BERT-LER: explainable AI reads 75 million health records
BERT-LER, trained on 75 million de-identified patient records, matches benchmark models on clinical prediction tasks while explaining its own reasoning.
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AI model releases and benchmarks — what each new model actually changes for the people who use it.
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BERT-LER, trained on 75 million de-identified patient records, matches benchmark models on clinical prediction tasks while explaining its own reasoning.
arXiv preprint argues fixing LLM errors is an operations problem, not a tooling problem, and governance for persisted corrections doesn't exist yet.
Tencent Zhuque Lab's open-source tool scans AI agents, MCP servers and LLM jailbreaks. It has 5,200+ stars and a README that explicitly asks for them.
An August 2026 arXiv preprint splits RL world models so reward prediction uses only symbolic state, letting agents switch tasks without further training.
A new arXiv preprint proposes screening federated LLM updates by tracking normalisation-layer changes, beating six baselines under 40% attack.
GxP-Agent encodes regulatory steps as a graph, turning 0% failure into 100% structural match on a new FDA-pilot clinical trial benchmark.
Cambridge researchers find looped language models improve at multi-step API tool calling, with adaptive inference offering the best compute-performance
A new arXiv preprint introduces LeakGauge, a detector that flags when LLMs leak confidential context, tested across 11 models with AUROC to 0.996.
Euclid-Omni couples LLMs and vision models with a formal geometry solver to match state-of-the-art on Olympiad proofs using less compute.
New arXiv preprint introduces Agentao, a local-first runtime that separates what LLM agents propose from what they can execute, with open-source code on
New benchmark of 1,243 failed agent runs shows even GPT-5.5 auditors fix only 26.6%, with SearchAuditor at 32.3%, a warning for agent teams.
An arXiv preprint maps security threats across chiplet systems and LLM-driven chip design tools, directly affecting fabless semiconductor teams adopting