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Autonomous web agents get a serious upgrade with WebXSkill, which lets them learn and execute skills with both code-level precision and human-readable guidance.
Agentic data science pipelines often reach falsely optimistic conclusions, but two simple sanity checks can expose these unsupported claims by testing if the agent can reliably distinguish signal from noise.
Medical AI Scientist leapfrogs generic LLMs in clinical research, generating higher-quality, evidence-backed hypotheses and manuscripts that rival top-tier medical publications.
Vision-language models struggle to adapt plans based on visual input alone, revealing a critical gap in their ability to use what they see when things don't go as expected.
GUI agents can achieve significantly stronger task-solving capabilities through carefully designed post-training and data curation, without relying on costly online data collection.
Forget full-cache rollouts: this parameter-efficient fine-tuning method lets large reasoning models maintain accuracy while slashing memory usage during RL training.
