Swarnadeep Saha

According to our database, Swarnadeep Saha authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

2023

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation.

Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li

CoRR, 2023

ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs.

Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal

CoRR, 2023

Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Theory of Mind.

Swarnadeep Saha, Peter Hase, Mohit Bansal

CoRR, 2023

Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization.

Swarnadeep Saha, Peter Hase, Mohit Bansal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees.

Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness.

Archiki Prasad, Swarnadeep Saha, Xiang Zhou, Mohit Bansal

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation.

Swarnadeep Saha, Xinyan Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations.

Swarnadeep Saha, Peter Hase, Nazneen Rajani, Mohit Bansal

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning.

Swarnadeep Saha, Prateek Yadav, Mohit Bansal

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning.

Swarnadeep Saha, Prateek Yadav, Mohit Bansal

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning.

Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

ConjNLI: Natural Language Inference Over Conjunctive Sentences.

Swarnadeep Saha, Yixin Nie, Mohit Bansal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

PRover: Proof Generation for Interpretable Reasoning over Rules.

Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

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

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Pre-Training BERT on Domain Resources for Short Answer Grading.

Chul Sung, Tejas I. Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy, Rishi Arora

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

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

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

2018

Open Information Extraction from Conjunctive Sentences.

Swarnadeep Saha, Mausam

Proceedings of the 27th International Conference on Computational Linguistics, 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

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 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

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Balancing Human Efforts and Performance of Student Response Analyzer in Dialog-Based Tutors.

Tejas I. Dhamecha, Smit Marvaniya, Swarnadeep Saha, Renuka Sindhgatta, Bikram Sengupta

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

Bootstrapping for Numerical Open IE.

Swarnadeep Saha, Harinder Pal, Mausam

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017