William F. Shen

19 papers A* 2Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 — conf
Balanced Accuracy: The Right Metric for Evaluating LLM Judges - Explained through Youden's J statistic.
EACL (Industry Track)
Stephane Collot, Colin Fraser, Justin Zhao, William F. Shen, Timon Willi, Ilias Leontiadis
2026 A* conf
Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?
AAAI
Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane
2026 J jnl
LoRDO: Distributed Low-Rank Optimization with Infrequent Communication.
CoRR
Andrej Jovanovic, Alex Iacob, Mher Safaryan, Ionut-Vlad Modoranu, Lorenzo Sani, William F. Shen, Xinchi Qiu, Dan Alistarh, Nicholas D. Lane
2026 J jnl
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks.
CoRR
William F. Shen, Xinchi Qiu, Chenxi Whitehouse, Lisa Alazraki, Shashwat Goel, Francesco Barbieri, Timon Willi, Akhil Mathur, Ilias Leontiadis
2026 J jnl
Scaling Small Agents Through Strategy Auctions.
CoRR
Lisa Alazraki, William F. Shen, Yoram Bachrach, Akhil Mathur
2025 J jnl
AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling.
CoRR
Preslav Aleksandrov, Meghdad Kurmanji, Fernando García-Redondo, David O'Shea, William F. Shen, Alex Iacob, Lorenzo Sani, Xinchi Qiu, Nicola Cancedda, Nicholas D. Lane
2025 J jnl
Balanced Accuracy: The Right Metric for Evaluating LLM Judges - Explained through Youden's J statistic.
CoRR
Stephane Collot, Colin Fraser, Justin Zhao, William F. Shen, Timon Willi, Ilias Leontiadis
2025 A* conf
DEPT: Decoupled Embeddings for Pre-training Language Models.
ICLR
Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas Donald Lane
2025 J jnl
DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models.
CoRR
Alex Iacob, Lorenzo Sani, Mher Safaryan, Paris Giampouras, Samuel Horváth, Andrej Jovanovic, Meghdad Kurmanji, Preslav Aleksandrov, William F. Shen, Xinchi Qiu, Nicholas D. Lane
2025 J jnl
Don't Make It Up: Preserving Ignorance Awareness in LLM Fine-Tuning.
CoRR
William F. Shen, Xinchi Qiu, Nicola Cancedda, Nicholas D. Lane
2025 J jnl
Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?
CoRR
Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane
2025 J jnl
LUNAR: LLM Unlearning via Neural Activation Redirection.
CoRR
William F. Shen, Xinchi Qiu, Meghdad Kurmanji, Alex Iacob, Lorenzo Sani, Yihong Chen, Nicola Cancedda, Nicholas D. Lane
2025 J jnl
MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates.
CoRR
Alex Iacob, Andrej Jovanovic, Mher Safaryan, Meghdad Kurmanji, Lorenzo Sani, Samuel Horváth, William F. Shen, Xinchi Qiu, Nicholas D. Lane
2025 J jnl
Permissioned LLMs: Enforcing Access Control in Large Language Models.
CoRR
Bargav Jayaraman, Virendra J. Marathe, Hamid Mozaffari, William F. Shen, Krishnaram Kenthapadi
2025 J jnl
Training AI Co-Scientists Using Rubric Rewards.
CoRR
Shashwat Goel, Rishi Hazra, Dulhan Jayalath, Timon Willi, Parag Jain, William F. Shen, Ilias Leontiadis, Francesco Barbieri, Yoram Bachrach, Jonas Geiping, Chenxi Whitehouse
2024 J jnl
DEPT: Decoupled Embeddings for Pre-training Language Models.
CoRR
Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas D. Lane
2024 J jnl
PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs.
CoRR
Xinchi Qiu, William F. Shen, Yihong Chen, Nicola Cancedda, Pontus Stenetorp, Nicholas D. Lane
2024 J jnl
The Future of Large Language Model Pre-training is Federated.
CoRR
Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane
2024 J jnl
Worldwide Federated Training of Language Models.
CoRR
Alex Iacob, Lorenzo Sani, Bill Marino, Preslav Aleksandrov, William F. Shen, Nicholas Donald Lane