🧑‍🔬 Y. Charles

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Kimi K2: Open Agentic Intelligence (2025 · 331 citations)
   This technical report addresses two obstacles to building agentic LLMs. High-quality pre-training data is scarce, so the learning signal extracted per token matters more. Examples of multi-step planning and tool use are also rare in natural text. The Kimi Team's answer is Kimi K2, a sparse Mixture-of-Experts model…
2. Kimi K2.5: Visual Agentic Intelligence (2026 · 58 citations)
   Kimi K2.5 addresses two weaknesses of current agentic LLMs. Vision is often added to a text model late in training, and agents usually run tool calls one after another, so latency grows with task size. Built on Kimi K2, the model is jointly pre-trained on roughly 15 trillion mixed text and visual tokens. Vision is…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Kimi K2: Open Agentic IntelligencearXiv:2507.20534Kimi Team, Yifan Bai, Yiping Bao, et al.2025 · 331 citations
2. Kimi K2.5: Visual Agentic IntelligencearXiv:2602.02276Kimi Team, Tongtong Bai, Yifan Bai, et al.2026 · 58 citations
3. Kimi K3: Open Frontier Intelligence ↗arXiv:2607.24653 · no summary yetKimi Team et al.2026 · 36 citations

🤝 Co-authors here

8 co-authors with a page, the most papers together first.

• Cheng Chen ×2
• Guanduo Chen ×2
• Huarong Chen ×2
• Kimi Team ×2
• Yifan Bai ×2
• Yiping Bao ×2
• Jiahao Chen
• Yuan Cao

🔗 Cited by

Papers of our library cite their works 461 times (of the 141,840 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated 24 October 2026

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