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Author

William F. Shen

Observed names: Shen, William F, Shen, William F., William Shen
Observed institution: University of Cambridge
ORCID: 0009-0007-2327-1697
Observed ORCID: 0009-0007-2327-1697
OpenAlex ID: A5113222165
The Future of Large Language Model Pre-training is Federated
2024 · Sani, Lorenzo, Iacob, Alex, et al. · arXiv (Cornell University) · 6
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The Red Queen Gödel Machine: Co-Evolving Agents and Their Evaluators
2026 · Iacob, Alex, Jovanović, Andrej, et al. · arXiv (Cornell University) · 1
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Balanced Accuracy: The Right Metric for Evaluating LLM Judges - Explained through Youden’s J statistic
2026 · Stephane Collot, Colin Fraser, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 1
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LLM Unlearning via Neural Activation Redirection
2025 · William Shen, Xinchi Qiu, et al. · neural information processing systems · 1
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Learning to Read Out: Unembedding Dynamics in Language Model Pretraining
2026 · He, Matteo, Shen, William F., et al. · arXiv (Cornell University)
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Can AI Scientists Coordinate at Runtime?
2026 · Liu, Zijian, Luo, Yangzhixin, et al. · arXiv (Cornell University)
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TULIP: Targeted LLM Unlearning at Layers Identified Per-input
2026 · Kim, Yejin, Shen, William F., et al. · arXiv (Cornell University)
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Extracting Forgotten Prompts from Targeted Unlearned Models
2026 · Hoi-Ting, Au Ashley, Kurmanji, Meghdad, et al. · arXiv (Cornell University)
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Sparse Readout Prism: Explaining Logit-Lens Scores in Features Instead of Tokens
2026 · He, Matteo, Shen, William F., et al. · arXiv (Cornell University)
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How LLM Task-Adaptation Reshapes Alignment: A Multi-dimensional Study of Behavioral and Representational Drift
2026 · Elcock, James, Shen, William F., et al. · arXiv (Cornell University)
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Break the Output Geometry for Large Language Model Unlearning
2026 · Kim, Yejin, Shen, William F., et al. · KAIST Institutional Repository (KAIST)
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
2026 · Shen, William F., Qiu, Xinchi, et al. · arXiv (Cornell University)
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LoRDO: Distributed Low-Rank Optimization with Infrequent Communication
2026 · Jovanović, Andrej, Iacob, Alex, et al. · arXiv (Cornell University)
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Scaling Small Agents Through Strategy Auctions
2026 · Alazraki, Lisa, Shen, William F., et al. · arXiv (Cornell University)
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STAR Analyst: Self-Tuning Alpha Research
2026 · Shen, William F, Iacob, Alex, et al.
Star Analyst: Self-Tuning Alpha Research
2026 · William F. Shen, Xinchi Qiu, et al. · SSRN Electronic Journal
Benchmarking Unauthorized Distillation Should Be Attack–Defense Co-Evaluation Under API Constraints
2026 · Meghdad Kurmanji, Au, Ashley Hoi-Ting, et al.
Training AI Co-Scientists Using Rubric Rewards
2025 · Goel, Shashwat, Hazra, Rishi, et al. · arXiv (Cornell University)
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MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates
2025 · Iacob, Alex, Jovanovic, Andrej, et al. · arXiv (Cornell University)
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SEAT: Sparse Entity-Aware Tuning for Knowledge Adaptation while Preserving Epistemic Abstention
2025 · Shen, William F., Qiu, Xinchi, et al. · arXiv (Cornell University)
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DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models
2025 · Iacob, Alex, Sani, Lorenzo, et al. · Lancaster EPrints (Lancaster University)
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Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?
2025 · Li, Zexi, Wang, Xiangzhu, et al. · arXiv (Cornell University)
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DEPT: Decoupled Embeddings for Pre-training Language Models
2024 · Iacob, Alex, Sani, Lorenzo, et al. · arXiv (Cornell University)
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How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective
2024 · Qiu, Xinchi, Shen, William F., et al. · arXiv (Cornell University)
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Works count: 24
Citation count: 9
H-index: 1
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