🐂 牛哥精选

CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training

最新研究系统评估了大模型后训练中的“灾难性遗忘”，为提升模型持续学习能力提供关键方法论。

arXiv:2603.06610v2 Announce Type: replace Abstract: Large language model (LLM) post-training enhances latent skills, unlocks value alignment, improves…

Capturing LLM Capabilities via Evidence-Calibrated Query Clustering

通过证据校准的查询聚类精准捕捉大模型能力边界，为LLM评估提供全新方法论。

arXiv:2605.17110v1 Announce Type: cross Abstract: Query clustering organizes queries into groups that reflect shared latent capability demands, enabli…

GPT-4o System Card

OpenAI官方发布GPT-4o系统卡，详解模型能力与安全评估