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Debias It Yourself: Teaching LLMs Cognitive Bias Mitigation Interventions

Paper recorded by Signals 4 on 2026-09-30 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-30 on arXiv · recorded by Signals 4 on 2026-10-01

Category: cs.CL · 自然语言处理 · first seen 2026-10-01

Abstract

Bias has long been studied in social psychology and cognitive science, where decades of research have produced a body of validated interventions that reduce stereotypical thinking and prejudiced responses in humans. We propose Debias It Yourself (DIY), a cognitively grounded framework that translates five such interventions into debiasing procedures for large language models and delivers them thro

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#18 most recent of 311 cs.CL papers we have recorded · ↑ newer: Learning Functional Subspaces for Neural Network Compression · ↓ older: On the (In)effectiveness of AMR Augmentation for Large Language Models
Cite this page: Debias It Yourself: Teaching LLMs Cognitive Bias Mitigation Interventions: the #18 most recent of 311 cs.CL papers we have recorded (as of 2026-09-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/debias-it-yourself-teaching-llms-cognitive-bias-mitigation-interventions.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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