每天自动聚合 AI 领域最新动态
Modern software systems accumulate technical debt over decades of development, which makes migration expensive and la...
Industrial recommender systems commonly use cascaded retrieval, ranking, and re-ranking pipelines. Although efficient...
Procedural video-language models must solve heterogeneous tasks from the same visual evidence, including action recog...
Vision-language-action (VLA) models have become a dominant paradigm for generalist embodied agents, demonstrating str...
LLM-based agents execute multi-step tasks, but their behavioral structure remains opaque: long unstructured traces re...
Concurrent multi-agent coding promises division of labor across modules, robustness through redundancy, and parallel ...
Prompt injection is listed as the \#1 threat to AI agents. When an agent accesses external data from websites, files,...
We study autonomous mathematical discovery in the Station, an open-world multi-agent environment in which AI agents f...
Large language model (LLM) agents coordinate complex tasks through multi-role and multi-stage workflows. Upstream sta...
Large Language Models excel at code generation, yet competitive programming exposes a persistent failure mode: existi...
The Bayesian Ideal Observer (IO) establishes the theoretical upper bound on task performance for binary detection tas...
Brain stroke, known for its high mortality and incidence rates, poses significant health risks and requires rapid int...