| 2026 | ACL | FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments. | Amir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay, Gaowen Liu, Ali Payani, Jayanth Srinivasa, Chitta Baral |
| 2026 | ACL | MMTabReal: Real-World Benchmark for Multimodal Table Understanding. | Prasham Yatinkumar Titiya, Jainil Trivedi, Chitta Baral, Vivek Gupta |
| 2026 | ACL | From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents. | Md Nayem Uddin, Kumar Shubham, Eduardo Blanco, Chitta Baral, Gengyu Wang |
| 2026 | WACV | The Perceptual Observatory Characterizing Robustness and Grounding in MLLMs. | Tejas Anvekar, Fenil Denish Bardoliya, Pavan K. Turaga, Chitta Baral, Vivek Gupta |
| 2025 | ACL | Map&Make: Schema Guided Text to Table Generation. | Naman Ahuja, Fenil Denish Bardoliya, Chitta Baral, Vivek Gupta |
| 2025 | ACL | Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks. | Amir Saeidi, Shivanshu Verma, Md Nayem Uddin, Chitta Baral |
| 2025 | ACL | GETReason: Enhancing Image Context Extraction through Hierarchical Multi-Agent Reasoning. | Shikhhar Siingh, Abhinav Rawat, Chitta Baral, Vivek Gupta |
| 2025 | ACL | UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization. | Md Nayem Uddin, Amir Saeidi, Divij Handa, Agastya Seth, Tran Cao Son, Eduardo Blanco, Steven R. Corman, Chitta Baral |
| 2025 | CVPR | TextInVision: Text and Prompt Complexity Driven Visual Text Generation Benchmark. | Forouzan Fallah, Maitreya Patel, Agneet Chatterjee, Vlad I. Morariu, Chitta Baral, Yezhou Yang |
| 2025 | EMNLP | QA-LIGN: Aligning LLMs through Constitutionally Decomposed QA. | Jacob Dineen, Aswin RRV, Qin Liu, Zhikun Xu, Xiao Ye, Ming Shen, Zhaonan Li, Shijie Lu, Chitta Baral, Muhao Chen, Ben Zhou |
| 2025 | EMNLP | AcT2I: Evaluating and Improving Action Depiction in Text-to-Image Models. | Vatsal Malaviya, Agneet Chatterjee, Maitreya Patel, Yezhou Yang, Chitta Baral |
| 2025 | EMNLP | How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on tau-bench. | Venkatesh Mishra, Amir Saeidi, Satyam Raj, Mutsumi Nakamura, Gaowen Liu, Ali Payani, Jayanth Srinivasa, Chitta Baral |
| 2025 | EMNLP | PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving. | Mihir Parmar, Palash Goyal, Xin Liu, Yiwen Song, Mingyang Ling, Chitta Baral, Hamid Palangi, Tomas Pfister |
| 2025 | EMNLP | PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving. | Mihir Parmar, Xin Liu, Palash Goyal, Yanfei Chen, Long T. Le, Swaroop Mishra, Hossein Mobahi, Jindong Gu, Zifeng Wang, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi |
| 2025 | EMNLP | ThinkTuning: Instilling Cognitive Reflections without Distillation. | Aswin RRV, Jacob Dineen, Divij Handa, Md Nayem Uddin, Mihir Parmar, Chitta Baral, Ben Zhou |
| 2025 | ICCV | RefEdit: A Benchmark and Method for Improving Instruction-Based Image Editing Model on Referring Expressions. | Bimsara Pathiraja, Maitreya Patel, Shivam Singh, Yezhou Yang, Chitta Baral |
| 2025 | ICLR | ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints. | Divij Handa, Pavel Dolin, Shrinidhi Kumbhar, Tran Cao Son, Chitta Baral |
| 2025 | ICLR | VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning. | Nilay Yilmaz, Maitreya Patel, Yiran Lawrence Luo, Tejas Gokhale, Chitta Baral, Suren Jayasuriya, Yezhou Yang |
| 2025 | IJCNLP | Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective. | Tejas Anvekar, Krishna Singh Rajput, Chitta Baral, Vivek Gupta |
| 2025 | NAACL | Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents. | Shrinidhi Kumbhar, Venkatesh Mishra, Kevin Coutinho, Divij Handa, Ashif Iquebal, Chitta Baral |
| 2025 | NAACL | Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning. | Venkatesh Mishra, Bimsara Pathiraja, Mihir Parmar, Sat Chidananda, Jayanth Srinivasa, Gaowen Liu, Ali Payani, Chitta Baral |
| 2025 | NAACL | ToW: Thoughts of Words Improve Reasoning in Large Language Models. | Zhikun Xu, Ming Shen, Jacob Dineen, Zhaonan Li, Xiao Ye, Shijie Lu, Aswin RRV, Chitta Baral, Ben Zhou |
| 2024 | AAAI | ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. | Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang |
| 2024 | ACL | LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. | Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral |
| 2024 | ACL | Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies. | Aswin RRV, Nemika Tyagi, Md Nayem Uddin, Neeraj Varshney, Chitta Baral |
| 2024 | ACL | The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness. | Neeraj Varshney, Pavel Dolin, Agastya Seth, Chitta Baral |
| 2024 | CVPR | On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. | Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang |
| 2024 | CVPR | Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. | Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang |
| 2024 | CVPR | ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations. | Maitreya Patel, Changhoon Kim, Sheng Cheng, Chitta Baral, Yezhou Yang |
| 2024 | CVPR | Evaluating Multimodal Large Language Models across Distribution Shifts and Augmentations. | Aayush Atul Verma, Amir Saeidi, Shamanthak Hegde, Ajay Therala, Fenil Denish Bardoliya, Nagaraju Machavarapu, Shri Ajay Kumar Ravindhiran, Srija Malyala, Agneet Chatterjee, Yezhou Yang, Chitta Baral |
| 2024 | ECCV | REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models. | Agneet Chatterjee, Yiran Luo, Tejas Gokhale, Yezhou Yang, Chitta Baral |
| 2024 | ECCV | Getting it Right: Improving Spatial Consistency in Text-to-Image Models. | Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang |
| 2024 | EMNLP | Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models. | Nisarg Patel, Mohith Kulkarni, Mihir Parmar, Aashna Budhiraja, Mutsumi Nakamura, Neeraj Varshney, Chitta Baral |
| 2024 | EMNLP | Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter? | Nemika Tyagi, Mihir Parmar, Mohith Kulkarni, Aswin RRV, Nisarg Patel, Mutsumi Nakamura, Arindam Mitra, Chitta Baral |
| 2024 | IROS | Learning Temporally Composable Task Segmentations with Language. | Divyanshu Raj, Omkar Patil, Weiwei Gu, Chitta Baral, Nakul Gopalan |
| 2024 | NAACL | Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. | Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang |
| 2024 | NAACL | InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis. | Kevin Scaria, Himanshu Gupta, Siddharth Goyal, Saurabh Arjun Sawant, Swaroop Mishra, Chitta Baral |
| 2024 | NAACL | Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with 'LITE'. | Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral |
| 2024 | SP | "Len or index or count, anything but v1": Predicting Variable Names in Decompilation Output with Transfer Learning. | Kuntal Kumar Pal, Ati Priya Bajaj, Pratyay Banerjee, Audrey Dutcher, Mutsumi Nakamura, Zion Leonahenahe Basque, Himanshu Gupta, Saurabh Arjun Sawant, Ujjwala Anantheswaran, Yan Shoshitaishvili, Adam Doup, Chitta Baral, Ruoyu Wang |
| 2023 | ACL | End-to-end Knowledge Retrieval with Multi-modal Queries. | Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral |
| 2023 | ACL | A Study on the Efficiency and Generalization of Light Hybrid Retrievers. | Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari |
| 2023 | ACL | Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA. | Neeraj Varshney, Chitta Baral |
| 2023 | ACL | A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. | Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral |
| 2023 | EACL | Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow. | Anjana Arunkumar, Swaroop Mishra, Bhavdeep Singh Sachdeva, Chitta Baral, Chris Bryan |
| 2023 | EACL | "John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility. | Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Scaria, Siddharth Goyal, Chitta Baral |
| 2023 | EACL | Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. | Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral |
| 2023 | EACL | How Many Data Samples is an Additional Instruction Worth? | Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral |
| 2023 | EMNLP | LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference. | Mutsumi Nakamura, Santosh Mashetty, Mihir Parmar, Neeraj Varshney, Chitta Baral |
| 2023 | EMNLP | InstructExcel: A Benchmark for Natural Language Instruction in Excel. | Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Plitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri |
| 2023 | WACV | Improving Diversity with Adversarially Learned Transformations for Domain Generalization. | Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang |
| 2022 | AAAI | Improving Biomedical Information Retrieval with Neural Retrievers. | Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral |
| 2022 | ACL | Semantically Distributed Robust Optimization for Vision-and-Language Inference. | Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang |
| 2022 | ACL | Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness. | Tejas Gokhale, Swaroop Mishra, Man Luo, Bhavdeep Singh Sachdeva, Chitta Baral |
| 2022 | ACL | Reframing Instructional Prompts to GPTk's Language. | Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi |
| 2022 | ACL | To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. | Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral |
| 2022 | ACL | Cross-Task Generalization via Natural Language Crowdsourcing Instructions. | Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi |
| 2022 | ACL | NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. | Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan |
| 2022 | ACL | Unsupervised Natural Language Inference Using PHL Triplet Generation. | Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral |
| 2022 | ACL | ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. | Neeraj Varshney, Swaroop Mishra, Chitta Baral |
| 2022 | ACL | Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. | Neeraj Varshney, Swaroop Mishra, Chitta Baral |
| 2022 | EMNLP | Lexi: Self-Supervised Learning of the UI Language. | Pratyay Banerjee, Shweti Mahajan, Kushal Arora, Chitta Baral, Oriana Riva |
| 2022 | EMNLP | Less is More: Summary of Long Instructions is Better for Program Synthesis. | Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral |
| 2022 | EMNLP | LILA: A Unified Benchmark for Mathematical Reasoning. | Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan |
| 2022 | EMNLP | CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. | Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang |
| 2022 | EMNLP | Is a Question Decomposition Unit All We Need? | Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral |
| 2022 | EMNLP | Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. | Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral |
| 2022 | EMNLP | Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems. | Neeraj Varshney, Chitta Baral |
| 2022 | NAACL | A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context. | Man Luo, Shuguang Chen, Chitta Baral |
| 2022 | NAACL | In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. | Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, Murad Mohammad, Chitta Baral |
| 2021 | AAAI | Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. | Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang |
| 2021 | ACL | WeaQA: Weak Supervision via Captions for Visual Question Answering. | Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral |
| 2021 | ACL | Constructing Flow Graphs from Procedural Cybersecurity Texts. | Kuntal Kumar Pal, Kazuaki Kashihara, Pratyay Banerjee, Swaroop Mishra, Ruoyu Wang, Chitta Baral |
| 2021 | ACL | Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction. | Ming Shen, Pratyay Banerjee, Chitta Baral |
| 2021 | EACL | 'Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks. | Man Luo, Shailaja Keyur Sampat, Riley Tallman, Yankai Zeng, Manuha Vancha, Akarshan Sajja, Chitta Baral |
| 2021 | EMNLP | Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering. | Man Luo, Yankai Zeng, Pratyay Banerjee, Chitta Baral |
| 2021 | EMNLP | Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model. | Kuntal Kumar Pal, Chitta Baral |
| 2021 | ICCV | Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. | Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral |
| 2021 | NAACL | Self-Supervised Test-Time Learning for Reading Comprehension. | Pratyay Banerjee, Tejas Gokhale, Chitta Baral |
| 2021 | NAACL | CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images. | Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral |
| 2020 | AAAI | Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models. | Arindam Mitra, Ishan Shrivastava, Chitta Baral |
| 2020 | ECCV | VQA-LOL: Visual Question Answering Under the Lens of Logic. | Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang |
| 2020 | EMNLP | Self-Supervised Knowledge Triplet Learning for Zero-Shot Question Answering. | Pratyay Banerjee, Chitta Baral |
| 2020 | EMNLP | Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. | Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang |
| 2020 | EMNLP | MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. | Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang |
| 2020 | EMNLP | Visuo-Lingustic Question Answering (VLQA) Challenge. | Shailaja Keyur Sampat, Yezhou Yang, Chitta Baral |
| 2019 | AAAI | Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming. | Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral |
| 2019 | ACL | Careful Selection of Knowledge to Solve Open Book Question Answering. | Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral |
| 2019 | ACL | Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge. | Ashok Prakash, Arpit Sharma, Arindam Mitra, Chitta Baral |
| 2019 | CVPR | Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs. | Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral |
| 2019 | IJCAI | Integrating Knowledge and Reasoning in Image Understanding. | Somak Aditya, Yezhou Yang, Chitta Baral |
| 2019 | WACV | Spatial Knowledge Distillation to Aid Visual Reasoning. | Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral |
| 2018 | AAAI | Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. | Somak Aditya, Yezhou Yang, Chitta Baral |
| 2018 | KR | Knowledge Representation and Reasoning in Answering Science Questions: A Case Study for Food Web Questions. | Arindam Mitra, Chitta Baral, Peter Clark |
| 2018 | UAI | Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving. | Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos |
| 2017 | EPIA | Reactive Maintenance Policies over Equalized States in Dynamic Environments. | Zeynep G. Saribatur, Chitta Baral, Thomas Eiter |
| 2017 | PRIMA | Revision and Updates in Possibly Action-Occurrence-Incomplete Narratives. | Chitta Baral, Tran Cao Son |
| 2016 | AAAI | Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning. | Arindam Mitra, Chitta Baral |
| 2016 | AAAI | Automatic Extraction of Events-Based Conditional Commonsense Knowledge. | Arpit Sharma, Chitta Baral |
| 2016 | ACL | Learning To Use Formulas To Solve Simple Arithmetic Problems. | Arindam Mitra, Chitta Baral |
| 2016 | PRIMA | Plan Failure Analysis: Formalization and Application in Interactive Planning Through Natural Language Communication. | Chitta Baral, Tran Cao Son, Michael Gelfond, Arindam Mitra |
| 2015 | AAAI | Knowledge Representation and Reasoning: What's Hot. | Chitta Baral, Giuseppe De Giacomo |
| 2015 | AAAI | Exploring the KD45 Property of a Kripke Model After the Execution of an Action Sequence. | Tran Cao Son, Enrico Pontelli, Chitta Baral, Gregory Gelfond |
| 2015 | ACL | The NL2KR Platform for building Natural Language Translation Systems. | Nguyen Ha Vo, Arindam Mitra, Chitta Baral |
| 2015 | EMNLP | Learning to Automatically Solve Logic Grid Puzzles. | Arindam Mitra, Chitta Baral |
| 2015 | IJCAI | Towards Addressing the Winograd Schema Challenge - Building and Using a Semantic Parser and a Knowledge Hunting Module. | Arpit Sharma, Nguyen Ha Vo, Somak Aditya, Chitta Baral |
| 2015 | LPNMR | "Add Another Blue Stack of the Same Height!": ASP Based Planning and Plan Failure Analysis. | Chitta Baral, Tran Cao Son |
| 2015 | NAACL | Recognizing Social Constructs from Textual Conversation. | Somak Aditya, Chitta Baral, Nguyen Ha Vo, Joohyung Lee, Jieping Ye, Zaw Naung, Barry Lumpkin, Jenny Hastings, Richard B. Scherl, Dawn M. Sweet, Daniela Inclezan |
| 2015 | PSB | Session Introduction. | Graciela Gonzalez, Chitta Baral, Jeff Kiefer, Suengchan Kim, Jieping Ye |
| 2014 | AAAI | Pathway Specification and Comparative Queries: A High Level Language with Petri Net Semantics. | Saadat Anwar, Chitta Baral |
| 2014 | JELIA | Finitary S5-Theories. | Tran Cao Son, Enrico Pontelli, Chitta Baral, Gregory Gelfond |
| 2013 | LPNMR | Encoding Higher Level Extensions of Petri Nets in Answer Set Programming. | Saadat Anwar, Chitta Baral, Katsumi Inoue |
| 2013 | LPNMR | The NL2KR System. | Chitta Baral, Juraj Dzifcak, Kanchan Kumbhare, Nguyen Ha Vo |
| 2013 | LPNMR | Event-Object Reasoning with Curated Knowledge Bases: Deriving Missing Information. | Chitta Baral, Nguyen Ha Vo |
| 2012 | ICLP | Answering Why and How questions with respect to a frame-based knowledge base: a preliminary report. | Chitta Baral, Nguyen Ha Vo, Shanshan Liang |
| 2012 | KR | Solving Puzzles Described in English by Automated Translation to Answer Set Programming and Learning How to Do that Translation. | Chitta Baral, Juraj Dzifcak |
| 2012 | KR | From Knowledge Represented in Frame-Based Languages to Declarative Representation and Reasoning via ASP. | Chitta Baral, Shanshan Liang |
| 2011 | LPNMR | Lessons from Efforts to Automatically Translate English to Knowledge Representation Languages. | Chitta Baral |
| 2010 | ICDE | GenerIE: Information extraction using database queries. | Luis Tari, Phan Huy Tu, Jrg Hakenberg, Yi Chen, Tran Cao Son, Graciela Gonzalez, Chitta Baral |
| 2010 | KR | Reasoning about Actions and Change: From Single Agent Actions to Multi-Agent Actions (Extended Abstract). | Chitta Baral |
| 2010 | KR | Invited Presentations at the Twelfth International Conference on Principles of Knowledge Representation and Reasoning. | Chitta Baral, Ian Horrocks, Yoav Shoham |
| 2010 | PSB | Extraction of Genotype-Phenotype-Drug Relationships from Text: From Entity Recognition to Bioinformatics Application. | Adrien Coulet, Nigam H. Shah, Lawrence Hunter, Chitta Baral, Russ B. Altman |
| 2010 | PSB | Synthesis of Pharmacokinetic Pathways through Knowledge Acquisition and Automated Reasoning. | Luis Tari, Saadat Anwar, Shanshan Liang, Jrg Hakenberg, Chitta Baral |
| 2009 | ICRA | What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal management and action execution. | Juraj Dzifcak, Matthias Scheutz, Chitta Baral, Paul W. Schermerhorn |
| 2009 | LPNMR | Modeling Multi-agent Domains in an Action Languages: An Empirical Study Using . | Chitta Baral, Tran Cao Son, Enrico Pontelli |
| 2009 | NAACL | Towards Effective Sentence Simplification for Automatic Processing of Biomedical Text. | Siddhartha Jonnalagadda, Luis Tari, Jrg Hakenberg, Chitta Baral, Graciela Gonzalez |
| 2009 | PSB | Querying Parse Tree Database of Medline Text to Synthesize User-Specific Biomolecular Networks. | Luis Tari, Jrg Hakenberg, Graciela Gonzalez, Chitta Baral |
| 2008 | AAAI | Using Answer Set Programming and Lambda Calculus to Characterize Natural Language Sentences with Normatives and Exceptions. | Chitta Baral, Juraj Dzifcak, Tran Cao Son |
| 2008 | AAAI | Non-monotonic Temporal Logics that Facilitate Elaboration Tolerant Revision of Goals. | Chitta Baral, Jicheng Zhao |
| 2008 | ICLP | Using Answer Set Programming for Knowledge Representation and Reasoning: Future Directions. | Chitta Baral |
| 2008 | PRICAI | State-Based Regression with Sensing and Knowledge. | Richard B. Scherl, Tran Cao Son, Chitta Baral |
| 2007 | ICLP | Towards Overcoming the Knowledge Acquisition Bottleneck in Answer Set Prolog Applications: Embracing Natural Language Inputs. | Chitta Baral, Juraj Dzifcak, Luis Tari |
| 2007 | IJCAI | Using the Probabilistic Logic Programming Language P-log for Causal and Counterfactual Reasoning and Non-Naive Conditioning. | Chitta Baral, Matt Hunsaker |
| 2007 | IJCAI | Non-monotonic Temporal Logics for Goal Specification. | Chitta Baral, Jicheng Zhao |
| 2007 | PSB | Mining Gene-Disease Relationships from Biomedical Literature: Weighting Proteinprotein Interactions and Connectivity. | Graciela Gonzalez, Juan C. Uribe, Luis Tari, Colleen Brophy, Chitta Baral |
| 2006 | AAAI | Goal Specification, Non-Determinism and Quantifying over Policies. | Chitta Baral, Jicheng Zhao |
| 2006 | CIT | Using AnsProlog with Link Grammar and WordNet for QA with deep reasoning. | Chitta Baral, Luis Tari |
| 2006 | ICLP | Macros, Macro Calls and Use of Ensembles in Modular Answer Set Programming. | Chitta Baral, Juraj Dzifcak, Hiro Takahashi |
| 2005 | AAAI | Using SAT and Logic Programming to Design Polynomial-Time Algorithms for Planning in Non-Deterministic Domains. | Chitta Baral, Thomas Eiter, Jicheng Zhao |
| 2005 | AAAI | Reasoning about Intended Actions. | Chitta Baral, Michael Gelfond |
| 2005 | AAAI | Issues in Reasoning about Interaction Networks in Cells: Necessity of Event Ordering Knowledge. | Tran Hoai Nam, Chitta Baral, Carron Shankland |
| 2005 | AIME | An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset. | Xin Zhang, Chitta Baral, Seungchan Kim |
| 2005 | ECCB | Knowledge-based framework for hypothesis formation in biochemical networks. | Tran Hoai Nam, Chitta Baral, Vinay J. Nagaraj, Lokesh Joshi |
| 2005 | ISMB | IntEx: A Syntactic Role Driven Protein-Protein Interaction Extractor for Bio-Medical Text. | Syed Toufeeq Ahmed, Deepthi Chidambaram, Hasan Davulcu, Chitta Baral |
| 2005 | PSB | Understanding the Global Properties of Functionally-Related Gene Networks Using the Gene Ontology. | Luis Tari, Chitta Baral, P. Dasgupta |
| 2004 | AAAI | Adding Time and Intervals to Procedural and Hierarchical Control Specifications. | Tran Cao Son, Chitta Baral, Le-Chi Tuan |
| 2004 | AAAI | Encoding Probabilistic Causal Model in Probabilistic Action Language. | Tran Hoai Nam, Chitta Baral |
| 2004 | AAAI | Regression with Respect to Sensing Actions and Partial States. | Le-Chi Tuan, Chitta Baral, Xin Zhang, Tran Cao Son |
| 2004 | ECAI | Goal Specification in Presence of Non-Deterministic Actions. | Chitta Baral, Jicheng Zhao |
| 2004 | ISMB | A knowledge based approach for representing and reasoning about signaling networks. | Chitta Baral, Karen Chancellor, Tran Hoai Nam, Nhan Tran, Anna M. Joy, Michael E. Berens |
| 2004 | KR | A Polynomial-Time Algorithm for Constructing k-Maintainable Policies. | Chitta Baral, Thomas Eiter |
| 2004 | KR | Reasoning about Triggered Actions in AnsProlog and Its Application to Molecular Interactions in Cells. | Tran Hoai Nam, Chitta Baral |
| 2004 | LPNMR | Probabilistic Reasoning With Answer Sets. | Chitta Baral, Michael Gelfond, J. Nelson Rushton |
| 2004 | LPNMR | Planning with Sensing Actions and Incomplete Information Using Logic Programming. | Tran Cao Son, Phan Huy Tu, Chitta Baral |
| 2002 | AAAI | Reasoning about Actions in a Probabilistic Setting. | Chitta Baral, Tran Hoai Nam, Le-Chi Tuan |
| 2002 | KR | A Transition Function Based Characterization of Actions with Delayed and Continuous Effects. | Chitta Baral, Tran Cao Son, Le-Chi Tuan |
| 2002 | KR | The Complexity of Model Checking for Knowledge Update. | Chitta Baral, Yan Zhang |
| 2001 | IJCAI | Computational Complexity of Planning with Temporal Goals. | Chitta Baral, Vladik Kreinovich, Raul Trejo |
| 2001 | IJCAI | On the Semantics of Knowledge Update. | Chitta Baral, Yan Zhang |
| 2001 | LPNMR | Declarative Specification and Solution of Combinatorial Auctions Using Logic Programming. | Chitta Baral, Cenk Uyan |
| 2001 | LPNMR | Planning with Different Forms of Domain-Dependent Control Knowledge - An Answer Set Programming Approach. | Tran Cao Son, Chitta Baral, Sheila A. McIlraith |
| 2000 | AAAI | Maintainability: A Weaker Stabilizability Like Notion for High Level Control. | Mutsumi Nakamura, Chitta Baral, Marcus Bjreland |
| 2000 | AAAI | Towards Feasible Approach to Plan Checking under Probabilistic Uncertainty: Interval Methods. | Raul Trejo, Vladik Kreinovich, Chitta Baral |
| 2000 | CoopIS | Formalizing (and Reasoning About) the Specifications of Workflows. | Goce Trajcevski, Chitta Baral, Jorge Lobo |
| 2000 | KR | Formulating diagnostic problem solving using an action language with narratives and sensing. | Chitta Baral, Sheila A. McIlraith, Tran Cao Son |
| 1999 | IJCAI | Computational Complexity of Planning and Approximate Planning in Presence of Incompleteness. | Chitta Baral, Vladik Kreinovich, Raul Trejo |
| 1998 | ICDE | Design and Implementation of Display Specification for Multimedia Answers. | Chitta Baral, Graciela Gonzalez, Tran Cao Son |
| 1997 | IJCAI | Defeasible Specifications in Action Theories. | Chitta Baral, Jorge Lobo |
| 1996 | AAAI | A Reactive Mobile Robot Based on a Formal Theory of Action. | Chitta Baral, Luis Floriano, Alfredo Gabaldon, David Morales, Tran Cao Son, Richard G. Watson |
| 1996 | AAAI | Formalizing Narratives Using Nested Circumscription. | Chitta Baral, Alfredo Gabaldon, Alessandro Provetti |
| 1996 | KR | Value Minimization in Circumscription. | Chitta Baral, Alfredo Gabaldon, Alessandro Provetti |
| 1995 | IJCAI | Reasoning about actions: Non-deterministic effects, Constraints, and Qualification. | Chitta Baral |
| 1994 | AAAI | Rule Based Updates on Simple Knowledge Bases. | Chitta Baral |
| 1993 | IJCAI | Representing Concurrent Actions in Extended Logic Programming. | Chitta Baral, Michael Gelfond |
| 1992 | LPAR | Generalized Negation As Failure and Semantics of Normal Disjunctive Logic Programs. | Chitta Baral |
| 1991 | ISMIS | Combining Knowledge Bases Consisting of First Order Theories. | Chitta Baral, Sarit Kraus, Jack Minker, V. S. Subrahmanian |
| 1991 | ISMIS | WF³: A Semantics for Negation in Normal Disjunctive Logic Programs. | Chitta Baral, Jorge Lobo, Jack Minker |
| 1991 | LPNMR | Dualities between Alternative Semantics for Logic Programming and Nonmonotonic Reasoning (Extended Abstract). | Chitta Baral, V. S. Subrahmanian |
| 1990 | CADE | Generalized Well-founded Semantics for Logic Programs (Extended Abstract). | Chitta Baral, Jorge Lobo, Jack Minker |