2022 Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness ACL 2022 Unsupervised Natural Language Inference Using PHL Triplet Generation ACL 2022 Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL 2022 Attribute-Guided Adversarial Training for Robustness to Natural Perturbations AAAI 2021 Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering EMNLP 2021 Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model EMNLP 2021 Weakly Supervised Relative Spatial Reasoning for Visual Question Answering ICCV 2021 Constructing Flow Graphs from Procedural Cybersecurity Texts ACL 2021 WeaQA: Weak Supervision via Captions for Visual Question Answering ACL 2021 Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction IJCNLP 2021 WeaQA: Weak Supervision via Captions for Visual Question Answering IJCNLP 2021 Constructing Flow Graphs from Procedural Cybersecurity Texts IJCNLP 2021 Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction ACL 2021 Self-Supervised Test-Time Learning for Reading Comprehension NAACL 2021 CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images NAACL 2021 ‘Just because you are right, doesn’t mean I am wrong’: Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks EACL 2021 MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering EMNLP 2020 Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner’s Perspective EMNLP 2020 Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models AAAI 2020 Language-Conditioned Imitation Learning for Robot Manipulation Tasks NIPS 2020 Self-Supervised Knowledge Triplet Learning for Zero-Shot Question Answering EMNLP 2020 Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning EMNLP 2020 VQA-LOL: Visual Question Answering under the Lens of Logic ECCV 2020 Visuo-Linguistic Question Answering (VLQA) Challenge EMNLP 2020 Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming AAAI 2019 Careful Selection of Knowledge to Solve Open Book Question Answering ACL 2019 Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge ACL 2019 Identification of Adverse Drug Reaction Mentions in Tweets – SMM4H Shared Task 2019 ACL 2019 Integrating Knowledge and Reasoning in Image Understanding IJCAI 2019 Learning To Use Formulas To Solve Simple Arithmetic Problems ACL 2016 The NL2KR Platform for building Natural Language Translation Systems IJCNLP 2015 Learning to Automatically Solve Logic Grid Puzzles EMNLP 2015 Recognizing Social Constructs from Textual Conversation NAACL 2015 The NL2KR Platform for building Natural Language Translation Systems ACL 2015 Towards Addressing the Winograd Schema Challenge — Building and Using a Semantic Parser and a Knowledge Hunting Module IJCAI 2015 Towards Effective Sentence Simplification for Automatic Processing of Biomedical Text NAACL 2009