Soham Dan

According to our database, Soham Dan authored at least 46 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Benchmarking LLM Guardrails in Handling Multilingual Toxicity.

Yahan Yang, Soham Dan, Dan Roth, Insup Lee

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

Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models.

Amey Hengle, Prasoon Bajpai, Soham Dan, Tanmoy Chakraborty

CoRR, 2024

Needle in the Haystack for Memory Based Large Language Models.

Elliot Nelson, Georgios Kollias, Payel Das, Subhajit Chaudhury, Soham Dan

CoRR, 2024

AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation.

Vaishnavi Pulavarthi, Deeksha Nandal, Soham Dan, Debjit Pal

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

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

On the Robustness of Language Models for Tabular Question Answering.

Kushal Raj Bhandari, Sixue Xing, Soham Dan, Jianxi Gao

CoRR, 2024

Large Language Model Confidence Estimation via Black-Box Access.

Tejaswini Pedapati, Amit Dhurandhar, Soumya Ghosh, Soham Dan, Prasanna Sattigeri

CoRR, 2024

On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning.

Maurício Gruppi, Soham Dan, Keerthiram Murugesan, Subhajit Chaudhury

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, Soham Dan, Pin-Yu Chen

CoRR, 2024

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs.

Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras

CoRR, 2024

Language Guided Exploration for RL Agents in Text Environments.

Hitesh Golchha, Sahil Yerawar, Dhruvesh Patel, Soham Dan, Keerthiram Murugesan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 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, Soham Dan, Pin-Yu Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the generalization capacity of neural networks during generic multimodal reasoning.

Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Understanding Calibration for Multilingual Question Answering Models.

Yahan Yang, Soham Dan, Dan Roth, Insup Lee

CoRR, 2023

Formally Specifying the High-Level Behavior of LLM-Based Agents.

Maxwell Crouse, Ibrahim Abdelaziz, Kinjal Basu, Soham Dan, Sadhana Kumaravel, Achille Fokoue, Pavan Kapanipathi, Luis A. Lastras

CoRR, 2023

Compositional Program Generation for Systematic Generalization.

Tim Klinger, Luke Liu, Soham Dan, Maxwell Crouse, Parikshit Ram, Alexander Gray

CoRR, 2023

One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits.

Pierre Gaillard, Aadirupa Saha, Soham Dan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Two-Sample Tests for Inhomogeneous Random Graphs in L_r Norm: Optimality and Asymptotics.

Sayak Chatterjee, Dibyendu Saha, Soham Dan, Bhaswar B. Bhattacharya

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

In and Out-of-Domain Text Adversarial Robustness via Label Smoothing.

Yahan Yang, Soham Dan, Dan Roth, Insup Lee

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits.

Pierre Gaillard, Aadirupa Saha, Soham Dan

CoRR, 2022

Human-guided Collaborative Problem Solving: A Natural Language based Framework.

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

CoRR, 2022

Understanding Robust Generalization in Learning Regular Languages.

Soham Dan, Osbert Bastani, Dan Roth

Proceedings of the International Conference on Machine Learning, 2022

Cross-modal Map Learning for Vision and Language Navigation.

Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Investigating the locality of neural network training dynamics.

Soham Dan, Phanideep Gampa, Anirbit Mukherjee

CoRR, 2021

Variance Reduced Stochastic Proximal Algorithm for AUC Maximization.

Soham Dan, Dushyant Sahoo

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Learning from Noisy Similar and Dissimilar Data.

Soham Dan, Han Bao, Masashi Sugiyama

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Generalization in Instruction Following Systems.

Soham Dan, Michael Zhou, Dan Roth

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

On the Effects of Transformer Size on In- and Out-of-Domain Calibration.

Soham Dan, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Compositional Data and Task Augmentation for Instruction Following.

Soham Dan, Xinran Han, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Few-Shot Novel Concept Learning for Semantic Parsing.

Soham Dan, Osbert Bastani, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

From Spatial Relations to Spatial Configurations.

Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Jon Z. Cai, Martha Palmer, Dan Roth

CoRR, 2020

From Spatial Relations to Spatial Configurations.

Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Zheng Cai, Martha Palmer, Dan Roth

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Understanding Spatial Relations through Multiple Modalities.

Soham Dan, Hangfeng He, Dan Roth

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Goodness-of-Fit Tests for Inhomogeneous Random Graphs.

Soham Dan, Bhaswar B. Bhattacharya

Proceedings of the 37th International Conference on Machine Learning, 2020

A Locally Linear Procedure for Word Translation.

Soham Dan, Hagai Taitelbaum, Jacob Goldberger

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2017

AppTechMiner: Mining Applications and Techniques from Scientific Articles.

Mayank Singh, Soham Dan, Sanyam Agarwal, Pawan Goyal, Animesh Mukherjee

Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017

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

Proceedings of the First Workshop on Language Grounding for Robotics, 2017

2016

Which techniques does your application use?: An information extraction framework for scientific articles.

Soham Dan, Sanyam Agarwal, Mayank Singh, Pawan Goyal, Animesh Mukherjee

CoRR, 2016

Identifying and Characterizing Truck Stops from GPS Data.

Russel Aziz, Manav Kedia, Soham Dan, Sayantan Basu, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2016

2015

Segmenting Highway Network Based on Speed Profiles.

Russel Aziz, Manav Kedia, Soham Dan, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015