Segmenting Highway Network Based on Speed Profiles. - Russel Aziz; Manav Kedia; Soham Dan; Sudeshna Sarkar; Sudeshna Mitra; Pabitra Mitra (ITSC, 2015)

Identifying and Characterizing Truck Stops from GPS Data. - Russel Aziz; Manav Kedia; Soham Dan; Sayantan Basu; Sudeshna Sarkar; Sudeshna Mitra; Pabitra Mitra (ICDM, 2016)

Which techniques does your application use?: An information extraction framework for scientific articles. - Soham Dan; Sanyam Agarwal; Mayank Singh 001; Pawan Goyal 002; Animesh Mukherjee 001 (CoRR, 2016)

Towards Problem Solving Agents that Communicate and Learn. - Anjali Narayan-Chen; Colin Graber; Mayukh Das; Md. Rakibul Islam 001; Soham Dan; Sriraam Natarajan; Janardhan Rao Doppa; Julia Hockenmaier; Martha Palmer; Dan Roth 001 (RoboNLP@ACL, 2017)

AppTechMiner: Mining Applications and Techniques from Scientific Articles. - Mayank Singh 001; Soham Dan; Sanyam Agarwal; Pawan Goyal 002; Animesh Mukherjee 001 (WOSP@JCDL, 2017)

A Locally Linear Procedure for Word Translation. - Soham Dan; Hagai Taitelbaum; Jacob Goldberger (COLING, 2020)

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

Understanding Spatial Relations through Multiple Modalities. - Soham Dan; Hangfeng He 001; Dan Roth 001 (LREC, 2020)

From Spatial Relations to Spatial Configurations. - Soham Dan; Parisa Kordjamshidi; Julia Bonn; Archna Bhatia; Zheng Cai; Martha Palmer; Dan Roth 001 (LREC, 2020)

From Spatial Relations to Spatial Configurations. - Soham Dan; Parisa Kordjamshidi; Julia Bonn; Archna Bhatia; Jon Z. Cai; Martha Palmer; Dan Roth 001 (CoRR, 2020)

Few-Shot Novel Concept Learning for Semantic Parsing. - Soham Dan; Osbert Bastani; Dan Roth 001 (EMNLP (Findings), 2021)

Compositional Data and Task Augmentation for Instruction Following. - Soham Dan; Xinran Han; Dan Roth 001 (EMNLP (Findings), 2021)

On the Effects of Transformer Size on In- and Out-of-Domain Calibration. - Soham Dan; Dan Roth 001 (EMNLP (Findings), 2021)

Generalization in Instruction Following Systems. - Soham Dan; Michael Zhou; Dan Roth 001 (NAACL-HLT, 2021)

Learning from Noisy Similar and Dissimilar Data. - Soham Dan; Han Bao 002; Masashi Sugiyama (ECML/PKDD (2), 2021)

Variance Reduced Stochastic Proximal Algorithm for AUC Maximization. - Soham Dan; Dushyant Sahoo (ECML/PKDD (3), 2021)

Investigating the locality of neural network training dynamics. - Soham Dan; Phanideep Gampa; Anirbit Mukherjee (CoRR, 2021)

Cross-modal Map Learning for Vision and Language Navigation. - Georgios Georgakis; Karl Schmeckpeper; Karan Wanchoo; Soham Dan; Eleni Miltsakaki; Dan Roth 001; Kostas Daniilidis (CVPR, 2022)

Understanding Robust Generalization in Learning Regular Languages. - Soham Dan; Osbert Bastani; Dan Roth 001 (ICML, 2022)

Human-guided Collaborative Problem Solving: A Natural Language based Framework. - Harsha Kokel; Mayukh Das; Md. Rakibul Islam 001; Julia Bonn; Jon Z. Cai; Soham Dan; Anjali Narayan-Chen; Prashant Jayannavar; Janardhan Rao Doppa; Julia Hockenmaier; Sriraam Natarajan; Martha Palmer; et al. (CoRR, 2022)

One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits. - Pierre Gaillard; Aadirupa Saha; Soham Dan (CoRR, 2022)

MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. - 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 001 (ACL (Findings), 2023)

In and Out-of-Domain Text Adversarial Robustness via Label Smoothing. - Yahan Yang; Soham Dan; Dan Roth 001; Insup Lee 001 (ACL (2), 2023)

Two-Sample Tests for Inhomogeneous Random Graphs in Lr Norm: Optimality and Asymptotics. - Sayak Chatterjee; Dibyendu Saha; Soham Dan; Bhaswar B. Bhattacharya (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)

Compositional Program Generation for Systematic Generalization. - Tim Klinger; Luke Liu; Soham Dan; Maxwell Crouse; Parikshit Ram; Alexander Gray 001 (CoRR, 2023)

Formally Specifying the High-Level Behavior of LLM-Based Agents. - Maxwell Crouse; Ibrahim Abdelaziz; Kinjal Basu 002; Soham Dan; Sadhana Kumaravel; Achille Fokoue; Pavan Kapanipathi; Luis A. Lastras (CoRR, 2023)

Understanding Calibration for Multilingual Question Answering Models. - Yahan Yang; Soham Dan; Dan Roth 001; Insup Lee 001 (CoRR, 2023)

Generalized Planning in PDDL Domains with Pretrained Large Language Models. - Tom Silver; Soham Dan; Kavitha Srinivas; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Michael Katz 001 (AAAI, 2024)

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. - Kinjal Basu 002; Ibrahim Abdelaziz; Subhajit Chaudhury; Soham Dan; Maxwell Crouse; Asim Munawar; Vernon Austel; Sadhana Kumaravel; Vinod Muthusamy; Pavan Kapanipathi; Luis A. Lastras (ACL (1), 2024)

NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models. - Amit Dhurandhar; Tejaswini Pedapati; Ronny Luss; Soham Dan; Aurélie C. Lozano; Payel Das; Georgios Kollias (ACL (Findings), 2024)

On the generalization capacity of neural networks during generic multimodal reasoning. - Takuya Ito; Soham Dan; Mattia Rigotti; James R. Kozloski; Murray Campbell (ICLR, 2024)

Larimar: Large Language Models with Episodic Memory Control. - Payel Das; Subhajit Chaudhury; Elliot Nelson; Igor Melnyk; Sarathkrishna Swaminathan; Sihui Dai; Aurélie C. Lozano; Georgios Kollias; Vijil Chenthamarakshan; Jirí Navrátil 001; Soham Dan; Pin-Yu Chen (ICML, 2024)

Language Guided Exploration for RL Agents in Text Environments. - Hitesh Golchha; Sahil Yerawar; Dhruvesh Patel; Soham Dan; Keerthiram Murugesan (NAACL-HLT (Findings), 2024)

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. - Kinjal Basu 002; Ibrahim Abdelaziz; Subhajit Chaudhury; Soham Dan; Maxwell Crouse; Asim Munawar; Sadhana Kumaravel; Vinod Muthusamy; Pavan Kapanipathi; Luis A. Lastras (CoRR, 2024)

Larimar: Large Language Models with Episodic Memory Control. - Payel Das; Subhajit Chaudhury; Elliot Nelson; Igor Melnyk; Sarath Swaminathan; Sihui Dai; Aurélie C. Lozano; Georgios Kollias; Vijil Chenthamarakshan; Jirí Navrátil 001; Soham Dan; Pin-Yu Chen (CoRR, 2024)

On the Robustness of Language Models for Tabular Question Answering. - Kushal Raj Bhandari; Sixue Xing; Soham Dan; Jianxi Gao (CoRR, 2024)

On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems. - Md. Ibrahim Ibne Alam; Parikshit Ram; Soham Dan; Horst Samulowitz; Koushik Kar (CoRR, 2024)

CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design. - Nafis Neehal; Bowen Wang; Shayom Debopadhaya; Soham Dan; Keerthiram Murugesan; Vibha Anand; Kristin P. Bennett (CoRR, 2024)

Needle in the Haystack for Memory Based Large Language Models. - Elliot Nelson; Georgios Kollias; Payel Das; Subhajit Chaudhury; Soham Dan (CoRR, 2024)

Large Language Models can be Strong Self-Detoxifiers. - Ching-Yun Ko; Pin-Yu Chen; Payel Das; Youssef Mroueh; Soham Dan; Georgios Kollias; Subhajit Chaudhury; Tejaswini Pedapati; Luca Daniel (CoRR, 2024)

Benchmarking LLM Guardrails in Handling Multilingual Toxicity. - Yahan Yang; Soham Dan; Dan Roth 001; Insup Lee 001 (CoRR, 2024)

NAVCON: A Cognitively Inspired and Linguistically Grounded Corpus for Vision and Language Navigation. - Karan Wanchoo; Xiaoye Zuo; Hannah Gonzalez; Soham Dan; Georgios Georgakis; Dan Roth 001; Kostas Daniilidis; Eleni Miltsakaki (CoRR, 2024)

On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning. - Maurício Gruppi; Soham Dan; Keerthiram Murugesan; Subhajit Chaudhury (COLING, 2025)

Are LLMs Ready for Practical Adoption for Assertion Generation? - Vaishnavi Pulavarthi; Deeksha Nandal; Soham Dan; Debjit Pal (DATE, 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 (ICLR, 2025)

Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models. - Amey Hengle; Prasoon Bajpai; Soham Dan; Tanmoy Chakraborty 002 (NAACL (Long Papers), 2025)

Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation. - Nafis Neehal; Bowen Wang; Shayom Debopadhaya; Corey Curran; Keerthiram Murugesan; Soham Dan; Vibha Anand; Kristin P. Bennett (NAACL (Findings), 2025)

AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation. - Vaishnavi Pulavarthi; Deeksha Nandal; Soham Dan; Debjit Pal (NAACL (Findings), 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 (Trans. Mach. Learn. Res., 2025)

Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis. - Kushal Raj Bhandari; Sixue Xing; Soham Dan; Jianxi Gao (Trans. Mach. Learn. Res., 2025)

Large Language Model Confidence Estimation via Black-Box Access. - Tejaswini Pedapati; Amit Dhurandhar; Soumya Ghosh; Soham Dan; Prasanna Sattigeri (Trans. Mach. Learn. Res., 2025)

IOLBENCH: Benchmarking LLMs on Linguistic Reasoning. - Satyam Goyal; Soham Dan (CoRR, 2025)

Few-shot Policy (de)composition in Conversational Question Answering. - Kyle Erwin; Guy Axelrod; Maria Chang 001; Achille Fokoue; Maxwell Crouse; Soham Dan; Tian Gao; Rosario Uceda-Sosa; Ndivhuwo Makondo; Naweed Khan; Alexander G. Gray (CoRR, 2025)

Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval and haystacks. - Amey Hengle; Prasoon Bajpai; Soham Dan; Tanmoy Chakraborty 002 (CoRR, 2025)

MR. Guard: Multilingual Reasoning Guardrail using Curriculum Learning. - Yahan Yang; Soham Dan; Shuo Li; Dan Roth 001; Insup Lee 001 (CoRR, 2025)

CRAFT: Training-Free Cascaded Retrieval for Tabular QA. - Adarsh Singh; Kushal Raj Bhandari; Jianxi Gao; Soham Dan; Vivek Gupta (CoRR, 2025)

Breaking mBad! Supervised Fine-tuning for Cross-Lingual Detoxification. - Himanshu Beniwal; Youngwoo Kim; Maarten Sap; Soham Dan; Thomas Hartvigsen (CoRR, 2025)