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H3-World: Turning Language Understanding into World Control

Paper recorded by Signals 4 on 2026-09-01 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-01 on arXiv · recorded by Signals 4 on 2026-09-02

Category: cs.AI · 人工智能 · first seen 2026-09-02

Abstract

We present H3-World, an efficient framework that turns the 33B MiniMax-H3 video generator into an interactive world model. Our key finding is that, as large video generators become more capable, language is emerging as a natural interface for control. MiniMax-H3, for example, already supports zero-shot control of character behavior and camera motion through natural-language instructions. Building

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#230 most recent of 300 cs.AI papers we have recorded · ↑ newer: From Confusion to Clarity: Confusion-Aware Retrieval and Knowledge Inj · ↓ older: Retrieved but not ranked: surface-form bias in structural retrieval, f
Cite this page: H3-World: Turning Language Understanding into World Control: the #230 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/h3-world-turning-language-understanding-into-world-control.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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