Sayontan Ghosh

According to our database, Sayontan Ghosh authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

DIAMONDs: A Dataset for <i>D</i>ynamic <i>I</i>nformation <i>A</i>nd <i>M</i>ental modeling <i>O</i>f <i>N</i>umeric <i>D</i>iscussions.

Sayontan Ghosh, Mahnaz Koupaee, Yash Kumar Lal, Pegah Alipoormolabashi, Mohammad Saqib Hasan, Jun Seok Kang, Niranjan Balasubramanian

CoRR, May, 2025

2024

SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval.

Isidora Chara Tourni, Sayontan Ghosh, Brenda Miao, Constantijn van der Poel

CoRR, 2024

2023

<tt>PASTA</tt>: A Dataset for Modeling PArticipant STAtes in Narratives.

Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian

Trans. Assoc. Comput. Linguistics, 2023

SAGEViz: SchemA GEneration and Visualization.

Sugam Devare, Mahnaz Koupaee, Gautham Gunapati, Sayontan Ghosh, Sai Vallurupalli, Yash Kumar Lal, Francis Ferraro, Nathanael Chambers, Greg Durrett, Raymond J. Mooney, Katrin Erk, Niranjan Balasubramanian

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation.

Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian

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

2022

Distilling Knowledge from Language Models for Video-based Action Anticipation.

Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian

CoRR, 2022

PASTA: A Dataset for Modeling Participant States in Narratives.

Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian

CoRR, 2022

SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language Specifications.

Sayontan Ghosh, Amanpreet Singh, Alex Merenstein, Wei Su, Scott A. Smolka, Erez Zadok, Niranjan Balasubramanian

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events.

Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022