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Understand new AI research with readable explanations and links to the original papers.
You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference Choosing an LLM for a request is only part of the deployme...
Video-RSI: Recursive Self-Improvement of Video Understanding Agents via Harness Evolution Video-RSI explores whether a video-understanding agent can improve...
What the paper is about Current vision-language models (VLMs) encode visual information in dense hidden states where object identity, spatial layout, and loc...
Diagnosing and Improving Probabilistic Reasoning in Large Language Models Large language models are increasingly asked not only to estimate what might be tru...
GRFBrain: Graph-Structured Rectified Flows for EEG Dynamic Modeling EEG patterns are not confined to individual electrodes: important events such as seizures...
What the paper is about As agents take on longer and more complex problems, controlling the execution becomes a task in its own right.
Can a Cacheable Decision Model Follow Rules? Many AI systems generate an answer and then extract a decision from it.
What the paper is about An agent skill is a reusable, actionable natural-language artifact that guides an agent to perform a task effectively under a given h...
PE-EK-PINN: Physics Embedding with Evolving Kernel for Scalable Physics-Informed Neural Networks Physics-informed neural networks (PINNs) can solve wave equa...
What the paper is about Interactive agent benchmarks and multi-turn reinforcement learning increasingly place a second language model in the role of the user...
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