POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events. - Sai Vallurupalli; Sayontan Ghosh; Katrin Erk; Niranjan Balasubramanian; Francis Ferraro (EMNLP, 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 (LREC, 2022)

PASTA: A Dataset for Modeling Participant States in Narratives. - Sayontan Ghosh; Mahnaz Koupaee; Isabella Chen; Francis Ferraro; Nathanael Chambers; Niranjan Balasubramanian (CoRR, 2022)

Distilling Knowledge from Language Models for Video-based Action Anticipation. - Sayontan Ghosh; Tanvi Aggarwal; Minh Hoai; Niranjan Balasubramanian (CoRR, 2022)

Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation. - Sayontan Ghosh; Tanvi Aggarwal; Minh Hoai; Niranjan Balasubramanian (EACL (Findings), 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 (EMNLP (Demos), 2023)

PASTA: 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)

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)

DIAMONDs: A Dataset for Dynamic Information And Mental modeling Of Numeric Discussions. - Sayontan Ghosh; Mahnaz Koupaee; Yash Kumar Lal; Pegah Alipoormolabashi; Mohammad Saqib Hasan; Jun Seok Kang; Niranjan Balasubramanian (CoRR, 2025)