每天自动聚合 AI 领域最新动态
A fundamental challenge for explainable and accountable language models is revealing how external information influen...
For agentic data analysis, language-model agents often require a large number of annotated tasks to learn how to inte...
Sparse autoencoders (SAEs) decompose language model activations into sparse features, but prompt transformations desi...
Modern image generation largely relies on specialized generative models that leave the process of image construction ...
Recursive self-improvement (RSI) requires an agentic system to design, train, and evaluate its own successor. Data-dr...
Humans reason about the physical world by flexibly combining different forms of inference as a problem unfolds. Achie...
Low-cost arms such as the SO-101 have become the most common entry point to robot learning, yet no released policy pe...
Large language models have shown outstanding performance on text-first tasks such as coding, math, and writing. Recen...
Visual search is ubiquitous in daily life, from locating keys in a messy apartment to finding a tool in a cluttered w...
Mental-health risks such as depression, dementia, and suicidal ideation can emerge during hospitalization among chron...
Item-item similarity is one of the oldest and most foundational signals in recommender systems: two items are assumed...
Root cause analysis (RCA) of microservice failures has attracted many LLM agents whose investigation is hand-crafted,...