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9 故事创新
SESSE proposes structured decomposition to make LLM judging more auditable
An arXiv preprint introduces SESSE, a training-free framework that breaks an LLM judge’s preference into sub-questions. The authors report near-parity with a chain-of-thought baseline on 1,000 RewardBench examples and criterion-level vote records; generalization, cost, and independent validation remain open questions.arxiv.org创新
IBM team reports AI-written adapters bring thousands of Hugging Face models to Spyre
An IBM Spyre team says coding agents helped create 13 runtime adapters that covered 7,960 of the 10,000 most-downloaded Hugging Face embedding models in its target set, with 6,804 passing end-to-end tests on Spyre. The team says human debugging remained essential.pytorch.org创新
Apple researchers report iterative pseudo-labeling gains for Mandarin-English speech recognition
An Apple research paper describes a three-phase iterative pseudo-labeling method for Mandarin-English code-switching automatic speech recognition and reports Mix Error Rate reductions on two SEAME development subsets.machinelearning.apple.com产品展示
Google to let users tune Discover with natural-language requests
Google says users will soon be able to tell Discover what topics and links they want to see more or less of, while new controls also personalize Search and Google News audio briefings.
blog.google产品展示
AWS adds cross-Region access to OpenAI GPT-5.6 models on Bedrock
Amazon Bedrock now offers OpenAI’s GPT-5.6 Sol, Terra, and Luna models in more than 25 AWS Regions, with geographic and global routing options that expand the available compute pool.aws.amazon.com产品展示
Google adds publisher-preference labels and citation badges to AI Search
Google says AI Overviews and AI Mode will now highlight users’ preferred sources, while new carousels and a Highly Cited badge aim to make original reporting and firsthand perspectives easier to find.blog.google创新
MIT researchers develop computational method to search for greener ammonia catalysts
MIT researchers report a density-functional-theory and machine-learning approach for identifying catalyst alloys that could improve electrochemical ammonia production, though the proposed materials have not yet been made or tested.news.mit.edu工业
NVIDIA-Backed Tests Explore Flexible AI-Factory Power Use During Grid Stress
Emerald AI, NVIDIA, EPRI, National Grid and Nebius tested software that reduced an AI factory’s electricity use during simulated grid emergencies while preserving selected high-priority workloads. One test reported roughly 30% less use within 40 seconds; commercial and grid-wide benefits remain unproven.
blogs.nvidia.com产品展示
Ramp launches Router, a multi-model gateway that automatically balances cost and performance
Ramp says Router gives developers one endpoint for multiple AI models and can lower inference costs through automated model selection, but key performance and retention details remain unverified.router.com