Varsha Kishore

According to our database, Varsha Kishore authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

Distribution-Aware Reward: Reinforcement Learning over Predictive Distributions for LLM Regression.

Jungsoo Park, Hyungjoo Chae, Ethan Mendes, Jay DeYoung, Varsha Kishore, Wei Xu, Alan Ritter

CoRR, May, 2026

DRACULA: Hunting for the Actions Users Want Deep Research Agents to Execute.

Nishant Balepur, Malachi Hamada, Varsha Kishore, Sergey Feldman, Amanpreet Singh, Pao Siangliulue, Joseph Chee Chang, Rachel Rudinger, Eunsol Choi, Jordan Lee Boyd-Graber, Doug Downey, Aakanksha Naik

CoRR, April, 2026

Improving Attributed Long-form Question Answering with Intent Awareness.

Xinran Zhao, Aakanksha Naik, Jay DeYoung, Joseph Chee Chang, Jena D. Hwang, Tongshuang Wu, Varsha Kishore

CoRR, March, 2026

Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users.

Nishant Balepur, Malachi Hamada, Varsha Kishore, Sergey Feldman, Amanpreet Singh, Pao Siangliulue, Joseph Chee Chang, Eunsol Choi, Jordan Lee Boyd-Graber, Aakanksha Naik

CoRR, March, 2026

Deep Research, Shallow Evaluation: A Case Study in Meta-Evaluation for Long-Form QA Benchmarks.

Jena D. Hwang, Varsha Kishore, Amanpreet Singh, Dany Haddad, Aakanksha Naik, Malachi Hamada, Jonathan Bragg, Mike D'Arcy, Daniel S. Weld, Lucy Lu Wang, Doug Downey, Sergey Feldman

CoRR, March, 2026

2025

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research.

Rulin Shao, Akari Asai, Shannon Zejiang Shen, Hamish Ivison, Varsha Kishore, Jingming Zhuo, Xinran Zhao, Molly Park, Samuel G. Finlayson, David A. Sontag, Tyler Murray, Sewon Min, Pradeep Dasigi, Luca Soldaini, Faeze Brahman, Wen-tau Yih, Tongshuang Wu, Luke Zettlemoyer, Yoon Kim, Hannaneh Hajishirzi, Pang Wei Koh

CoRR, November, 2025

AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite.

Jonathan Bragg, Mike D'Arcy, Nishant Balepur, Dan Bareket, Bhavana Dalvi, Sergey Feldman, Dany Haddad, Jena D. Hwang, Peter A. Jansen, Varsha Kishore, Bodhisattwa Prasad Majumder, Aakanksha Naik, Sigal Rahamimov, Kyle Richardson, Amanpreet Singh, Harshit Surana, Aryeh Tiktinsky, Rosni Vasu, Guy Wiener, Chloe Anastasiades, Stefan Candra, Jason Dunkelberger, Dan Emery, Rob Evans, Malachi Hamada, Regan Huff, Rodney Kinney, Matt Latzke, Jaron Lochner, Ruben Lozano-Aguilera, Cecile Nguyen, Smita Rao, Amber Tanaka, Brooke Vlahos, Peter Clark, Doug Downey, Yoav Goldberg, Ashish Sabharwal, Daniel S. Weld

CoRR, October, 2025

ReasonIR: Training Retrievers for Reasoning Tasks.

Rulin Shao, Rui Qiao, Varsha Kishore, Niklas Muennighoff, Xi Victoria Lin, Daniela Rus, Bryan Kian Hsiang Low, Sewon Min, Wen-tau Yih, Pang Wei Koh, Luke Zettlemoyer

CoRR, April, 2025

2024

Diffusion Guided Language Modeling.

Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q. Weinberger

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

2023

Correction with Backtracking Reduces Hallucination in Summarization.

Zhenzhen Liu, Chao Wan, Varsha Kishore, Jin Peng Zhou, Minmin Chen, Kilian Q. Weinberger

CoRR, 2023

Latent Diffusion for Language Generation.

Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

IncDSI: Incrementally Updatable Document Retrieval.

Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger

Proceedings of the International Conference on Machine Learning, 2023

Learning Iterative Neural Optimizers for Image Steganography.

Xiangyu Chen, Varsha Kishore, Kilian Q. Weinberger

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Fixed Neural Network Steganography: Train the images, not the network.

Varsha Kishore, Xiangyu Chen, Yan Wang, Boyi Li, Kilian Q. Weinberger

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

BERTScore: Evaluating Text Generation with BERT.

Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi

Proceedings of the 8th International Conference on Learning Representations, 2020