Johnny Tian-Zheng Wei

20 papers Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Hubble: a Model Suite to Advance the Study of LLM Memorization.
CoRR
Johnny Tian-Zheng Wei, Ameya Godbole, Mohammad Aflah Khan, Ryan Wang, Xiaoyuan Zhu, James Flemings, Nitya Kashyap, Krishna P. Gummadi, Willie Neiswanger, Robin Jia
2025 J jnl
Interrogating LLM design under a fair learning doctrine.
CoRR
Johnny Tian-Zheng Wei, Maggie Wang, Ameya Godbole, Jonathan H. Choi, Robin Jia
2025 — conf
Interrogating LLM design under copyright law.
FAccT
Johnny Tian-Zheng Wei, Maggie Wang, Ameya Godbole, Jonathan H. Choi, Robin Jia
2025 — conf
Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge.
ACL (Findings)
Xinyue Cui, Johnny Tian-Zheng Wei, Swabha Swayamdipta, Robin Jia
2025 J jnl
Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge.
CoRR
Xinyue Cui, Johnny Tian-Zheng Wei, Swabha Swayamdipta, Robin Jia
2025 — conf
TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability.
EMNLP (System Demonstrations)
Mohammad Aflah Khan, Ameya Godbole, Johnny Tian-Zheng Wei, Ryan Yixiang Wang, James Flemings, Krishna P. Gummadi, Willie Neiswanger, Robin Jia
2025 J jnl
TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability.
CoRR
Mohammad Aflah Khan, Ameya Godbole, Johnny Tian-Zheng Wei, Ryan Wang, James Flemings, Krishna P. Gummadi, Willie Neiswanger, Robin Jia
2024 — conf
Operationalizing Content Moderation "Accuracy" in the Digital Services Act.
AIES (1)
Johnny Tian-Zheng Wei, Frederike Zufall, Robin Jia
2024 — conf
Proving membership in LLM pretraining data via data watermarks.
ACL (Findings)
Johnny Tian-Zheng Wei, Ryan Yixiang Wang, Robin Jia
2024 J jnl
Proving membership in LLM pretraining data via data watermarks.
CoRR
Johnny Tian-Zheng Wei, Ryan Yixiang Wang, Robin Jia
2023 J jnl
Operationalizing content moderation "accuracy" in the Digital Services Act.
CoRR
Johnny Tian-Zheng Wei, Frederike Zufall, Robin Jia
2022 — conf
Searching for a Higher Power in the Human Evaluation of MT.
WMT
Johnny Tian-Zheng Wei, Tom Kocmi, Christian Federmann
2022 J jnl
Searching for a higher power in the human evaluation of MT.
CoRR
Johnny Tian-Zheng Wei, Tom Kocmi, Christian Federmann
2021 J jnl
Bandit algorithms to personalize educational chatbots.
Mach. Learn.
William Cai, Josh Grossman, Zhiyuan (Jerry) Lin, Hao Sheng, Johnny Tian-Zheng Wei, Joseph Jay Williams, Sharad Goel
2021 — conf
The statistical advantage of automatic NLG metrics at the system level.
ACL/IJCNLP (1)
Johnny Tian-Zheng Wei, Robin Jia
2021 J jnl
The statistical advantage of automatic NLG metrics at the system level.
CoRR
Johnny Tian-Zheng Wei, Robin Jia
2019 J jnl
Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings.
CoRR
Sarik Ghazarian, Johnny Tian-Zheng Wei, Aram Galstyan, Nanyun Peng
2019 J jnl
On conducting better validation studies of automatic metrics in natural language generation evaluation.
CoRR
Johnny Tian-Zheng Wei
2018 J jnl
Evaluating Syntactic Properties of Seq2seq Output with a Broad Coverage HPSG: A Case Study on Machine Translation.
CoRR
Johnny Tian-Zheng Wei, Khiem Pham, Brian Dillon, Brendan O'Connor
2016 — conf
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema.
TAC
Haw-Shiuan Chang, Abdurrahman Munir, Ao Liu, Johnny Tian-Zheng Wei, Aaron Traylor, Ajay Nagesh, Nicholas Monath, Patrick Verga, Emma Strubell, Andrew McCallum