RNA function arises from the coupling of nucleotide sequence and three-dimensional structure, motivating their joint des…
为什么值得关注：属于技术进展，可能扩散到其他领域
Recursive self-improvement, the participation of AI systems in improving their own capabilities, is beginning to move fr…
为什么值得关注：属于技术进展，可能扩散到其他领域
Text prompting is an indirect interface for poster generation, requiring users to encode inherently two-dimensional comp…
为什么值得关注：属于技术进展，可能扩散到其他领域
In text-guided image editing, describing the desired change is often straightforward, but identifying the intended objec…
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Bayesian neural network predictions are commonly approximated using a fixed number of Monte Carlo samples per input, wit…
为什么值得关注：提供了新的研究结果
Black-box optimization (BBO) arises in many scientific and engineering problems where objective evaluations are expensiv…
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Very-high-resolution Earth-observation satellites acquire more data than they can store and downlink, while in maritime…
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Recursive self-improvement (RSI) of a model on non-verifiable tasks, such as open-ended research, faces a supervision bo…
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Learning how actions change scene geometry can provide complementary supervision for goal-directed manipulation.We intro…
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We introduce a self-improvement loop for reasoning models based on the following observation: Even when the difficulty o…
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Existing methods for 4D hand-object reconstruction often rely on costly per-sequence optimization, while generative appr…
Scientific research often begins by synthesizing ideas from a set of related papers to identify gaps and formulate new d…
World models offer a data-driven alternative to traditional simulators for robotics, with applications spanning policy e…
Large language models (LLMs) have become increasingly capable problem solvers, but being able to solve a problem is not…
Large language models (LLMs) can solve many narrow tasks, but querying them separately for millions of related instances…
Web agents complete user requests by reading and acting on pages that third parties write, so an instruction planted on…
Self-improving policies continually expose new failure patterns, changing what their judges must be able to verify. Howe…
Recent advances in world models have enabled increasingly realistic visual synthesis. However, these generated environme…
Sequential recommenders typically use a fixed slate size even though the number of useful alternatives changes within a…
Egocentric human data offer a path to scaling robot learning beyond costly robot demonstrations, yet the embodiment gap…