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Dan, Soham

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22 papers 2017–2026

All Claims Are Equal, but Some Claims Are More Equal Than Others: Importance-Sensitive Factuality Evaluation of LLM Generations

Wanner, Miriam, Azzopardi, Leif, Thomas, Paul, Dan, Soham, Van Durme, Benjamin, Craswell, Nick
2026-01 Findings of the Association for Computational Linguistics: EMNLP 2026

Towards Problem Solving Agents that Communicate and Learn

Narayan-Chen, Anjali, Graber, Colin, Das, Mayukh, Islam, Md Rakibul, Dan, Soham, Natarajan, Sriraam
+4 more show fewer
Doppa, Janardhan Rao, Hockenmaier, Julia, Palmer, Martha, Roth, Dan
2017-01 Proceedings of the First Workshop on Language Grounding for Robotics

A Locally Linear Procedure for Word Translation

Dan, Soham, Taitelbaum, Hagai, Goldberger, Jacob
2020-01 Proceedings of the 28th International Conference on Computational Linguistics

From Spatial Relations to Spatial Configurations

Dan, Soham, Kordjamshidi, Parisa, Bonn, Julia, Bhatia, Archna, Cai, Jon, Palmer, Martha
+1 more show fewer
Roth, Dan
2020-01 Proceedings of the Twelfth Language Resources and Evaluation Conference

Understanding Spatial Relations through Multiple Modalities

Dan, Soham, He, Hangfeng, Roth, Dan
2020-01 Proceedings of the Twelfth Language Resources and Evaluation Conference

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

Dan, Soham, Roth, Dan
2021-01 Findings of the Association for Computational Linguistics: EMNLP 2021

Compositional Data and Task Augmentation for Instruction Following

Dan, Soham, Han, Xinran, Roth, Dan
2021-01 Findings of the Association for Computational Linguistics: EMNLP 2021

Few-Shot Novel Concept Learning for Semantic Parsing

Dan, Soham, Bastani, Osbert, Roth, Dan
2021-01 Findings of the Association for Computational Linguistics: EMNLP 2021

Generalization in Instruction Following Systems

Dan, Soham, Zhou, Michael, Roth, Dan
2021-01 Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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

Yang, Yahan, Dan, Soham, Roth, Dan, Lee, Insup
2023-01 Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types

Murugesan, Keerthiram, Swaminathan, Sarathkrishna, Dan, Soham, Chaudhury, Subhajit, Gunasekara, Chulaka, Crouse, Maxwell
+6 more show fewer
Mahajan, Diwakar, Abdelaziz, Ibrahim, Fokoue, Achille, Kapanipathi, Pavan, Roukos, Salim, Gray, Alexander
2023-01 Findings of the Association for Computational Linguistics: ACL 2023

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

Basu, Kinjal, Abdelaziz, Ibrahim, Chaudhury, Subhajit, Dan, Soham, Crouse, Maxwell, Munawar, Asim
+5 more show fewer
Austel, Vernon, Kumaravel, Sadhana, Muthusamy, Vinod, Kapanipathi, Pavan, Lastras, Luis
2024-01 Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models

Dhurandhar, Amit, Pedapati, Tejaswini, Luss, Ronny, Dan, Soham, Lozano, Aurelie, Das, Payel
+1 more show fewer
Kollias, Georgios
2024-01 Findings of the Association for Computational Linguistics: ACL 2024

Language Guided Exploration for RL Agents in Text Environments

Golchha, Hitesh, Yerawar, Sahil, Patel, Dhruvesh, Dan, Soham, Murugesan, Keerthiram
2024-01 Findings of the Association for Computational Linguistics: NAACL 2024

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

Gruppi, Mauricio, Dan, Soham, Murugesan, Keerthiram, Chaudhury, Subhajit
2025-01 Proceedings of the 31st International Conference on Computational Linguistics

MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety

Yang, Yahan, Dan, Soham, Li, Shuo, Roth, Dan, Lee, Insup
2025-01 Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

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

Pulavarthi, Vaishnavi, Nandal, Deeksha, Dan, Soham, Pal, Debjit
2025-01 Findings of the Association for Computational Linguistics: NAACL 2025

Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation

Neehal, Nafis, Wang, Bowen, Debopadhaya, Shayom, Curran, Corey, Murugesan, Keerthiram, Dan, Soham
+2 more show fewer
Anand, Vibha, Bennett, Kristin
2025-01 Findings of the Association for Computational Linguistics: NAACL 2025