Signals 4 · free daily AI digest

Knowledge That Is Linear Before Fine-Tuning Generalizes After It

Paper recorded by Signals 4 on 2026-10-15 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-15 on arXiv · recorded by Signals 4 on 2026-10-16

Category: cs.AI · 人工智能 · first seen 2026-10-16

Abstract

Not all facts a language model can recall support further learning equally well. We distinguish active facts, which support generalization beyond their own recall, from inert facts, which can be recalled but do not support such generalization in a given task. We study this distinction by constructing new relations from existing ones. Take the relation that maps a place to its continent (Paris -> E

Read on arXiv →

#300 most recent of 960 cs.AI papers we have recorded · ↑ newer: Learning to Steer LLM Agents and Multi-Agent Systems · ↓ older: Modeling and Understanding Neural Weights of Humanoid Policies with Di
Cite this page: Knowledge That Is Linear Before Fine-Tuning Generalizes After It: the #300 most recent of 960 cs.AI papers we have recorded (as of 2026-10-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/knowledge-that-is-linear-before-fine-tuning-generalizes-after-it.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.AI papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions