Swarnadeep Saha

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 35

Top Topics

Reasoning Mechanisms

Learning Outcomes

Top Venues

Publications

Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models. CoRR (2024)
Swarnadeep Saha, Archiki Prasad, Justin Chih-Yao Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal
System-1.x: Learning to Balance Fast and Slow Planning with Language Models. CoRR (2024)
Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs. ACL (1) (2024)
Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. NAACL-HLT (2024)
Swarnadeep Saha, Peter Hase, Mohit Bansal
Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization. NeurIPS (2023)
Archiki Prasad, Swarnadeep Saha, Xiang Zhou, Mohit Bansal
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness. EMNLP (2023)
Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. ICLR (2023)
Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. CoRR (2023)
Swarnadeep Saha, Peter Hase, Mohit Bansal
Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Theory of Mind. CoRR (2023)
Swarnadeep Saha, Xinyan Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. ACL (Findings) (2023)
Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs. CoRR (2023)
Archiki Prasad, Swarnadeep Saha, Xiang Zhou, Mohit Bansal
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness. CoRR (2023)
Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. CoRR (2022)
Swarnadeep Saha, Peter Hase, Nazneen Rajani, Mohit Bansal
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations. EMNLP (2022)
Swarnadeep Saha, Peter Hase, Nazneen Rajani, Mohit Bansal
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations. CoRR (2022)
Swarnadeep Saha, Prateek Yadav, Mohit Bansal
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning. CoRR (2022)
Swarnadeep Saha, Xinyan Velocity Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. CoRR (2022)
Swarnadeep Saha, Prateek Yadav, Mohit Bansal
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning. ACL (1) (2022)
Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning. CoRR (2021)
Swarnadeep Saha, Prateek Yadav, Mohit Bansal
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. CoRR (2021)
Swarnadeep Saha, Prateek Yadav, Mohit Bansal
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. NAACL-HLT (2021)
Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning. EMNLP (1) (2021)
Swarnadeep Saha, Yixin Nie, Mohit Bansal
ConjNLI: Natural Language Inference Over Conjunctive Sentences. CoRR (2020)
Swarnadeep Saha, Yixin Nie, Mohit Bansal
ConjNLI: Natural Language Inference Over Conjunctive Sentences. EMNLP (1) (2020)
Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal
PRover: Proof Generation for Interpretable Reasoning over Rules. CoRR (2020)
Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal
PRover: Proof Generation for Interpretable Reasoning over Rules. EMNLP (1) (2020)
Sneha Mondal, Tejas I. Dhamecha, Shantanu Godbole, Smriti Pathak, Red Mendoza, K. Gayathri Wijayarathna, Nabil Zary, Swarnadeep Saha, Malolan Chetlur
Learning Outcomes and Their Relatedness in a Medical Curriculum. BEA@ACL (2019)
Swarnadeep Saha, Malolan Chetlur, Tejas Indulal Dhamecha, K. Gayathri Wijayarathna, Red Mendoza, Paul Gagnon, Nabil Zary, Shantanu Godbole
Aligning Learning Outcomes to Learning Resources: A Lexico-Semantic Spatial Approach. IJCAI (2019)
Chul Sung, Tejas I. Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy, Rishi Arora
Pre-Training BERT on Domain Resources for Short Answer Grading. EMNLP/IJCNLP (1) (2019)
Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya, Peter Foltz, Renuka Sindhgatta, Bikram Sengupta
Joint Multi-Domain Learning for Automatic Short Answer Grading. CoRR (2019)
Tejas I. Dhamecha, Smit Marvaniya, Swarnadeep Saha, Renuka Sindhgatta, Bikram Sengupta
Balancing Human Efforts and Performance of Student Response Analyzer in Dialog-Based Tutors. AIED (1) (2018)
Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya, Renuka Sindhgatta, Bikram Sengupta
Sentence Level or Token Level Features for Automatic Short Answer Grading?: Use Both. AIED (1) (2018)
Swarnadeep Saha, Mausam
Open Information Extraction from Conjunctive Sentences. COLING (2018)
Smit Marvaniya, Swarnadeep Saha, Tejas I. Dhamecha, Peter Foltz, Renuka Sindhgatta, Bikram Sengupta
Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading. CIKM (2018)
Swarnadeep Saha, Harinder Pal, Mausam
Bootstrapping for Numerical Open IE. ACL (2) (2017)