k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text. - Abe Bohan Hou; Jingyu Zhang; Yichen Wang; Daniel Khashabi; Tianxing He (ACL (Findings), 2024)

Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. - Yichen Wang 002; Shangbin Feng; Abe Bohan Hou; Xiao Pu 003; Chao Shen 001; Xiaoming Liu 001; Yulia Tsvetkov; Tianxing He (ACL (1), 2024)

SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. - Abe Bohan Hou; Jingyu Zhang; Tianxing He; Yichen Wang 002; Yung-Sung Chuang; Hongwei Wang; Lingfeng Shen; Benjamin Van Durme; Daniel Khashabi; Yulia Tsvetkov (NAACL-HLT, 2024)

CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation. - Abe Bohan Hou; Orion Weller; Guanghui Qin; Eugene Yang; Dawn J. Lawrie; Nils Holzenberger; Andrew Blair-Stanek; Benjamin Van Durme (CoRR, 2024)

Gaps or Hallucinations? Gazing into Machine-Generated Legal Analysis for Fine-grained Text Evaluations. - Abe Bohan Hou; William Jurayj; Nils Holzenberger; Andrew Blair-Stanek; Benjamin Van Durme (CoRR, 2024)

CLERC: A Dataset for U. S. Legal Case Retrieval and Retrieval-Augmented Analysis Generation. - Abe Bohan Hou; Orion Weller; Guanghui Qin; Eugene Yang; Dawn J. Lawrie; Nils Holzenberger; Andrew Blair-Stanek; Benjamin Van Durme (NAACL (Findings), 2025)

Can A Society of Generative Agents Simulate Human Behavior and Inform Public Health Policy? A Case Study on Vaccine Hesitancy. - Abe Bohan Hou; Hongru Du; Yichen Wang; Jingyu Zhang; Zixiao Wang; Paul Pu Liang; Daniel Khashabi; Lauren Gardner; Tianxing He (CoRR, 2025)