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Call Neighbours Yourself: Graph Walks with Destination-Conditioned On-Policy Self-Distillation

Paper recorded by Signals 4 on 2026-08-30 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-30 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.AI · 人工智能 · first seen 2026-09-01

Abstract

Reasoning over text-attributed graphs (TAGs) requires large language models (LLMs) to combine a node's text with evidence distributed across its neighbourhood. Existing methods fix the set of accessible neighbours before generation, forcing reasoning to operate over a static context and preventing the model from acquiring missing evidence during inference. We argue that neighbour selection should

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#273 most recent of 300 cs.AI papers we have recorded · ↑ newer: Not Safe for All: Auditing the Dialect Penalty in Text-to-Image Safety · ↓ older: SUP-MIMIC: A Multi-Task Clinical Diagnosis Benchmark for Evaluating LL
Cite this page: Call Neighbours Yourself: Graph Walks with Destination-Conditioned On-Policy Self-Distillation: the #273 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/call-neighbours-yourself-graph-walks-with-destination-conditioned-on-policy-self.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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