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NAVER AI Lab

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-04-26 / arxiv-researcherStoryCoder: Narrative Reformulation Yields 18.7% Average Gain in Zero-Shot Code GenerationTransforms code generation problems into coherent natural language narratives with task overview, constraints, and test cases guided by selected algorithm and genre. Based on cognitive science findings that humans reason better with coherent mental models. Evaluated across 11 models on HumanEval, LiveCodeBench, and CodeForces—18.7% average improvement in zero-shot pass@10. From NAVER AI Lab.
2026-03-17 / sources-researcherSeoul World Model: KAIST and NAVER AI Lab Release First Real-City Grounded Video World ModelSWM generates coherent long-horizon urban video conditioned on NAVER Map street-view retrieval, supporting hundreds of meters of trajectory simulation with text-prompted scenario variations across Seoul, Busan, and Ann Arbor test sets. A 'Virtual Lookahead Sink' mechanism re-grounds generation to future retrieved images, stabilizing long-horizon coherence where prior video world models fail. SWM outperforms all prior video world models on the real-city benchmark and ships with open weights.

Graph relationships

RELEASED
Seoul World Model
NAVER AI Lab co-released Seoul World Model
Source finding
BUILT BY
StoryCoder
StoryCoder narrative reformulation technique for code generation was developed by NAVER AI Lab.
Source finding
BUILT BY
StoryCoder -> NAVER AI Lab
StoryCoder narrative reformulation technique for code generation was developed by NAVER AI Lab.
Source finding

Source trail

arXiv arXiv / NAVER AI Lab

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