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Yapei Chang
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2020 – today
- 2025
[i11]Chau Minh Pham, Yapei Chang, Mohit Iyyer:
CLIPPER: Compression enables long-context synthetic data generation. CoRR abs/2502.14854 (2025)
[i10]Yixiao Song, Katherine Thai, Chau Minh Pham, Yapei Chang, Mazin Nadaf, Mohit Iyyer:
BEARCUBS: A benchmark for computer-using web agents. CoRR abs/2503.07919 (2025)
[i9]Yapei Chang, Yekyung Kim, Michael Krumdick, Amir Zadeh, Chuan Li, Chris Tanner, Mohit Iyyer:
BLEUBERI: BLEU is a surprisingly effective reward for instruction following. CoRR abs/2505.11080 (2025)
[i8]Zongxia Li, Yapei Chang, Yuhang Zhou, Xiyang Wu, Zichao Liang, Yoo Yeon Sung, Jordan Lee Boyd-Graber:
Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation. CoRR abs/2506.15068 (2025)
[i7]Roshita Bhonsle, Rishav Dutta, Sneha Vavilapalli, Harsh Seth, Abubakarr Jaye, Yapei Chang, Mukund Rungta, Emmanuel Aboah Boateng, Sadid Hasan, Ehi Nosakhare, Soundar Srinivasan:
Auto-Eval Judge: Towards a General Agentic Framework for Task Completion Evaluation. CoRR abs/2508.05508 (2025)
[i6]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:
Olmo 3. CoRR abs/2512.13961 (2025)- 2024
[c4]Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer:
PostMark: A Robust Blackbox Watermark for Large Language Models. EMNLP 2024: 8969-8987
[c3]Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer:
BooookScore: A systematic exploration of book-length summarization in the era of LLMs. ICLR 2024
[i5]Yekyung Kim, Yapei Chang, Marzena Karpinska, Aparna Garimella, Varun Manjunatha, Kyle Lo, Tanya Goyal, Mohit Iyyer:
FABLES: Evaluating faithfulness and content selection in book-length summarization. CoRR abs/2404.01261 (2024)
[i4]Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer:
PostMark: A Robust Blackbox Watermark for Large Language Models. CoRR abs/2406.14517 (2024)- 2023
[i3]Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer:
BooookScore: A systematic exploration of book-length summarization in the era of LLMs. CoRR abs/2310.00785 (2023)- 2022
[c2]Katherine Thai, Yapei Chang, Kalpesh Krishna, Mohit Iyyer:
RELiC: Retrieving Evidence for Literary Claims. ACL (1) 2022: 7500-7518
[c1]Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer:
RankGen: Improving Text Generation with Large Ranking Models. EMNLP 2022: 199-232
[i2]Katherine Thai, Yapei Chang, Kalpesh Krishna, Mohit Iyyer:
RELIC: Retrieving Evidence for Literary Claims. CoRR abs/2203.10053 (2022)
[i1]Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer:
RankGen: Improving Text Generation with Large Ranking Models. CoRR abs/2205.09726 (2022)
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