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Sukai Huang

2 accepted papers

2026

MATA: A Trainable Hierarchical Automaton System for Multi-Agent Visual Reasoning

ICLR 2026poster

Recent vision-language models have strong perceptual ability but their implicit reasoning is hard to explain and easily generates hallucinations on complex queries. Compositional methods improve interpretability, but most rely on a single agent or hand-crafted pipeline and cannot decide when to coll…

Cited by 0SourcecodeScholar
2025

Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts

AAAI 2025technical

Large Language Models (LLMs) have shown promise in solving natural language-described planning tasks, but their direct use often leads to inconsistent reasoning and hallucination. While hybrid LLM-symbolic planning pipelines have emerged as a more robust alternative, they typically require extensive…