…vision foundation models remains challenging due to inconsistent evaluation protocols and limited part-level supervision . Semantic correspondence (SC) evaluates this capability by testing whether object parts can be matched across instances and…
…AI-generated summary Agentic large language model systems have demonstrated strong capabilities. However, their reliance on language as the universal interface fundamentally limits their applicability to many real-world problems, especially in…
…AI-generated summary Integrating molecular, morphological, and clinical data is essential for basic and translational biomedical research, yet systematic frameworks for jointly modeling these modalities remain limited. Here we present Haiku, a…
…AI-generated summary Distributed blackbox consensus optimization is a fundamental problem in multi-agent systems, where agents must improve a global objective using only local objective queries and limited neighbor communication. Existing…
…Existing methods face fundamental limitations: LLM-based approaches lack retrieval -compatible vector outputs, whereas text embedding models often fail to capture tabular structure and numerical semantics. To bridge this gap, we first…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reusable skills are a key mechanism for extending agent capabilities, allowing agents to accumulate experience and solve increasingly complex tasks. Yet most existing skill…
…where does this capability break down, and why? We present KernelBench-X , a benchmark designed to answer this question through category-aware evaluation of correctness and hardware efficiency across 176 tasks in…
…We propose ExoActor, a novel framework that leverages the generalization capabilities of large-scale video generation models to address this problem. The key insight in ExoActor is to use third-person video…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct The rapid progress of frontier large language models has led to widespread benchmark saturation , limiting the ability of existing datasets to differentiate model capabilities…
…However, existing medical agent benchmarks primarily evaluate final outputs, providing limited visibility into agent behavior within the research process. To address this gap, we present AutoMedBench, a workflow-aware benchmark for autonomous…