Bootstrapping for Numerical Open IE. - Swarnadeep Saha; Harinder Pal; Mausam (ACL (2), 2017)

Balancing Human Efforts and Performance of Student Response Analyzer in Dialog-Based Tutors. - Tejas I. Dhamecha; Smit Marvaniya; Swarnadeep Saha; Renuka Sindhgatta; Bikram Sengupta (AIED (1), 2018)

Sentence Level or Token Level Features for Automatic Short Answer Grading?: Use Both. - Swarnadeep Saha; Tejas I. Dhamecha; Smit Marvaniya; Renuka Sindhgatta; Bikram Sengupta (AIED (1), 2018)

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 (CIKM, 2018)

Open Information Extraction from Conjunctive Sentences. - Swarnadeep Saha; Mausam (COLING, 2018)

Learning Outcomes and Their Relatedness in a Medical Curriculum. - Sneha Mondal; Tejas I. Dhamecha; Shantanu Godbole; Smriti Pathak; Red Mendoza; K. Gayathri Wijayarathna; Nabil Zary; Swarnadeep Saha; Malolan Chetlur (BEA@ACL, 2019)

Pre-Training BERT on Domain Resources for Short Answer Grading. - Chul Sung; Tejas I. Dhamecha; Swarnadeep Saha; Tengfei Ma 001; Vinay Reddy; Rishi Arora (EMNLP/IJCNLP (1), 2019)

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 (IJCAI, 2019)

Joint Multi-Domain Learning for Automatic Short Answer Grading. - Swarnadeep Saha; Tejas I. Dhamecha; Smit Marvaniya; Peter W. Foltz; Renuka Sindhgatta; Bikram Sengupta (CoRR, 2019)

PRover: Proof Generation for Interpretable Reasoning over Rules. - Swarnadeep Saha; Sayan Ghosh; Shashank Srivastava; Mohit Bansal (EMNLP (1), 2020)

ConjNLI: Natural Language Inference Over Conjunctive Sentences. - Swarnadeep Saha; Yixin Nie; Mohit Bansal (EMNLP (1), 2020)

ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning. - Swarnadeep Saha; Prateek Yadav; Lisa Bauer; Mohit Bansal (EMNLP (1), 2021)

multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. - Swarnadeep Saha; Prateek Yadav; Mohit Bansal (NAACL-HLT, 2021)

Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning. - Swarnadeep Saha; Prateek Yadav; Mohit Bansal (ACL (1), 2022)

Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations. - Swarnadeep Saha; Peter Hase; Nazneen Rajani; Mohit Bansal (EMNLP, 2022)

MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. - Swarnadeep Saha; Xinyan Yu 001; Mohit Bansal; Ramakanth Pasunuru; Asli Celikyilmaz (ACL (Findings), 2023)

ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness. - Archiki Prasad; Swarnadeep Saha; Xiang Zhou; Mohit Bansal (EMNLP, 2023)

Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. - Swarnadeep Saha; Shiyue Zhang 001; Peter Hase; Mohit Bansal (ICLR, 2023)

Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization. - Swarnadeep Saha; Peter Hase; Mohit Bansal (NeurIPS, 2023)

Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Theory of Mind. - Swarnadeep Saha; Peter Hase; Mohit Bansal (CoRR, 2023)

ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs. - Justin Chih-Yao Chen; Swarnadeep Saha; Mohit Bansal (ACL (1), 2024)

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 (ICML, 2024)

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. - Swarnadeep Saha; Omer Levy; Asli Celikyilmaz; Mohit Bansal; Jason Weston; Xian Li 003 (NAACL-HLT, 2024)

MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning. - Justin Chih-Yao Chen; Archiki Prasad; Swarnadeep Saha; Elias Stengel-Eskin; Mohit Bansal (CoRR, 2024)

Interpretable, Modular, and Structured Multi-step Reasoning over Natural Language. - Swarnadeep Saha (2024)

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 (ICLR, 2025)

Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge. - Swarnadeep Saha; Xian Li 003; Marjan Ghazvininejad; Jason Weston; Tianlu Wang (CoRR, 2025)

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning. - Chenxi Whitehouse; Tianlu Wang; Ping Yu; Xian Li 003; Jason Weston; Ilia Kulikov; Swarnadeep Saha (CoRR, 2025)

Bridging Offline and Online Reinforcement Learning for LLMs. - Jack Lanchantin; Angelica Chen; Janice Lan; Xian Li 003; Swarnadeep Saha; Tianlu Wang; Jing Xu; Ping Yu; Weizhe Yuan; Jason E. Weston; Sainbayar Sukhbaatar; Ilia Kulikov (CoRR, 2025)

OptimalThinkingBench: Evaluating Over and Underthinking in LLMs. - Pranjal Aggarwal; Seungone Kim; Jack Lanchantin; Sean Welleck; Jason Weston; Ilia Kulikov; Swarnadeep Saha (CoRR, 2025)