Bingyu Liang — accepted AI-conference papers

2026

Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation

Longhui Zhang, Jiahao Wang, Chenhao Hu, Bingyu Liang, Jing Li, Min zhang

ICML 2026poster

While large language models (LLMs) have greatly advanced the functional correctness of automated code translation systems, the runtime efficiency of translated programs has received comparatively little attention. With the waning of Moore’s law, runtime efficiency has become increasingly important f…

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2026

SuCo: Sufficiency-guided Continuous Adaptive Reasoning

Jiahao Wang, Bingyu Liang, Chenhao Hu, Longhui Zhang, Xuebo Liu, Min zhang +2

ICML 2026poster

Despite remarkable performance on complex tasks, Large Reasoning Models (LRMs) often generate excessively long Chain-of-Thoughts (CoT), inflating computational costs even for simple queries. Existing efforts to mitigate this inefficiency typically rely on discrete reasoning modes or fixed budget tie…

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