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ORCIDSwarnadeep Saha
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2020 – today
- 2024
[b1]Swarnadeep Saha:
Interpretable, Modular, and Structured Multi-step Reasoning over Natural Language. University of North Carolina, Chapel Hill, USA, 2024- [c21]Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal:
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs. ACL (1) 2024: 7066-7085 - [c20]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. ICML 2024 - [c19]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: 8352-8370 - [i16]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 abs/2402.01620 (2024) - [i15]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 abs/2407.14414 (2024) - [i14]Justin Chih-Yao Chen, Archiki Prasad, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal:
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning. CoRR abs/2409.12147 (2024) - 2023
- [c18]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: 11069-11090 - [c17]Archiki Prasad, Swarnadeep Saha, Xiang Zhou, Mohit Bansal:
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness. EMNLP 2023: 10066-10086 - [c16]Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal:
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. ICLR 2023 - [c15]Swarnadeep Saha, Peter Hase, Mohit Bansal:
Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization. NeurIPS 2023 - [i13]Archiki Prasad, Swarnadeep Saha, Xiang Zhou, Mohit Bansal:
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness. CoRR abs/2304.10703 (2023) - [i12]Swarnadeep Saha, Peter Hase, Mohit Bansal:
Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Theory of Mind. CoRR abs/2306.09299 (2023) - [i11]Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal:
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs. CoRR abs/2309.13007 (2023) - [i10]Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li:
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. CoRR abs/2310.15123 (2023) - 2022
- [c14]Swarnadeep Saha, Prateek Yadav, Mohit Bansal:
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning. ACL (1) 2022: 1190-1208 - [c13]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: 2121-2131 - [i9]Swarnadeep Saha, Prateek Yadav, Mohit Bansal:
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning. CoRR abs/2204.04813 (2022) - [i8]Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal:
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. CoRR abs/2209.10492 (2022) - [i7]Swarnadeep Saha, Peter Hase, Nazneen Rajani, Mohit Bansal:
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations. CoRR abs/2211.07517 (2022) - [i6]Swarnadeep Saha, Xinyan Velocity Yu
, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz:
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. CoRR abs/2212.08607 (2022) - 2021
- [c12]Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal:
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning. EMNLP (1) 2021: 7716-7740 - [c11]Swarnadeep Saha, Prateek Yadav, Mohit Bansal:
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. NAACL-HLT 2021: 3662-3677 - [i5]Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal:
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning. CoRR abs/2104.07644 (2021) - [i4]Swarnadeep Saha, Prateek Yadav, Mohit Bansal:
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. CoRR abs/2106.01354 (2021) - 2020
- [c10]Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal:
PRover: Proof Generation for Interpretable Reasoning over Rules. EMNLP (1) 2020: 122-136 - [c9]Swarnadeep Saha, Yixin Nie, Mohit Bansal:
ConjNLI: Natural Language Inference Over Conjunctive Sentences. EMNLP (1) 2020: 8240-8252 - [i3]Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal:
PRover: Proof Generation for Interpretable Reasoning over Rules. CoRR abs/2010.02830 (2020) - [i2]Swarnadeep Saha, Yixin Nie, Mohit Bansal:
ConjNLI: Natural Language Inference Over Conjunctive Sentences. CoRR abs/2010.10418 (2020)
2010 – 2019
- 2019
- [c8]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: 402-411 - [c7]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: 6070-6074 - [c6]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: 5168-5174 - [i1]Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya, Peter W. Foltz, Renuka Sindhgatta, Bikram Sengupta:
Joint Multi-Domain Learning for Automatic Short Answer Grading. CoRR abs/1902.09183 (2019) - 2018
- [c5]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: 70-85 - [c4]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: 503-517 - [c3]Smit Marvaniya, Swarnadeep Saha, Tejas I. Dhamecha, Peter W. Foltz, Renuka Sindhgatta, Bikram Sengupta:
Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading. CIKM 2018: 993-1002 - [c2]Swarnadeep Saha, Mausam:
Open Information Extraction from Conjunctive Sentences. COLING 2018: 2288-2299 - 2017
- [c1]Swarnadeep Saha, Harinder Pal, Mausam:
Bootstrapping for Numerical Open IE. ACL (2) 2017: 317-323
Coauthor Index
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