Soham Dan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Spatial Configurations

Top Venues

EMNLP (Findings)

Publications

Takuya Ito, Soham Dan, Mattia Rigotti, James Kozloski, Murray Campbell
On the generalization capacity of neural networks during generic multimodal reasoning. CoRR (2024)
Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell
On the generalization capacity of neural networks during generic multimodal reasoning. ICLR (2024)
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
Larimar: Large Language Models with Episodic Memory Control. CoRR (2024)
Md. Ibrahim Ibne Alam, Parikshit Ram, Soham Dan, Horst Samulowitz, Koushik Kar
On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems. CoRR (2024)
Hitesh Golchha, Sahil Yerawar, Dhruvesh Patel, Soham Dan, Keerthiram Murugesan
Language Guided Exploration for RL Agents in Text Environments. CoRR (2024)
Nafis Neehal, Bowen Wang, Shayom Debopadhaya, Soham Dan, Keerthiram Murugesan, Vibha Anand, Kristin P. Bennett
CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design. CoRR (2024)
Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. CoRR (2024)
Tejaswini Pedapati, Amit Dhurandhar, Soumya Ghosh, Soham Dan, Prasanna Sattigeri
Large Language Model Confidence Estimation via Black-Box Access. CoRR (2024)
Vaishnavi Pulavarthi, Deeksha Nandal, Soham Dan, Debjit Pal
AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation. CoRR (2024)
Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurélie C. Lozano, Payel Das, Georgios Kollias
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models. CoRR (2024)
Maurício Gruppi, Soham Dan, Keerthiram Murugesan, Subhajit Chaudhury
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning. CoRR (2024)
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
Generalized Planning in PDDL Domains with Pretrained Large Language Models. AAAI (2024)
Kushal Raj Bhandari, Sixue Xing, Soham Dan, Jianxi Gao
On the Robustness of Language Models for Tabular Question Answering. CoRR (2024)
Elliot Nelson, Georgios Kollias, Payel Das, Subhajit Chaudhury, Soham Dan
Needle in the Haystack for Memory Based Large Language Models. CoRR (2024)
Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurélie C. Lozano, Payel Das, Georgios Kollias
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models. ACL (Findings) (2024)
Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. ACL (1) (2024)
Yahan Yang, Soham Dan, Dan Roth, Insup Lee
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing. ACL (2) (2023)
Sayak Chatterjee, Dibyendu Saha, Soham Dan, Bhaswar B. Bhattacharya
Norm: Optimality and Asymptotics. AISTATS (2023)
Yahan Yang, Soham Dan, Dan Roth, Insup Lee
Understanding Calibration for Multilingual Question Answering Models. CoRR (2023)
Maxwell Crouse, Ibrahim Abdelaziz, Kinjal Basu, Soham Dan, Sadhana Kumaravel, Achille Fokoue, Pavan Kapanipathi, Luis A. Lastras
Formally Specifying the High-Level Behavior of LLM-Based Agents. CoRR (2023)
Tim Klinger, Luke Liu, Soham Dan, Maxwell Crouse, Parikshit Ram, Alexander Gray
Compositional Program Generation for Systematic Generalization. CoRR (2023)
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
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. CoRR (2023)
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
Generalized Planning in PDDL Domains with Pretrained Large Language Models. CoRR (2023)
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
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. ACL (Findings) (2023)
Pierre Gaillard, Aadirupa Saha, Soham Dan
One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits. AISTATS (2023)
Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis
Cross-modal Map Learning for Vision and Language Navigation. CoRR (2022)
Yahan Yang, Soham Dan, Dan Roth, Insup Lee
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing. CoRR (2022)
Harsha Kokel, Mayukh Das, Md Rakibul Islam, Julia Bonn, Jon Cai, Soham Dan, Anjali Narayan-Chen, Prashant Jayannavar, Janardhan Rao Doppa, Julia Hockenmaier, Sriraam Natarajan, Martha Palmer, Dan Roth
Human-guided Collaborative Problem Solving: A Natural Language based Framework. CoRR (2022)
Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis
Cross-modal Map Learning for Vision and Language Navigation. CVPR (2022)
Soham Dan, Osbert Bastani, Dan Roth
Understanding Robust Generalization in Learning Regular Languages. CoRR (2022)
Pierre Gaillard, Aadirupa Saha, Soham Dan
One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits. CoRR (2022)
Soham Dan, Osbert Bastani, Dan Roth
Understanding Robust Generalization in Learning Regular Languages. ICML (2022)
Soham Dan, Xinran Han, Dan Roth
Compositional Data and Task Augmentation for Instruction Following. EMNLP (Findings) (2021)
Soham Dan, Phanideep Gampa, Anirbit Mukherjee
Investigating the locality of neural network training dynamics. CoRR (2021)
Soham Dan, Han Bao, Masashi Sugiyama
Learning from Noisy Similar and Dissimilar Data. ECML/PKDD (2) (2021)
Soham Dan, Dan Roth
On the Effects of Transformer Size on In- and Out-of-Domain Calibration. EMNLP (Findings) (2021)
Soham Dan, Michael Zhou, Dan Roth
Generalization in Instruction Following Systems. NAACL-HLT (2021)
Soham Dan, Dushyant Sahoo
Variance Reduced Stochastic Proximal Algorithm for AUC Maximization. ECML/PKDD (3) (2021)
Soham Dan, Osbert Bastani, Dan Roth
Few-Shot Novel Concept Learning for Semantic Parsing. EMNLP (Findings) (2021)
Soham Dan, Bhaswar B. Bhattacharya
Goodness-of-Fit Tests for Inhomogeneous Random Graphs. ICML (2020)
Soham Dan, Hangfeng He, Dan Roth
Understanding Spatial Relations through Multiple Modalities. LREC (2020)
Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Jon Cai, Martha Palmer, Dan Roth
From Spatial Relations to Spatial Configurations. CoRR (2020)
Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Zheng Cai, Martha Palmer, Dan Roth
From Spatial Relations to Spatial Configurations. LREC (2020)
Soham Dan, Han Bao, Masashi Sugiyama
Learning from Noisy Similar and Dissimilar Data. CoRR (2020)
Soham Dan, Hagai Taitelbaum, Jacob Goldberger
A Locally Linear Procedure for Word Translation. COLING (2020)
Soham Dan, Hangfeng He, Dan Roth
Understanding Spatial Relations through Multiple Modalities. CoRR (2020)
Soham Dan, Dushyant Sahoo
Variance Reduced Stochastic Proximal Algorithm for AUC Maximization. CoRR (2019)
Mayank Singh, Soham Dan, Sanyam Agarwal, Pawan Goyal, Animesh Mukherjee
AppTechMiner: Mining Applications and Techniques from Scientific Articles. WOSP@JCDL (2017)
Sanyam Agarwal, Mayank Singh, Soham Dan, Pawan Goyal, Animesh Mukherjee
AppTechMiner: Mining Applications and Techniques from Scientific Articles. CoRR (2017)
Anjali Narayan-Chen, Colin Graber, Mayukh Das, Md Rakibul Islam, Soham Dan, Sriraam Natarajan, Janardhan Rao Doppa, Julia Hockenmaier, Martha Palmer, Dan Roth
Towards Problem Solving Agents that Communicate and Learn. RoboNLP@ACL (2017)
Soham Dan, Sanyam Agarwal, Mayank Singh, Pawan Goyal, Animesh Mukherjee
Which techniques does your application use?: An information extraction framework for scientific articles. CoRR (2016)
Russel Aziz, Manav Kedia, Soham Dan, Sayantan Basu, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra
Identifying and Characterizing Truck Stops from GPS Data. ICDM (2016)
Russel Aziz, Manav Kedia, Soham Dan, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra
Segmenting Highway Network Based on Speed Profiles. ITSC (2015)