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Robust Soft Skill Adaptation via Behavioral Localization in Tool-Using Agents

Paper recorded by Signals 4 on 2026-10-21 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-21 on arXiv · recorded by Signals 4 on 2026-10-22

Category: cs.AI · 人工智能 · first seen 2026-10-22

Abstract

Text skills can extend the capabilities of tool-using agents, but long skill descriptions increase computational costs. Soft prompts provide a compact alternative, yet learning from entire successful trajectories may also introduce unnecessary behavioral changes. We find that the useful effect of a text skill is highly concentrated in a small subset of trajectory positions. Based on this observati

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#218 most recent of 960 cs.AI papers we have recorded · ↑ newer: HGM-Dual: Lineage-Aware Guided Agent Harness Optimization for Long-Hor · ↓ older: What the Author Wrote, What the Agent Reads: Silent Cue Loss in Enterp
Cite this page: Robust Soft Skill Adaptation via Behavioral Localization in Tool-Using Agents: the #218 most recent of 960 cs.AI papers we have recorded (as of 2026-10-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/robust-soft-skill-adaptation-via-behavioral-localization-in-tool-using-agents.html
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