Tighter Bounds Found for Probabilities of Causation
A new study by Xin Shu, Zhen Lei, and Ang Li proposes tighter bounds than existing ones for multivalued probabilities of causation.
Research
Papers, technical findings, lab output.
A new study by Xin Shu, Zhen Lei, and Ang Li proposes tighter bounds than existing ones for multivalued probabilities of causation.
A new academic study finds that large language models (LLMs) used as judges frequently reverse their verdicts when faced with persistent pushback.
In a hackathon organized by Hugging Face, 1,221 participants used coding agents to attempt to reproduce 2,226 papers accepted at ICML 2026.
According to Hugging Face's summer 2026 report, Chinese labs pulled ahead with trillion-parameter open models while U.S. open-source leadership shifted from model labs to hardware makers.