| 2025 | EMNLP | MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning. | Justin Chih-Yao Chen, Archiki Prasad, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal |
| 2025 | ICLR | System 1.x: Learning to Balance Fast and Slow Planning with Language Models. | Swarnadeep Saha, Archiki Prasad, Justin Chih-Yao Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal |
| 2025 | ICML | Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge. | Swarnadeep Saha, Xian Li, Marjan Ghazvininejad, Jason E. Weston, Tianlu Wang |
| 2024 | ACL | ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs. | Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal |
| 2024 | ICML | MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models. | Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal |
| 2024 | NAACL | Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. | Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li |
| 2023 | ACL | MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. | Swarnadeep Saha, Xinyan Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz |
| 2023 | EMNLP | ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness. | Archiki Prasad, Swarnadeep Saha, Xiang Zhou, Mohit Bansal |
| 2023 | ICLR | Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. | Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal |
| 2022 | ACL | Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning. | Swarnadeep Saha, Prateek Yadav, Mohit Bansal |
| 2022 | EMNLP | Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations. | Swarnadeep Saha, Peter Hase, Nazneen Rajani, Mohit Bansal |
| 2021 | EMNLP | ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning. | Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal |
| 2021 | NAACL | multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. | Swarnadeep Saha, Prateek Yadav, Mohit Bansal |
| 2020 | EMNLP | PRover: Proof Generation for Interpretable Reasoning over Rules. | Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal |
| 2020 | EMNLP | ConjNLI: Natural Language Inference Over Conjunctive Sentences. | Swarnadeep Saha, Yixin Nie, Mohit Bansal |
| 2019 | EMNLP | Pre-Training BERT on Domain Resources for Short Answer Grading. | Chul Sung, Tejas I. Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy, Rishi Arora |
| 2019 | IJCAI | Aligning Learning Outcomes to Learning Resources: A Lexico-Semantic Spatial Approach. | Swarnadeep Saha, Malolan Chetlur, Tejas Indulal Dhamecha, K. Gayathri Wijayarathna, Red Mendoza, Paul Gagnon, Nabil Zary, Shantanu Godbole |
| 2018 | AIED | Balancing Human Efforts and Performance of Student Response Analyzer in Dialog-Based Tutors. | Tejas I. Dhamecha, Smit Marvaniya, Swarnadeep Saha, Renuka Sindhgatta, Bikram Sengupta |
| 2018 | AIED | Sentence Level or Token Level Features for Automatic Short Answer Grading?: Use Both. | Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya, Renuka Sindhgatta, Bikram Sengupta |
| 2018 | CIKM | Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading. | Smit Marvaniya, Swarnadeep Saha, Tejas I. Dhamecha, Peter W. Foltz, Renuka Sindhgatta, Bikram Sengupta |
| 2018 | COLING | Open Information Extraction from Conjunctive Sentences. | Swarnadeep Saha, Mausam |
| 2017 | ACL | Bootstrapping for Numerical Open IE. | Swarnadeep Saha, Harinder Pal, Mausam |