Anisha Gunjal

According to our database, Anisha Gunjal authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Reward Hacking in Rubric-Based Reinforcement Learning.

Anas Mahmoud, MohammadHossein Rezaei, Zihao Wang, Anisha Gunjal, Bing Liu, Yunzhong He

CoRR, May, 2026

Agentic Rubrics as Contextual Verifiers for SWE Agents.

Mohit Raghavendra, Anisha Gunjal, Bing Liu, Yunzhong He

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning.

Afra Feyza Akyürek, Advait Gosai, Chen Bo Calvin Zhang, Vipul Gupta, Jaehwan Jeong, Anisha Gunjal, Tahseen Rabbani, Maria Mazzone, David Randolph IV, Mohammad Mahmoudi Meymand, Gurshaan Chattha, Paula Rodriguez, Diego A Mares Buendia, Pavit Singh, Michael Liu, Subodh Chawla, Peter Cline, Lucy Ogaz, Ernesto Gabriel Hernández Montoya, Zihao Wang, Pavi Bhatter, Marcos Ayestaran, Bing Liu, Yunzhong He

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning.

Afra Feyza Akyürek, Advait Gosai, Chen Bo Calvin Zhang, Vipul Gupta, Jaehwan Jeong, Anisha Gunjal, Tahseen Rabbani, Maria Mazzone, David Randolph IV, Mohammad Mahmoudi Meymand, Gurshaan Chattha, Paula Rodriguez, Diego Mares, Pavit Singh, Michael Liu, Subodh Chawla, Peter Cline, Lucy Ogaz, Ernesto Hernandez, Zihao Wang, Pavi Bhatter, Marcos Ayestaran, Bing Liu, Yunzhong He

CoRR, November, 2025

TutorBench: A Benchmark To Assess Tutoring Capabilities Of Large Language Models.

Rakshith S. Srinivasa, Zora Che, Chen Bo Calvin Zhang, Diego Mares, Ernesto Hernandez, Jayeon Park, Dean Lee, Guillermo Mangialardi, Charmaine Ng, Ed-Yeremai Hernandez-Cardona, Anisha Gunjal, Yunzhong He, Bing Liu, Chen Xing

CoRR, October, 2025

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.

Anisha Gunjal, Anthony Wang, Elaine Lau, Vaskar Nath, Bing Liu, Sean Hendryx

CoRR, July, 2025

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models.

Vaskar Nath, Elaine Lau, Anisha Gunjal, Manasi Sharma, Nikhil Baharte, Sean Hendryx

CoRR, June, 2025

2024

Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification.

Anisha Gunjal, Greg Durrett

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Detecting and Preventing Hallucinations in Large Vision Language Models.

Anisha Gunjal, Jihan Yin, Erhan Bas

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Drafting Event Schemas using Language Models.

Anisha Gunjal, Greg Durrett

CoRR, 2023

2022

Task-Induced Representation Learning.

Jun Yamada, Karl Pertsch, Anisha Gunjal, Joseph J. Lim

Proceedings of the Tenth International Conference on Learning Representations, 2022