Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema. - Haw-Shiuan Chang; Abdurrahman Munir; Ao Liu 003; Johnny Tian-Zheng Wei; Aaron Traylor; Ajay Nagesh; Nicholas Monath; Patrick Verga; Emma Strubell; Andrew McCallum (TAC, 2016)

Evaluating Syntactic Properties of Seq2seq Output with a Broad Coverage HPSG: A Case Study on Machine Translation. - Johnny Tian-Zheng Wei; Khiem Pham; Brian Dillon; Brendan O'Connor 001 (CoRR, 2018)

Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings. - Sarik Ghazarian; Johnny Tian-Zheng Wei; Aram Galstyan; Nanyun Peng 001 (CoRR, 2019)

On conducting better validation studies of automatic metrics in natural language generation evaluation. - Johnny Tian-Zheng Wei (CoRR, 2019)

The statistical advantage of automatic NLG metrics at the system level. - Johnny Tian-Zheng Wei; Robin Jia (ACL/IJCNLP (1), 2021)

Bandit algorithms to personalize educational chatbots. - William Cai; Josh Grossman; Zhiyuan (Jerry) Lin; Hao Sheng 003; Johnny Tian-Zheng Wei; Joseph Jay Williams; Sharad Goel (Mach. Learn., 2021)

Searching for a Higher Power in the Human Evaluation of MT. - Johnny Tian-Zheng Wei; Tom Kocmi; Christian Federmann (WMT, 2022)

Proving membership in LLM pretraining data via data watermarks. - Johnny Tian-Zheng Wei; Ryan Yixiang Wang; Robin Jia (ACL (Findings), 2024)

Operationalizing Content Moderation "Accuracy" in the Digital Services Act. - Johnny Tian-Zheng Wei; Frederike Zufall; Robin Jia (AIES (1), 2024)

Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge. - Xinyue Cui; Johnny Tian-Zheng Wei; Swabha Swayamdipta; Robin Jia (ACL (Findings), 2025)

Interrogating LLM design under copyright law. - Johnny Tian-Zheng Wei; Maggie Wang; Ameya Godbole; Jonathan H. Choi; Robin Jia (FAccT, 2025)

Interrogating LLM design under a fair learning doctrine. - Johnny Tian-Zheng Wei; Maggie Wang; Ameya Godbole; Jonathan H. Choi; Robin Jia (CoRR, 2025)

TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability. - Mohammad Aflah Khan; Ameya Godbole; Johnny Tian-Zheng Wei; Ryan Wang; James Flemings; Krishna P. Gummadi; Willie Neiswanger; Robin Jia (CoRR, 2025)