新闻
Meet Blume: An Open-Source, Zero-Config Documentation Framework That Ships AI-Ready Docs From a Markdown Folder
Hayden Bleasel, an expert developer from OpenAI, released Blume, an open-source documentation framework. Blume shipped...
Meet BioReason: The World’s First Reasoning Model in Biology that Enables AI to Reason about Genomics like a Biology Expert
A major hurdle in using AI for genomics is the lack of interpretable, step-by-step reasoning...
Meet a mouse whose brain cortex is made up of human cells
Multiple cameras tracked a mouse as it wandered around a small arena. A computer charted...
Meet ‘Kani-TTS-2’: A 400M Param Open Source Text-to-Speech Model that Runs in 3GB VRAM with Voice Cloning Support
The landscape of generative audio is shifting toward efficiency. A new open-source contender, Kani-TTS-2, has...
Meet ‘Code-as-World’: An Agentic Loop That Rewrites Real Videos Into Executable MuJoCo Physics Programs
MirroS released Code-as-World: a paradigm that represents physical worlds through executable world representations. The argument...
Meet ‘AutoAgent’: The Open-Source Library That Lets an AI Engineer and Optimize Its Own Agent Harness Overnight
There’s a particular kind of tedium that every AI engineer knows intimately: the prompt-tuning loop...
MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering
arXiv:2505.24040v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable performance on various...
MedKGI: Iterative Differential Diagnosis with Medical Knowledge Graphs and Information-Guided Inquiring
arXiv:2512.24181v1 Announce Type: new Abstract: Recent advancements in Large Language Models (LLMs) have demonstrated significant...
Measuring Reasoning Utility in LLMs via Conditional Entropy Reduction
arXiv:2508.20395v1 Announce Type: new Abstract: Recent advancements in large language models (LLMs) often rely on...
Measuring Performance of Transformer Inference
This chapter is divided into eight parts; they are: • Metrics for LLM Inference •...
Measuring Intent Comprehension in LLMs
arXiv:2506.16584v2 Announce Type: replace Abstract: People judge interactions with large language models (LLMs) as successful...
Measuring Chain-of-Thought Monitorability Through Faithfulness and Verbosity
arXiv:2510.27378v2 Announce Type: replace-cross Abstract: Chain-of-thought (CoT) outputs let us read a model’s step-by-step reasoning...
