Financial AI agents must do more than retrieve facts: investment workflows require correct quantitative execution, relia…
为什么值得关注：属于技术进展，可能扩散到其他领域
Contactless heart-rate sensing with millimeter-wave (mmWave) radar requires assessing whether individual measurements su…
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We introduce HyperBrowseComp, a multilingual and multimodal browsing benchmark comprising 423 manually authored and huma…
为什么值得关注：属于技术进展，可能扩散到其他领域
Diffusion Transformers (DiTs) can generate high-quality images and videos, but generating each sample requires multiple…
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Security benchmarks for LLM-based agents often report the attack success rate (ASR) as a measure of model robustness and…
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Understanding and assessing natural hazards is essential for disaster preparedness and risk reduction.Recent advances in…
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Reinforcement learning (RL) is increasingly used for financial optimal-control problems when complex dynamics make analy…
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Continuous emotion regression estimates moment-to-moment valence and arousal while a viewer watches a video.In familiar-…
为什么值得关注：提供了新的研究结果
The recent wave of one-step generative models, which compress the multi-step trajectory of diffusion via either distilla…
为什么值得关注：提供了新的研究结果
Designing a scientific instrument tests whether language-model agents can do physics rather than recall it, provided the…
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Terminal-using agents benefit from reinforcement learning (RL) in coding, debugging, and other multi-step terminal tasks…
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Camera-controlled video models are rapidly advancing toward long generation horizons and complex camera control.A key fa…
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Large language models (LLMs) are increasingly used to support legal practice, education, and research, yet their reliabi…
为什么值得关注：提供了新的研究结果
Marine ecosystems are impacted by various threats such as oil spills, algal blooms, and sediment floods, which disrupt h…
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Dense-retrieval services must switch among embedding-prefix dimensions and index bit rates as latency, quality, and memo…
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Multi-pitch estimation in vocal ensembles is challenging because singers occupy overlapping pitch ranges and often sing…
为什么值得关注：提供了新的研究结果
LLM-guided evolutionary methods, such as AlphaEvolve, have emerged as powerful approaches for challenging computational…
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Scarcity of labeled data limits development of deep learning biomarkers in oncology.We develop a two-stage AI model pred…
为什么值得关注：提供了新的研究结果
Inspired by human vision, we introduce a framework using active gaze to enable fine-grained bimanual manipulation with o…
为什么值得关注：提供了新的研究结果
Continual learning treats degradation on previously seen data as evidence of failure, a convention inherited from settin…
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