Soham Dan

81 papers A* 9A 3B 4Journal 47Unranked 18
YearRankTypeTitle / Venue / Authors
2026 — conf
Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval over haystacks.
EACL (Volume 1: Long Papers)
Amey Hengle, Prasoon Bajpai, Soham Dan, Tanmoy Chakraborty
2026 J jnl
LAUDE: LLM-Assisted Unit Test Generation and Debugging of Hardware DEsigns.
CoRR
Deeksha Nandal, Riccardo Revalor, Soham Dan, Debjit Pal
2026 J jnl
On Calibration of Multilingual Question Answering LLMs.
Trans. Mach. Learn. Res.
Yahan Yang, Soham Dan, Dan Roth, Insup Lee
2025 J jnl
All Claims Are Equal, but Some Claims Are More Equal Than Others: Importance-Sensitive Factuality Evaluation of LLM Generations.
CoRR
Miriam Wanner, Leif Azzopardi, Paul Thomas, Soham Dan, Benjamin Van Durme, Nick Craswell
2025 A conf
Are LLMs Ready for Practical Adoption for Assertion Generation?
DATE
Vaishnavi Pulavarthi, Deeksha Nandal, Soham Dan, Debjit Pal
2025 J jnl
Are LLMs Ready for Practical Adoption for Assertion Generation?
CoRR
Vaishnavi Pulavarthi, Deeksha Nandal, Soham Dan, Debjit Pal
2025 — conf
Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation.
NAACL (Findings)
Nafis Neehal, Bowen Wang, Shayom Debopadhaya, Corey Curran, Keerthiram Murugesan, Soham Dan, Vibha Anand, Kristin P. Bennett
2025 — conf
AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation.
NAACL (Findings)
Vaishnavi Pulavarthi, Deeksha Nandal, Soham Dan, Debjit Pal
2025 J jnl
Breaking mBad! Supervised Fine-tuning for Cross-Lingual Detoxification.
CoRR
Himanshu Beniwal, Youngwoo Kim, Maarten Sap, Soham Dan, Thomas Hartvigsen
2025 J jnl
CRAFT: Training-Free Cascaded Retrieval for Tabular QA.
CoRR
Adarsh Singh, Kushal Raj Bhandari, Jianxi Gao, Soham Dan, Vivek Gupta
2025 J jnl
Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval and haystacks.
CoRR
Amey Hengle, Prasoon Bajpai, Soham Dan, Tanmoy Chakraborty
2025 J jnl
Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis.
Trans. Mach. Learn. Res.
Kushal Raj Bhandari, Sixue Xing, Soham Dan, Jianxi Gao
2025 J jnl
Few-shot Policy (de)composition in Conversational Question Answering.
CoRR
Kyle Erwin, Guy Axelrod, Maria Chang, Achille Fokoue, Maxwell Crouse, Soham Dan, Tian Gao, Rosario Uceda-Sosa, Ndivhuwo Makondo, Naweed Khan, Alexander G. Gray
2025 J jnl
IOLBENCH: Benchmarking LLMs on Linguistic Reasoning.
CoRR
Satyam Goyal, Soham Dan
2025 J jnl
Large Language Model Confidence Estimation via Black-Box Access.
Trans. Mach. Learn. Res.
Tejaswini Pedapati, Amit Dhurandhar, Soumya Ghosh, Soham Dan, Prasanna Sattigeri
2025 A* conf
Large Language Models can Become Strong Self-Detoxifiers.
ICLR
Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2025 J jnl
MR. Guard: Multilingual Reasoning Guardrail using Curriculum Learning.
CoRR
Yahan Yang, Soham Dan, Shuo Li, Dan Roth, Insup Lee
2025 J jnl
Mitigating Modality Imbalance in Multi-modal Learning via Multi-objective Optimization.
CoRR
Heshan Devaka Fernando, Parikshit Ram, Yi Zhou, Soham Dan, Horst Samulowitz, Nathalie Baracaldo, Tianyi Chen
2025 A* conf
MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety.
EMNLP
Yahan Yang, Soham Dan, Shuo Li, Dan Roth, Insup Lee
2025 — conf
Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models.
NAACL (Long Papers)
Amey Hengle, Prasoon Bajpai, Soham Dan, Tanmoy Chakraborty
2025 B conf
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning.
COLING
Maurício Gruppi, Soham Dan, Keerthiram Murugesan, Subhajit Chaudhury
2025 J jnl
On the Utility of Existing Fine-Tuned Models on Data-Scarce Domains.
Trans. Mach. Learn. Res.
Md. Ibrahim Ibne Alam, Parikshit Ram, Soham Dan, Horst Samulowitz, Koushik Kar
2024 — conf
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs.
ACL (1)
Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
2024 J jnl
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs.
CoRR
Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
2024 J jnl
AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation.
CoRR
Vaishnavi Pulavarthi, Deeksha Nandal, Soham Dan, Debjit Pal
2024 J jnl
Benchmarking LLM Guardrails in Handling Multilingual Toxicity.
CoRR
Yahan Yang, Soham Dan, Dan Roth, Insup Lee
2024 J jnl
CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design.
CoRR
Nafis Neehal, Bowen Wang, Shayom Debopadhaya, Soham Dan, Keerthiram Murugesan, Vibha Anand, Kristin P. Bennett
2024 A* conf
Generalized Planning in PDDL Domains with Pretrained Large Language Models.
AAAI
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
2024 — conf
Language Guided Exploration for RL Agents in Text Environments.
NAACL-HLT (Findings)
Hitesh Golchha, Sahil Yerawar, Dhruvesh Patel, Soham Dan, Keerthiram Murugesan
2024 J jnl
Language Guided Exploration for RL Agents in Text Environments.
CoRR
Hitesh Golchha, Sahil Yerawar, Dhruvesh Patel, Soham Dan, Keerthiram Murugesan
2024 J jnl
Large Language Model Confidence Estimation via Black-Box Access.
CoRR
Tejaswini Pedapati, Amit Dhurandhar, Soumya Ghosh, Soham Dan, Prasanna Sattigeri
2024 J jnl
Large Language Models can be Strong Self-Detoxifiers.
CoRR
Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2024 A* conf
Larimar: Large Language Models with Episodic Memory Control.
ICML
Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen
2024 J jnl
Larimar: Large Language Models with Episodic Memory Control.
CoRR
Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarath Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen
2024 J jnl
Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models.
CoRR
Amey Hengle, Prasoon Bajpai, Soham Dan, Tanmoy Chakraborty
2024 J jnl
NAVCON: A Cognitively Inspired and Linguistically Grounded Corpus for Vision and Language Navigation.
CoRR
Karan Wanchoo, Xiaoye Zuo, Hannah Gonzalez, Soham Dan, Georgios Georgakis, Dan Roth, Kostas Daniilidis, Eleni Miltsakaki
2024 J jnl
Needle in the Haystack for Memory Based Large Language Models.
CoRR
Elliot Nelson, Georgios Kollias, Payel Das, Subhajit Chaudhury, Soham Dan
2024 — conf
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models.
ACL (Findings)
Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurélie C. Lozano, Payel Das, Georgios Kollias
2024 J jnl
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models.
CoRR
Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurélie C. Lozano, Payel Das, Georgios Kollias
2024 J jnl
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning.
CoRR
Maurício Gruppi, Soham Dan, Keerthiram Murugesan, Subhajit Chaudhury
2024 J jnl
On the Robustness of Language Models for Tabular Question Answering.
CoRR
Kushal Raj Bhandari, Sixue Xing, Soham Dan, Jianxi Gao
2024 J jnl
On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems.
CoRR
Md. Ibrahim Ibne Alam, Parikshit Ram, Soham Dan, Horst Samulowitz, Koushik Kar
2024 A* conf
On the generalization capacity of neural networks during generic multimodal reasoning.
ICLR
Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell
2024 J jnl
On the generalization capacity of neural networks during generic multimodal reasoning.
CoRR
Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell
2023 J jnl
Compositional Program Generation for Systematic Generalization.
CoRR
Tim Klinger, Luke Liu, Soham Dan, Maxwell Crouse, Parikshit Ram, Alexander Gray
2023 J jnl
Formally Specifying the High-Level Behavior of LLM-Based Agents.
CoRR
Maxwell Crouse, Ibrahim Abdelaziz, Kinjal Basu, Soham Dan, Sadhana Kumaravel, Achille Fokoue, Pavan Kapanipathi, Luis A. Lastras
2023 J jnl
Generalized Planning in PDDL Domains with Pretrained Large Language Models.
CoRR
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
2023 — conf
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing.
ACL (2)
Yahan Yang, Soham Dan, Dan Roth, Insup Lee
2023 — conf
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types.
ACL (Findings)
Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray
2023 J jnl
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types.
CoRR
Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray
2023 A conf
One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits.
AISTATS
Pierre Gaillard, Aadirupa Saha, Soham Dan
2023 A conf
Two-Sample Tests for Inhomogeneous Random Graphs in L
AISTATS
Sayak Chatterjee, Dibyendu Saha, Soham Dan, Bhaswar B. Bhattacharya
2023 J jnl
Understanding Calibration for Multilingual Question Answering Models.
CoRR
Yahan Yang, Soham Dan, Dan Roth, Insup Lee
2022 A* conf
Cross-modal Map Learning for Vision and Language Navigation.
CVPR
Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis
2022 J jnl
Cross-modal Map Learning for Vision and Language Navigation.
CoRR
Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis
2022 J jnl
Human-guided Collaborative Problem Solving: A Natural Language based Framework.
CoRR
Harsha Kokel, Mayukh Das, Md. Rakibul Islam, Julia Bonn, Jon Z. Cai, Soham Dan, Anjali Narayan-Chen, Prashant Jayannavar, Janardhan Rao Doppa, Julia Hockenmaier, Sriraam Natarajan, Martha Palmer, Dan Roth
2022 J jnl
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing.
CoRR
Yahan Yang, Soham Dan, Dan Roth, Insup Lee
2022 J jnl
One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits.
CoRR
Pierre Gaillard, Aadirupa Saha, Soham Dan
2022 A* conf
Understanding Robust Generalization in Learning Regular Languages.
ICML
Soham Dan, Osbert Bastani, Dan Roth
2022 J jnl
Understanding Robust Generalization in Learning Regular Languages.
CoRR
Soham Dan, Osbert Bastani, Dan Roth
2021 — conf
Compositional Data and Task Augmentation for Instruction Following.
EMNLP (Findings)
Soham Dan, Xinran Han, Dan Roth
2021 — conf
Few-Shot Novel Concept Learning for Semantic Parsing.
EMNLP (Findings)
Soham Dan, Osbert Bastani, Dan Roth
2021 — conf
Generalization in Instruction Following Systems.
NAACL-HLT
Soham Dan, Michael Zhou, Dan Roth
2021 J jnl
Investigating the locality of neural network training dynamics.
CoRR
Soham Dan, Phanideep Gampa, Anirbit Mukherjee
2021 — conf
Learning from Noisy Similar and Dissimilar Data.
ECML/PKDD (2)
Soham Dan, Han Bao, Masashi Sugiyama
2021 — conf
On the Effects of Transformer Size on In- and Out-of-Domain Calibration.
EMNLP (Findings)
Soham Dan, Dan Roth
2021 — conf
Variance Reduced Stochastic Proximal Algorithm for AUC Maximization.
ECML/PKDD (3)
Soham Dan, Dushyant Sahoo
2020 B conf
A Locally Linear Procedure for Word Translation.
COLING
Soham Dan, Hagai Taitelbaum, Jacob Goldberger
2020 B conf
From Spatial Relations to Spatial Configurations.
LREC
Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Zheng Cai, Martha Palmer, Dan Roth
2020 J jnl
From Spatial Relations to Spatial Configurations.
CoRR
Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Jon Z. Cai, Martha Palmer, Dan Roth
2020 A* conf
Goodness-of-Fit Tests for Inhomogeneous Random Graphs.
ICML
Soham Dan, Bhaswar B. Bhattacharya
2020 J jnl
Learning from Noisy Similar and Dissimilar Data.
CoRR
Soham Dan, Han Bao, Masashi Sugiyama
2020 B conf
Understanding Spatial Relations through Multiple Modalities.
LREC
Soham Dan, Hangfeng He, Dan Roth
2020 J jnl
Understanding Spatial Relations through Multiple Modalities.
CoRR
Soham Dan, Hangfeng He, Dan Roth
2019 J jnl
Variance Reduced Stochastic Proximal Algorithm for AUC Maximization.
CoRR
Soham Dan, Dushyant Sahoo
2017 — conf
AppTechMiner: Mining Applications and Techniques from Scientific Articles.
WOSP@JCDL
Mayank Singh, Soham Dan, Sanyam Agarwal, Pawan Goyal, Animesh Mukherjee
2017 J jnl
AppTechMiner: Mining Applications and Techniques from Scientific Articles.
CoRR
Sanyam Agarwal, Mayank Singh, Soham Dan, Pawan Goyal, Animesh Mukherjee
2017 — conf
Towards Problem Solving Agents that Communicate and Learn.
RoboNLP@ACL
Anjali Narayan-Chen, Colin Graber, Mayukh Das, Md. Rakibul Islam, Soham Dan, Sriraam Natarajan, Janardhan Rao Doppa, Julia Hockenmaier, Martha Palmer, Dan Roth
2016 A* conf
Identifying and Characterizing Truck Stops from GPS Data.
ICDM
Russel Aziz, Manav Kedia, Soham Dan, Sayantan Basu, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra
2016 J jnl
Which techniques does your application use?: An information extraction framework for scientific articles.
CoRR
Soham Dan, Sanyam Agarwal, Mayank Singh, Pawan Goyal, Animesh Mukherjee
2015 — conf
Segmenting Highway Network Based on Speed Profiles.
ITSC
Russel Aziz, Manav Kedia, Soham Dan, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra