| 2026 | ACL | APEX-MEM: Agentic Semi-Structured Memory with Temporal Reasoning for Long-Term Conversational AI. | Pratyay Banerjee, Masud Moshtaghi, Shivashankar Subramanian, Amita Misra, Ankit Chadha |
| 2026 | ICDCIT | Revise to Precise: Self-assessing Chain-of-Draft for Robust Decision-Making in LLMs. | Pratyay Banerjee, Panthadeep Bhattacharjee, Angshuman Jana |
| 2026 | SIGIR | Speak Beyond English: Multilingual Prompts Improve Query Classification in Small Language Models. | Pratyay Banerjee, Panthadeep Bhattacharjee, Angshuman Jana |
| 2024 | EACL | ProMISe: A Proactive Multi-turn Dialogue Dataset for Information-seeking Intent Resolution. | Yash Butala, Siddhant Garg, Pratyay Banerjee, Amita Misra |
| 2024 | NAACL | Towards Improved Multi-Source Attribution for Long-Form Answer Generation. | Nilay Patel, Shivashankar Subramanian, Siddhant Garg, Pratyay Banerjee, Amita Misra |
| 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 |
| 2022 | ACL | Semantically Distributed Robust Optimization for Vision-and-Language Inference. | Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang |
| 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 | Unsupervised Natural Language Inference Using PHL Triplet Generation. | Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral |
| 2022 | EMNLP | Lexi: Self-Supervised Learning of the UI Language. | Pratyay Banerjee, Shweti Mahajan, Kushal Arora, Chitta Baral, Oriana Riva |
| 2022 | EMNLP | Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. | Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral |
| 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 | EMNLP | Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering. | Man Luo, Yankai Zeng, Pratyay Banerjee, 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 |
| 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 |
| 2019 | ACL | Careful Selection of Knowledge to Solve Open Book Question Answering. | Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral |