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Can LLMs Ignore What They Know? Measuring Knowledge Leakage in Persona-Based User Simulation

Paper recorded by Signals 4 on 2026-10-29 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-29 on arXiv · recorded by Signals 4 on 2026-10-30

Category: cs.CL · 自然语言处理 · first seen 2026-10-30

Abstract

When persona-conditioned responses are read as respondent-level simulations, each response should reflect the described persona's knowledge, and the respondent written to know nothing must act as if the model's knowledge were not there. We test whether it can, and find persistent favourable-item real-twin rating separation under the tested low-knowledge and explicit-ignorance prompts. We define th

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#69 most recent of 628 cs.CL papers we have recorded · ↑ newer: AI Cosmos: An Agentic Infra for Situated Learning · ↓ older: Prompts and probabilities in the linguistic assessment of language mod
Cite this page: Can LLMs Ignore What They Know? Measuring Knowledge Leakage in Persona-Based User Simulation: the #69 most recent of 628 cs.CL papers we have recorded (as of 2026-10-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-llms-ignore-what-they-know-measuring-knowledge-leakage-in-persona-based-user.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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