Word Frequency Does Not Predict Grammatical Knowledge in Language Models. - Charles Yu; Ryan Sie; Nico Tedeschi; Leon Bergen (EMNLP (1), 2020)

Improved Nd Doped Silica Fiber for E-Band Amplification. - Leily Kiani; Paul Pax; Derrek Reggie Drachenberg; Jay Dawson; Charles Boley; Cody Mart; Victor Khitrov; Charles Yu; Robert Crist; Matthew Cook; Nick Schenkel; Michael Runkel; et al. (OFC, 2020)

ADEPT: A DEbiasing PrompT Framework. - Ke Yang; Charles Yu; Yi Ren Fung 001; Manling Li; Heng Ji 001 (AAAI, 2023)

Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model. - Ali Omrani; Alireza Salkhordeh Ziabari; Charles Yu; Preni Golazizian; Brendan Kennedy 001; Mohammad Atari; Heng Ji; Morteza Dehghani (ACL (1), 2023)

Unlearning Bias in Language Models by Partitioning Gradients. - Charles Yu; Sullam Jeoung; Anish Kasi; Pengfei Yu; Heng Ji 001 (ACL (Findings), 2023)

Defining a New NLP Playground. - Sha Li; Chi Han; Pengfei Yu; Carl Edwards; Manling Li; Xingyao Wang 002; Yi Ren Fung 001; Charles Yu; Joel R. Tetreault; Eduard H. Hovy; Heng Ji 001 (EMNLP (Findings), 2023)

Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. - Chi Han; Qizheng He; Charles Yu; Xinya Du; Hanghang Tong; Heng Ji 001 (ICLR, 2023)

Automating Knowledge Discovery from Scientific Literature via LLMs: A Dual-Agent Approach with Progressive Ontology Prompting. - Yuting Hu; Dancheng Liu; Qingyun Wang 005; Charles Yu; Heng Ji 001; Jinjun Xiong (CoRR, 2024)