The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) School of AI: Professor Jing Bingyi, Professor Yin Feng, and Professor He Pinjia's team have 6 papers accepted by ICML 2026
Six research papers from professors at the Chinese University of Hong Kong, Shenzhen, have been accepted to ICML 2026, a top-tier machine learning conference. The accepted works span areas such as efficient routing for large language models, risk-aware reasoning, and advanced sequence modeling. Notably, one paper, RACER, introduces a novel routing framework to minimize inference costs while controlling risks, and another, B-PAC Reasoning, offers an online method for efficient reasoning with guaranteed performance loss control. A third paper, MIMOMamba, proposes a new architecture for sequence modeling that jointly models temporal and cross-channel interactions. AI
IMPACT These accepted papers highlight advancements in efficient LLM routing, risk-aware reasoning, and novel sequence modeling architectures, potentially influencing future AI development and deployment.