Varsha Kishore

18 papers A* 5Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Research, Shallow Evaluation: A Case Study in Meta-Evaluation for Long-Form QA Benchmarks. CoRR 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
2026	J	`jnl`	Improving Attributed Long-form Question Answering with Intent Awareness. CoRR Xinran Zhao, Aakanksha Naik, Jay DeYoung, Joseph Chee Chang, Jena D. Hwang, Tongshuang Wu, Varsha Kishore
2026	J	`jnl`	Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users. CoRR Nishant Balepur, Malachi Hamada, Varsha Kishore, Sergey Feldman, Amanpreet Singh, Pao Siangliulue, Joseph Chee Chang, Eunsol Choi, Jordan Lee Boyd-Graber, Aakanksha Naik
2025	J	`jnl`	AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite. CoRR 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
2025	J	`jnl`	DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research. CoRR 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
2025	J	`jnl`	ReasonIR: Training Retrievers for Reasoning Tasks. CoRR 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
2024	—	`conf`	Diffusion Guided Language Modeling. ACL (Findings) Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q. Weinberger
2024	J	`jnl`	Diffusion Guided Language Modeling. CoRR Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q. Weinberger
2023	J	`jnl`	Correction with Backtracking Reduces Hallucination in Summarization. CoRR Zhenzhen Liu, Chao Wan, Varsha Kishore, Jin Peng Zhou, Minmin Chen, Kilian Q. Weinberger
2023	A*	`conf`	IncDSI: Incrementally Updatable Document Retrieval. ICML Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger
2023	J	`jnl`	IncDSI: Incrementally Updatable Document Retrieval. CoRR Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger
2023	A*	`conf`	Latent Diffusion for Language Generation. NeurIPS Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger
2023	A*	`conf`	Learning Iterative Neural Optimizers for Image Steganography. ICLR Xiangyu Chen, Varsha Kishore, Kilian Q. Weinberger
2023	J	`jnl`	Learning Iterative Neural Optimizers for Image Steganography. CoRR Xiangyu Chen, Varsha Kishore, Kilian Q. Weinberger
2022	A*	`conf`	Fixed Neural Network Steganography: Train the images, not the network. ICLR Varsha Kishore, Xiangyu Chen, Yan Wang, Boyi Li, Kilian Q. Weinberger
2022	J	`jnl`	Latent Diffusion for Language Generation. CoRR Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger
2020	A*	`conf`	BERTScore: Evaluating Text Generation with BERT. ICLR Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi
2019	J	`jnl`	BERTScore: Evaluating Text Generation with BERT. CoRR Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi