JW
Jeffrey Wu
cs.AIcs.LGcs.CLcs.ROstat.MLMachine LearningReinforcement, PsychologyRobotics
On Valency
published · living versionsW_b2ety6g8·v1 · currentpublished
Scaling and evaluating sparse autoencoders
with Leo Gao, Tom Dupré la Tour, Henk Tillman, Gabriel Goh +4
1 version
Preprints & journals
8 papers in the corpus · 2019–2025Precise and dexterous robotic manipulation via human-in-the-loop reinforcement learning.40834062 · Luo, Jianlan, Xu, Charles, Wu, Jeffrey et al.2025 · 67 citationsScience robotics. 2025;10(105):eads5033
Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning2410.21845v3 · Jianlan Luo, Charles Xu, Jeffrey Wu et al.2024 · 67 citationsarXiv
FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning2401.08553v3 · Jianlan Luo, Charles Xu, Fangchen Liu et al.2024 · 26 citationsarXiv
Scaling and evaluating sparse autoencoders2406.04093v1 · Leo Gao, Tom Dupr'e la Tour, Henk Tillman et al.2024 · 11 citationsarXivon Valency
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning2310.11731v1 · Jianlan Luo, Perry Dong, Jeffrey Wu et al.2023 · 4 citationsarXiv
Language Models are Few-Shot Learners2005.14165v4 · Tom B. Brown, Benjamin Mann, Nick Ryder et al.2020 · 2,966 citationsarXiv
Scaling Laws for Neural Language Models2001.08361v1 · Jared Kaplan, Sam McCandlish, Tom Henighan et al.2020 · 1,513 citationsarXivon Valency
Fine-Tuning Language Models from Human Preferences1909.08593v2 · Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu et al.2019 · 385 citationsarXiv
Career total: 11 works. 8 are in this corpus.
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