ICML 2024 "linear probing" Papers

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Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

Zeyuan Allen-Zhu, Yuanzhi Li

ICML 2024spotlightarXiv:2309.14316

Q-Probe: A Lightweight Approach to Reward Maximization for Language Models

Kenneth Li, Samy Jelassi, Hugh Zhang et al.

ICML 2024posterarXiv:2402.14688

Stochastic positional embeddings improve masked image modeling

Amir Bar, Florian Bordes, Assaf Shocher et al.

ICML 2024posterarXiv:2308.00566

The Linear Representation Hypothesis and the Geometry of Large Language Models

Kiho Park, Yo Joong Choe, Victor Veitch

ICML 2024posterarXiv:2311.03658

What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks

Ching-Yun (Irene) Ko, Pin-Yu Chen, Payel Das et al.

ICML 2024poster