Publications

[Google Scholar] (* Equal Contribution)

Under Submission

• Understanding Calibration for Multilingual Question Answering Models
  Yahan Yang*, Soham Dan*, Dan Roth and Insup Lee.
• On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning
  Mauricio Gruppi, Soham Dan, Keerthiram Murugesan, Subhajit Chaudhury.
• NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
  Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurelie Lozano, Payel Das, Georgios Kollias.
• Larimar: Large Language Models with Episodic Memory Control
  Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarath Swaminathan, Sihui Dai, Aurélie Lozano, Georgios Kollias, Vijil Chenthamarakshan, Soham Dan, Pin-Yu Chen.
• 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 and Luis A. Lastras.
• Formally specifying the high-level behavior of LLM-based agents
  Maxwell Crouse, Ibrahim Abdelaziz, Kinjal Basu, Soham Dan, Sadhana Kumaravel, Achille Fokoue, Pavan Kapanipathi and Luis Lastras.
• Compositional generalization in Neuro-Symbolic Visual Question Answering
  Adam Dahlgren, Soham Dan and Tim Klinger.
• Compositional Program Generation for Few-Shot Systematic Generalization
  Tim Klinger, Luke Liu, Soham Dan, Maxwell Crouse, Parikshit Ram and Alexander Gray.
• Investigating the Locality of Neural Network Training Dynamics
  Soham Dan*, Phanideep Gampa and Anirbit Mukherjee*.

2024

• Language Guided Exploration for RL Agents in Text Environments
  Hitesh Golchha, Sahil Yerawar, Dhruvesh Patel, Soham Dan and Keerthiram Murugesan. Findings of NAACL 2024
• On the Generalization Capacity of Neural Networks During Generic Multimodal Reasoning
  Takuya Ito, Soham Dan, Mattia Rigotti, James Kozloski and Murray Campbell. ICLR 2024
• Generalized Planning in PDDL Domains with Pretrained Large Language Models
  Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B Tenenbaum, Leslie Pack Kaelbling and Michael Katz. AAAI 2024

2023

• In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
  Yahan Yang*, Soham Dan*, Dan Roth and Insup Lee. ACL 2023
• MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
  Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos and Alexander Gray. Findings of ACL 2023
• One Arrow, Two Kills: An 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 𝐿𝑟 norm: Optimality and Asymptotics
  Sayak Chatterjee, Dibyendu Saha, Soham Dan and Bhaswar B. Bhattacharya. AISTATS 2023

2022

• Understanding Robust Generalization in Learning Regular Languages
  Soham Dan, Osbert Bastani and Dan Roth. ICML 2022
• Cross-modal Map Learning for Vision and Language Navigation
  Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, and Kostas Daniilidis. CVPR 2022

2021

• Few-Shot Novel Concept Learning for Semantic Parsing
  Soham Dan, Osbert Bastani and Dan Roth. Findings of EMNLP 2021
• Compositional Data and Task Augmentation for Instruction Following
  Soham Dan*, Xinran Han* and Dan Roth. Findings of EMNLP 2021
• On the Effects of Transformer Size on In- and Out-of-Domain Calibration
  Soham Dan, Dan Roth. Findings of EMNLP 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*. ECML-PKDD 2021
• Generalization in Instruction Following Systems
  Soham Dan, Michael Zhou, Dan Roth. NAACL 2021.
• Human-guided Collaborative Problem Solving: A Natural Language based Framework
  Harsha Kokel, Mayukh Das, Rakibul Islam, Julia Bonn, Jon Cai, Soham Dan, Anjali Narayan-Chen, Prashant Jayannavar, Janardhan Doppa, Julia Hockenmaier, Sriraam Natarajan, Martha Palmer, and Dan Roth. ICAPS 2021 (demos)
• Proceedings of the First Workshop on Interactive Learning for Natural Language Processing
  Kiante Brantley, Soham Dan, Iryna Gurevych, Ji-Ung Lee, Filip Radlinski, Hinrich Schutze, Edwin Simpson, and Lili Yu. InterNLP Workshop @ ACL 2021.

2020

• 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.
• From Spatial Relations to Spatial Configurations
  Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Zheng Cai, Martha Palmer, Dan Roth. LREC 2020.
• Understanding Spatial Relations through Multiple Modalities
  Soham Dan, Hangfeng He, Dan Roth. LREC 2020.

2017

• AppTechMiner: Mining Applications and Techniques from Scientific Articles
  Mayank Singh*, Soham Dan*, Sanyam Agarwal*, Pawan Goyal, Animesh Mukherjee. WOSP 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

• Identifying and characterizing truck stops from GPS data
  Russel Aziz, Manav Kedia, Soham Dan, Sayantan Basu, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra. ICDM 2016.

2015

• Segmenting Highway Network Based on Speed Profiles
  Russel Aziz, Manav Kedia, Soham Dan, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra. IEEE ITSC 2015.

Patents

• Techniques for generating a psychographic profile
  Kokil Jaidka, Vamsi Krishna Bokam, Soham Dan, Atanu R. Sinha, Yogesh Singh.