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Knowledge Pull Requests for Continual Document Authoring

Paper recorded by Signals 4 on 2026-09-22 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-22 on arXiv · recorded by Signals 4 on 2026-09-23

Category: cs.CL · 自然语言处理 · first seen 2026-09-23

Abstract

We introduce Knowledge Pull Requests (KPRs), a framework for continual document authoring that makes each change interpretable. Documents require ongoing revision as new knowledge surfaces from other sources, languages, or times, but existing approaches either edit with no account of what knowledge changed or regenerate from scratch. A KPR integrates new knowledge into a document by extracting cla

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#5 most recent of 227 cs.CL papers we have recorded · ↑ newer: Diffusion Drafts, AR Verifies: Accelerating Document OCR with Self-Spe · ↓ older: PERSONAWEAVER: Controllable Diversity Beyond Conventional Archetypes i
Cite this page: Knowledge Pull Requests for Continual Document Authoring: the #5 most recent of 227 cs.CL papers we have recorded (as of 2026-09-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/knowledge-pull-requests-for-continual-document-authoring.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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