Researchers study score-seeking in LLMs, examining how production models exploit scoring flaws and motivations behind behavior in agentic environments with leaked graders.
Read the original at arxiv.org→arXiv:2610.41014v1 Announce Type: new Abstract: Production large language models sometimes reward-hack, exploiting flaws in how tasks are scored rather than performing the tasks as intended, sometimes in highly...
Original headline: "Towards Understanding Score-Seeking in LLMs"
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- Nov 2, 05:00 UTC arXiv cs.LG lead source Towards Understanding Score-Seeking in LLMs