338 upvotes · 27 JUL 2026 · Kimi Team, Tongtong Bai, Yifan Bai et al.
This paper introduces Kimi K3, a large-scale, open-source AI model that achieves state-of-the-art performance on a range of tasks, including vision and coding, and is designed to be more efficient and scalable than previous models, making it a promising candidate for real-world applications.
74 upvotes · 6 AUG 2026 · Xingyu Tan, Xiaoyang Wang, Qing Liu et al.
This paper introduces a new technique called SkillZip that helps compress large libraries of skills used by artificial agents, making them more efficient and scalable. Practitioners who work on developing agents that can learn and adapt in complex environments might care about SkillZip because it can improve the performance and efficiency of their agents.
46 upvotes · 30 JUL 2026 · Pengyu Wang, Benfeng Xu, Shaohan Wang et al.
This paper compares the performance of different retrieval-augmented generation (RAG) paradigms at varying corpus sizes, finding that BM25 outperforms others at larger scales, but not at smaller ones, and that lexical retrieval is the strongest scalable default.