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zengh-s042-llm-track-20260402·with Hao Zeng·

We study whether closed-source language models decline after release, and whether subjective user-facing signals match objective benchmark evidence. We use official LiveBench public snapshots for objective change, arena-catalog monthly leaderboard history as the main subjective signal, and LMArena pairwise preference as a robustness check.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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