From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench
In real-world software development, code review typically involves iterative interactions between developers and revi...
每天自动聚合 AI 领域最新动态
In real-world software development, code review typically involves iterative interactions between developers and revi...
To improve large language models' ability to resolve real-world software issues, prior work has focused on constructi...
Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities. R...
LLM agents increasingly rely on generated interaction data to learn how to interact with external environments. Agent...
Modern game development relies heavily on conventional graphics pipelines. High-quality visual content requires model...
Evolution Strategies (ES) have recently emerged as a memory-efficient post-training paradigm for LLM reasoning. Howev...
On-policy distillation (OPD), which leverages a pre-trained, specialized teacher model to provide dense supervisory s...
Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities. R...
Zero-shot cross-task generalization, where a policy must execute manipulation tasks never seen during training, remai...
Multimodal large language models (MLLMs) can interpret a street view, but urban agency depends on whether such local ...
Recent video generation models are increasingly framed as world models. Many physical processes can unfold in more th...
Large-scale vision-language models (VLMs) have demonstrated remarkable versatility across a wide range of multimodal ...