Yapei Chang

16 papers A* 3Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
How2Everything: Mining the Web for How-To Procedures to Evaluate and Improve LLMs.
CoRR
Yapei Chang, Kyle Lo, Mohit Iyyer, Luca Soldaini
2025 J jnl
Auto-Eval Judge: Towards a General Agentic Framework for Task Completion Evaluation.
CoRR
Roshita Bhonsle, Rishav Dutta, Sneha Vavilapalli, Harsh Seth, Abubakarr Jaye, Yapei Chang, Mukund Rungta, Emmanuel Aboah Boateng, Sadid Hasan, Ehi Nosakhare, Soundar Srinivasan
2025 J jnl
BEARCUBS: A benchmark for computer-using web agents.
CoRR
Yixiao Song, Katherine Thai, Chau Minh Pham, Yapei Chang, Mazin Nadaf, Mohit Iyyer
2025 J jnl
BLEUBERI: BLEU is a surprisingly effective reward for instruction following.
CoRR
Yapei Chang, Yekyung Kim, Michael Krumdick, Amir Zadeh, Chuan Li, Chris Tanner, Mohit Iyyer
2025 J jnl
CLIPPER: Compression enables long-context synthetic data generation.
CoRR
Chau Minh Pham, Yapei Chang, Mohit Iyyer
2025 J jnl
Olmo 3.
CoRR
Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, David Graham, David Heineman, Dirk Groeneveld, Faeze Brahman, Finbarr Timbers, Hamish Ivison, Jacob Morrison, Jake Poznanski, Kyle Lo, Luca Soldaini, Matt Jordan, Mayee F. Chen, Michael Noukhovitch, Nathan Lambert, Pete Walsh, Pradeep Dasigi, Robert Berry, Saumya Malik, Saurabh Shah, Scott Geng, Shane Arora, Shashank Gupta, Taira Anderson, Teng Xiao, Tyler Murray, Tyler Romero, Victoria Graf, Akari Asai, Akshita Bhagia, Alexander Wettig, Alisa Liu, Aman Rangapur, Chloe Anastasiades, Costa Huang, Dustin Schwenk, Harsh Trivedi, Ian Magnusson, Jaron Lochner, Jiacheng Liu, Lester James V. Miranda, Maarten Sap, Malia Morgan, Michael Schmitz, Michal Guerquin, Michael Wilson, Regan Huff, Ronan Le Bras, Rui Xin, Rulin Shao, Sam Skjonsberg, Shannon Zejiang Shen, Shuyue Stella Li, Tucker Wilde, Valentina Pyatkin, William Merrill, Yapei Chang, Yuling Gu, Zhiyuan Zeng, Ashish Sabharwal, Luke Zettlemoyer, Pang Wei Koh, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi
2025 J jnl
Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation.
CoRR
Zongxia Li, Yapei Chang, Yuhang Zhou, Xiyang Wu, Zichao Liang, Yoo Yeon Sung, Jordan Lee Boyd-Graber
2024 A* conf
BooookScore: A systematic exploration of book-length summarization in the era of LLMs.
ICLR
Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer
2024 J jnl
FABLES: Evaluating faithfulness and content selection in book-length summarization.
CoRR
Yekyung Kim, Yapei Chang, Marzena Karpinska, Aparna Garimella, Varun Manjunatha, Kyle Lo, Tanya Goyal, Mohit Iyyer
2024 A* conf
PostMark: A Robust Blackbox Watermark for Large Language Models.
EMNLP
Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer
2024 J jnl
PostMark: A Robust Blackbox Watermark for Large Language Models.
CoRR
Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer
2023 J jnl
BooookScore: A systematic exploration of book-length summarization in the era of LLMs.
CoRR
Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer
2022 J jnl
RELIC: Retrieving Evidence for Literary Claims.
CoRR
Katherine Thai, Yapei Chang, Kalpesh Krishna, Mohit Iyyer
2022 — conf
RELiC: Retrieving Evidence for Literary Claims.
ACL (1)
Katherine Thai, Yapei Chang, Kalpesh Krishna, Mohit Iyyer
2022 A* conf
RankGen: Improving Text Generation with Large Ranking Models.
EMNLP
Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer
2022 J jnl
RankGen: Improving Text Generation with Large Ranking Models.
CoRR
Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer