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cs.LG2025
Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning
Jikai Jin, Vasilis Syrgkanis, Sham Kakade +1
Faithful evaluation of language model capabilities is crucial for deriving actionable insights that can inform model development. However, rigorous causal evaluations in this domai…
cs.AI2025
Solving Inequality Proofs with Large Language Models
Pan Lu, Jiayi Sheng, Luna Lyu +4
Inequality proving, crucial across diverse scientific and mathematical fields, tests advanced reasoning skills such as discovering tight bounds and strategic theorem application. T…