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lechmazur/persuasion

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LLM Persuasion Benchmark tests whether one language model can change another model’s stated position over the course of a multi-turn conversation. It runs round-robin persuasion dialogues on contested propositions and measures both persuasive effectiveness and target resistance from stance shifts recorded before and after each exchange.

3 mentions on Hacker News by 1 person: 1 story, 2 comments · first 2026-03-27 · latest 2026-03-28

Mentions per year 3 mentions · busiest year 2026 (3)
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  1. …will then change its view very easily in a multi-turn conversation while Kimi K2.5 or Grok won't: https://github.com/lechmazur/persuasion .
    comment by zone411 · 2026-03-28 · in AI overly affirms users asking for personal advice
  2. I built two related benchmarks this month: https://github.com/lechmazur/sycophancy and https://github.com/lechmazur/persuasion . There are large differences between LLMs. For example, good luck getting Grok to change its view, while Gemini…
    comment by zone411 · 2026-03-28 · in Folk are getting dangerously attached to AI that always tells them they're right
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    LLM Persuasion Benchmark: Multi-Turn Persuasion Between Models
    story by zone411 · 2026-03-27 · 0 comments