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Predicting Alignment Generalization with Value Representations

Paper recorded by Signals 4 on 2026-10-08 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-08 on arXiv · recorded by Signals 4 on 2026-10-09

Category: cs.AI · 人工智能 · first seen 2026-10-09

Abstract

LLM developers post-train their models to exhibit prosocial values and behavioral traits, which are enumerated in an alignment target. However, while recent post-training developments have yielded models that score highly on alignment evaluations, training models on sets of narrow behaviors still influences their behavior across unseen contexts and environments in unexpected ways. In this paper, w

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#369 most recent of 960 cs.AI papers we have recorded · ↑ newer: MAMHOI: Factorizing Scene-Aware Human-Object Interaction through Affor · ↓ older: Searching for "Harmful Refusal": A Psychometric Audit of an AI Safety
Cite this page: Predicting Alignment Generalization with Value Representations: the #369 most recent of 960 cs.AI papers we have recorded (as of 2026-10-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/predicting-alignment-generalization-with-value-representations.html
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