Swarnadeep Saha

According to our database1, Swarnadeep Saha authored at least 25 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning.
CoRR, 2024

System-1.x: Learning to Balance Fast and Slow Planning with Language Models.
CoRR, 2024

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Theory of Mind.
CoRR, 2023

Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness.
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.
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.
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.
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.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
ConjNLI: Natural Language Inference Over Conjunctive Sentences.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

PRover: Proof Generation for Interpretable Reasoning over Rules.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Joint Multi-Domain Learning for Automatic Short Answer Grading.
CoRR, 2019

Aligning Learning Outcomes to Learning Resources: A Lexico-Semantic Spatial Approach.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Pre-Training BERT on Domain Resources for Short Answer Grading.
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.
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

2018
Open Information Extraction from Conjunctive Sentences.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading.
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.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Balancing Human Efforts and Performance of Student Response Analyzer in Dialog-Based Tutors.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Bootstrapping for Numerical Open IE.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017


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