1 citations · 1 across the 11 of their papers we have counts for
Showing cs.AIShow all
3 papers · 1 filter
cs.AI2026
Conditional Performance Guarantee for Large Reasoning Models
Jianguo Huang, Hao Zeng, Bingyi Jing +2
Large reasoning models have shown strong performance through extended chain-of-thought reasoning, yet their computational cost remains significant. Probably approximately correct (…
cs.AI2026
On the Provable Performance Guarantee of Efficient Reasoning Models
Hao Zeng, Jianguo Huang, Bingyi Jing +2
Large reasoning models (LRMs) have achieved remarkable progress in complex problem-solving tasks. Despite this success, LRMs typically suffer from high computational costs during d…
cs.AI2025
Multi-Condition Conformal Selection
Qingyang Hao, Wenbo Liao, Bingyi Jing +1
Selecting high-quality candidates from large-scale datasets is critically important in resource-constrained applications such as drug discovery, precision medicine, and the alignme…