WorldSonus: Bringing Sound to Worlds
Recent advances in world models have enabled increasingly realistic visual synthesis. However, these generated environme…
Recent advances in world models have enabled increasingly realistic visual synthesis. However, these generated environme…
Self-improving policies continually expose new failure patterns, changing what their judges must be able to verify. Howe…
Web agents complete user requests by reading and acting on pages that third parties write, so an instruction planted on…
Large language models (LLMs) can solve many narrow tasks, but querying them separately for millions of related instances…
Large language models (LLMs) have become increasingly capable problem solvers, but being able to solve a problem is not…
World models offer a data-driven alternative to traditional simulators for robotics, with applications spanning policy e…
Scientific research often begins by synthesizing ideas from a set of related papers to identify gaps and formulate new d…
Existing methods for 4D hand-object reconstruction often rely on costly per-sequence optimization, while generative appr…
Cannabinoids may intensify anxiety by removing a natural brake on specific neurons in the brain’s fear center, particula…
New research suggests animals could have evolved as early as 800 to 700 million years ago, roughly 200 million years ear…
Scientists discovered that disrupting the chemical messages bacteria use to communicate can push dental plaque toward a…
A study comparing 100 primate species, including humans, suggests that everyday aggression and lethal violence did not e…
Small language models (SLMs) are attractive as local agent controllers because they reduce remote inference, latency, an…
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Organizations automating operational processes need more than a correct outcome: they need to predict how a process will…
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Semantic sensing (SemS) acquires task-relevant information rather than reconstructing complete physical information.Exis…
为什么值得关注:提供了新的研究结果
Large language models (LLMs) equipped with terminal access have demonstrated strong capabilities in automating software…
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LLM-based multi-agent systems (MAS) have demonstrated strong capabilities in solving complex problems across diverse dom…
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Parameter-efficient fine-tuning (PEFT) has become a standard approach for adapting large language models to downstream t…
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Agentic workflows enable large language models (LLMs) to solve complex tasks by coordinating reasoning, tool use, and ve…
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Multi-agent systems are increasingly deployed for complex knowledge work, yet their orchestration layers remain largely…
为什么值得关注:属于技术进展,可能扩散到其他领域