It's surprising to see the pace of progress of LLMs (which until not long ago were very bad at math) achieving ever greater milestones. Take a look at the graph above. The progress curve is getting faster and faster. I'll leave the link to the paper here: https://
arxiv.org/abs/2605.06651
RESEARCH
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LLMs’ Math Progress Accelerates Rapidly
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MARBLE: Multi-Aspect Reward Balance for Diffusion RL
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MARBLE Multi-Aspect Reward Balance for Diffusion RL paper: https://
huggingface.co/papers/2605.06
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AI for Mental Health Symposium at Stanford
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As part of the @Stanford Health AI Week, join us for the inaugural AI for Mental Health (AI4MH) Symposium on June 1. The event will explore how AI is shaping mental health – from foundational advances to real-world implementation and responsible use. https://
med.stanford.edu/psychiatry/spe
cial-initiatives/ai4mh/events/symposium2026.html
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Google reclaims lead in FrontierMath Tier 4
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LEADER in FRONTIER MATH T4! New record in one of the most challenging math benchmarks -FrontierMath Tier 4- where Google has just reclaimed the lead with a 47.9% !!, stealing the position from GPT 5.5 Pro It does it with its new math agent
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New Continuous Latent Diffusion Language Model paper
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Continuous Latent Diffusion Language Model paper: https://
huggingface.co/papers/2605.06
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Global Activation Approximation for Long-Context Understanding
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MiA-Signature Approximating Global Activation for Long-Context Understanding paper:
https://huggingface.co/papers/2605.06416
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AI summaries reduce physician burnout in hospitals
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Agentic AI summaries of hospitalizations were safe and reduced data clerk burden, burnout, and improved sense of well-being for physicians in a prospective study
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Unified Evolution of AI-Augmented Agents via Reinforcement Learning
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Skill1 Unified Evolution of Skill-Augmented Agents via Reinforcement Learning paper:
https://huggingface.co/papers/2605.06130
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CogAlpha: Using LLMs as Adaptive Agents for Financial Market Analysis
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Can AI find hidden patterns in stock markets that traditional methods miss? Researchers from China Mobile and the University of Hong Kong present CogAlpha — a framework that treats large language models as adaptive cognitive agents. Instead of relying on opaque neural nets or
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Doc-V* Agent Introduces OCR-Free Efficient Document Retrieval
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Struggling with AI that can't handle long, multi-page documents? Researchers from HUST and Xiaomi introduce Doc-V*, an OCR-free agent that starts with a thumbnail overview, then actively retrieves and reads only the relevant pages, storing evidence in a working memory. It