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When the Top Answer Decides: Gender Bias in Decision Models

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

Decision models are language models built to route, classify and triage: they return option probabilities from one forward pass, and an application acts on the top answer. They are offered off the shelf, trained for the decision format rather than for fairness or any one application, and we found no bias measurement in their cards. We test TypeSafe's closed Jev and five open decision models on gen

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#75 most recent of 628 cs.CL papers we have recorded · ↑ newer: The Role of Self-Concept In Language Models · ↓ older: From the Transformer to a Formal Semantics of Coordinated Transformati
Cite this page: When the Top Answer Decides: Gender Bias in Decision Models: the #75 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/when-the-top-answer-decides-gender-bias-in-decision-models.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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