Saha, Swarnadeep

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

Chen, J. C.-Y., Saha, S., & Bansal, M. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 64

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

Chen, J., Saha, S., & Bansal, M. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 64

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

Chen, J., Prasad, A., Saha, S., Stengel-Eskin, E., & Bansal, M. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 38

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

Saha, S., Levy, O., Celikyilmaz, A., Bansal, M., Weston, J., & Li, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Bridging Offline and Online Reinforcement Learning for LLMs

Lanchantin, J., Chen, A., Lan, J., Li, X., Saha, S., Wang, T., Xu, J., Yu, P., Yuan, W., Weston, J. E., et al. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 0