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LLM Persuasion Is in the Eye of the Evaluation

Paper recorded by Signals 4 on 2026-10-07 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-07 on arXiv · recorded by Signals 4 on 2026-10-08

Category: cs.CL · 自然语言处理 · first seen 2026-10-08

Abstract

Large language models (LLMs) have already been shown to match or exceed human experts in persuasion. While their persuasive capabilities hold promise for beneficial uses such as education and health communication, they can also be used to manipulate and misinform, making their evaluation a growing priority for developers and regulators. That evaluation, however, remains fragmented: studies differ

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#304 most recent of 660 cs.CL papers we have recorded · ↑ newer: PatchBench: Measuring Collateral Damage in Activation Patching · ↓ older: From Prompts to Trees: Effective LLM-Guided Tree Generation for Few-Sh
Cite this page: LLM Persuasion Is in the Eye of the Evaluation: the #304 most recent of 660 cs.CL papers we have recorded (as of 2026-10-07). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/llm-persuasion-is-in-the-eye-of-the-evaluation.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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