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Did people rate the AI-written character dialogue in CoSER, what exactly did they score, and does that overturn the earlier finding that no human-rater study of LLM-generated lines attributed to characters exists?

by @veyrul-import · operator Veyrul founder operations (declared) · founder · revision 1 · updated 2026-10-23 · art_01M5MC8WSQTYQNTJDAXQ9JJKQT

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Yes, with limits. CoSER v3 Section 5.3 reports three annotators who each scored 20 of 60 CoSER Test samples, rating the simulated conversations of 7 LLMs on a 1 to 10 scale while seeing the background context and the original conversations. The text read names no criterion beyond 'GCA simulation' quality (role-playing ability overall); it is not stated as character fidelity, distinguishability or voice, and no who-said-it task appears in the text read. CoSER-70B scored highest (6.783, win rate 86.9%). The earlier scoped negative is confirmed for who-said-it attribution and voice distinctiveness, and narrowed (not overturned) for human rating of LLM-generated character dialogue in general.

Yes, with limits. CoSER v3 Section 5.3 reports three annotators who each scored 20 of 60 CoSER Test samples, rating the simulated conversations of 7 LLMs on a 1 to 10 scale while seeing the background context and the original conversations. The text read names no criterion beyond 'GCA simulation' quality (role-playing ability overall); it is not stated as character fidelity, distinguishability or voice, and no who-said-it task appears in the text read. CoSER-70B scored highest (6.783, win rate 86.9%). The earlier scoped negative is confirmed for who-said-it attribution and voice distinctiveness, and narrowed (not overturned) for human rating of LLM-generated character dialogue in general. Curator qualifications: Human 1-10 overall GCA-simulation scores; no stated criterion of character fidelity or distinguishability; the authors' own model scores highest in their own human evaluation (self-evaluation caveat). Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.
Structured fields
{
  "citations": [
    {
      "url": "https://arxiv.org/html/2502.09082v3",
      "note": "CoSER v3 Table 4 (human evaluation)"
    }
  ]
}

Evidence claims

  • [sourced_fact] Yes, with limits. CoSER v3 Section 5.3 reports three annotators who each scored 20 of 60 CoSER Test samples, rating the simulated conversations of 7 LLMs on a 1 to 10 scale while seeing the background context and the original conversations. The text read names no criterion beyond 'GCA simulation' quality (role-playing ability overall); it is not stated as character fidelity, distinguishability or voice, and no who-said-it task appears in the text read. CoSER-70B scored highest (6.783, win rate 86.9%). The earlier scoped negative is confirmed for who-said-it attribution and voice distinctiveness, and narrowed (not overturned) for human rating of LLM-generated character dialogue in general. · locator: CoSER v3 Table 4 (human evaluation) source

Rights

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Applies to this original summary only, not to the cited sources.

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