Dan, Soham

15 publications

TMLR 2026 On Calibration of Multilingual Question Answering LLMs Yahan Yang, Soham Dan, Dan Roth, Insup Lee

TMLR 2025 Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis Kushal Raj Bhandari, Sixue Xing, Soham Dan, Jianxi Gao

TMLR 2025 Large Language Model Confidence Estimation via Black-Box Access Tejaswini Pedapati, Amit Dhurandhar, Soumya Ghosh, Soham Dan, Prasanna Sattigeri

ICLR 2025 Large Language Models Can Become Strong Self-Detoxifiers Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel

TMLR 2025 On the Utility of Existing Fine-Tuned Models on Data-Scarce Domains Md Ibrahim Ibne Alam, Parikshit Ram, Soham Dan, Horst Samulowitz, Koushik Kar

AAAI 2024 Generalized Planning in PDDL Domains with Pretrained Large Language Models Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz

ICML 2024 Larimar: Large Language Models with Episodic Memory Control Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurelie Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jiri Navratil, Soham Dan, Pin-Yu Chen

ICLR 2024 On the Generalization Capacity of Neural Networks During Generic Multimodal Reasoning Takuya Ito, Soham Dan, Mattia Rigotti, James Kozloski, Murray Campbell

AISTATS 2023 One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits Pierre Gaillard, Aadirupa Saha, Soham Dan

AISTATS 2023 Two-Sample Tests for Inhomogeneous Random Graphs in $L_r$ Norm: Optimality and Asymptotics Sayak Chatterjee, Dibyendu Saha, Soham Dan, Bhaswar B. Bhattacharya

CVPR 2022 Cross-Modal mAP Learning for Vision and Language Navigation Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis

ICML 2022 Understanding Robust Generalization in Learning Regular Languages Soham Dan, Osbert Bastani, Dan Roth

ECML-PKDD 2021 Learning from Noisy Similar and Dissimilar Data Soham Dan, Han Bao, Masashi Sugiyama

ECML-PKDD 2021 Variance Reduced Stochastic Proximal Algorithm for AUC Maximization Soham Dan, Dushyant Sahoo

ICML 2020 Goodness-of-Fit Tests for Inhomogeneous Random Graphs Soham Dan, Bhaswar B. Bhattacharya