Soham Dan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
12
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | A Survey of Toxicity Mitigation Strategies for Multilingual Language Models. | Soham Dan, Himanshu Beniwal, Thomas Hartvigsen |
| 2026 | ACL | CRAFT: Training-Free Cascaded Retrieval for Tabular QA. | Adarsh Singh, Kushal Raj Bhandari, Jianxi Gao, Soham Dan, Vivek Gupta |
| 2026 | EACL | Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval over haystacks. | Amey Hengle, Prasoon Bajpai, Soham Dan, Tanmoy Chakraborty |
| 2025 | COLING | On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning. | Maurcio Gruppi, Soham Dan, Keerthiram Murugesan, Subhajit Chaudhury |
| 2025 | DATE | Are LLMs Ready for Practical Adoption for Assertion Generation? | Vaishnavi Pulavarthi, Deeksha Nandal, Soham Dan, Debjit Pal |
| 2025 | EMNLP | MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety. | Yahan Yang, Soham Dan, Shuo Li, Dan Roth, Insup Lee |
| 2025 | ICLR | 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 |
| 2025 | NAACL | Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models. | Amey Hengle, Prasoon Bajpai, Soham Dan, Tanmoy Chakraborty |
| 2025 | NAACL | 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 |
| 2025 | NAACL | AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation. | Vaishnavi Pulavarthi, Deeksha Nandal, Soham Dan, Debjit Pal |
| 2024 | AAAI | Generalized Planning in PDDL Domains with Pretrained Large Language Models. | Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz |
| 2024 | ACL | API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. | Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras |
| 2024 | ACL | NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models. | Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurlie C. Lozano, Payel Das, Georgios Kollias |
| 2024 | ICLR | On the generalization capacity of neural networks during generic multimodal reasoning. | Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell |
| 2024 | ICML | Larimar: Large Language Models with Episodic Memory Control. | Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurlie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jir Navrtil, Soham Dan, Pin-Yu Chen |
| 2024 | NAACL | Language Guided Exploration for RL Agents in Text Environments. | Hitesh Golchha, Sahil Yerawar, Dhruvesh Patel, Soham Dan, Keerthiram Murugesan |
| 2023 | ACL | 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 |
| 2023 | ACL | In and Out-of-Domain Text Adversarial Robustness via Label Smoothing. | Yahan Yang, Soham Dan, Dan Roth, Insup Lee |
| 2023 | AISTATS | Two-Sample Tests for Inhomogeneous Random Graphs in L | Sayak Chatterjee, Dibyendu Saha, Soham Dan, Bhaswar B. Bhattacharya |
| 2023 | AISTATS | One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits. | Pierre Gaillard, Aadirupa Saha, Soham Dan |
| 2022 | CVPR | Cross-modal Map Learning for Vision and Language Navigation. | Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis |
| 2022 | ICML | Understanding Robust Generalization in Learning Regular Languages. | Soham Dan, Osbert Bastani, Dan Roth |
| 2021 | EMNLP | Few-Shot Novel Concept Learning for Semantic Parsing. | Soham Dan, Osbert Bastani, Dan Roth |
| 2021 | EMNLP | Compositional Data and Task Augmentation for Instruction Following. | Soham Dan, Xinran Han, Dan Roth |
| 2021 | EMNLP | On the Effects of Transformer Size on In- and Out-of-Domain Calibration. | Soham Dan, Dan Roth |
| 2021 | NAACL | Generalization in Instruction Following Systems. | Soham Dan, Michael Zhou, Dan Roth |
| 2020 | COLING | A Locally Linear Procedure for Word Translation. | Soham Dan, Hagai Taitelbaum, Jacob Goldberger |
| 2020 | ICML | Goodness-of-Fit Tests for Inhomogeneous Random Graphs. | Soham Dan, Bhaswar B. Bhattacharya |
| 2020 | LREC | Understanding Spatial Relations through Multiple Modalities. | Soham Dan, Hangfeng He, Dan Roth |
| 2020 | LREC | From Spatial Relations to Spatial Configurations. | Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Zheng Cai, Martha Palmer, Dan Roth |
| 2017 | ACL | Towards Problem Solving Agents that Communicate and Learn. | Anjali Narayan-Chen, Colin Graber, Mayukh Das, Md. Rakibul Islam, Soham Dan, Sriraam Natarajan, Janardhan Rao Doppa, Julia Hockenmaier, Martha Palmer, Dan Roth |