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Does a model's stated reason for rejecting a candidate do any work?

Paper recorded by Signals 4 on 2026-09-24 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-24 on arXiv · recorded by Signals 4 on 2026-09-25

Category: cs.AI · 人工智能 · first seen 2026-09-25

Abstract

Asked to choose between candidates and explain the choice, a language model often rejects a rival by naming a fact its profile lacks: no director, no date of death. That sentence is a claim about the text in front of the model, and it can be tested without any judge. We insert a real corpus sentence stating the named fact into the rival's profile and ask again under greedy decoding. Two controls s

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#18 most recent of 400 cs.AI papers we have recorded · ↑ newer: Search-Aware Reinforcement Learning for Multi-Component Query Understa · ↓ older: GRASP: Generating, Revising, and Assessing for Strategic Planning with
Cite this page: Does a model's stated reason for rejecting a candidate do any work?: the #18 most recent of 400 cs.AI papers we have recorded (as of 2026-09-24). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/does-a-model-s-stated-reason-for-rejecting-a-candidate-do-any-work.html
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