The value of information and the emergence of communication in evolved e-puck robots
We study when communication emerges between autonomous agents and what role an innate action selection architecture p...
每天自动聚合 AI 领域最新动态
We study when communication emerges between autonomous agents and what role an innate action selection architecture p...
Decoder hidden states from different layers of large language models (LLMs) often encode complementary information. H...
Computer-use agents (CUAs) are rapidly improving, yet synthesizing diverse and reliable software environments at scal...
Biological reasoning models use post-training to connect LLMs to biological foundation model representations and biol...
Computer-use agents can perform increasingly complex GUI tasks, yet unfamiliar software and workflows requiring human...
Power sampling improves large language model (LLM) reasoning at test time by sampling from a sharpened version of the...
Adversarial games have driven advances from heuristic search to reinforcement learning, yet learning and adapting str...
Large-scale egocentric human interaction data is becoming an important source of physical supervision for embodied le...
Data video is a media form that integrates data visualization with video narrative, widely adopted in news reporting ...
Skeleton-based reasoning prompting is a promising training-free approach for structuring LLM reasoning, but prior wor...
Drag-based image editing provides an intuitive interface for spatially controlled image manipulation by allowing user...
Speculative decoding accelerates large language model inference by using a lightweight drafter to propose multiple to...