RELiC: Retrieving Evidence for Literary Claims. - Katherine Thai; Yapei Chang; Kalpesh Krishna; Mohit Iyyer (ACL (1), 2022)

RankGen: Improving Text Generation with Large Ranking Models. - Kalpesh Krishna; Yapei Chang; John Wieting; Mohit Iyyer (EMNLP, 2022)

PostMark: A Robust Blackbox Watermark for Large Language Models. - Yapei Chang; Kalpesh Krishna; Amir Houmansadr; John Wieting; Mohit Iyyer (EMNLP, 2024)

BooookScore: A systematic exploration of book-length summarization in the era of LLMs. - Yapei Chang; Kyle Lo; Tanya Goyal; Mohit Iyyer (ICLR, 2024)

FABLES: Evaluating faithfulness and content selection in book-length summarization. - Yekyung Kim; Yapei Chang; Marzena Karpinska; Aparna Garimella; Varun Manjunatha; Kyle Lo; Tanya Goyal; Mohit Iyyer (CoRR, 2024)

CLIPPER: Compression enables long-context synthetic data generation. - Chau Minh Pham; Yapei Chang; Mohit Iyyer (CoRR, 2025)

BEARCUBS: A benchmark for computer-using web agents. - Yixiao Song; Katherine Thai; Chau Minh Pham; Yapei Chang; Mazin Nadaf; Mohit Iyyer (CoRR, 2025)

BLEUBERI: BLEU is a surprisingly effective reward for instruction following. - Yapei Chang; Yekyung Kim; Michael Krumdick; Amir Zadeh; Chuan Li; Chris Tanner; Mohit Iyyer (CoRR, 2025)

Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation. - Zongxia Li; Yapei Chang; Yuhang Zhou; Xiyang Wu; Zichao Liang; Yoo Yeon Sung; Jordan Lee Boyd-Graber (CoRR, 2025)