Tongtong Bai

Tongtong Bai has 2 papers in our library, in 2026; often with H.S. Che, Kimi Team, Y. Charles.

2 papers in our library · 2026

The profile is the library's match of the name; two people with one name are not always told apart.

Fields, topics and concepts

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

Kimi K2.5: Visual Agentic Intelligence (2026 · 66 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…
Kimi K3: Open Frontier Intelligence (2026 · 40 citations)
Open-weight LLMs have advanced quickly in reinforcement learning and test-time reasoning. However, most still sit near the 1T-parameter scale, so their pre-trained base models fall behind proprietary systems. Kimi K3 scales both pre-training and RL. It is a natively multimodal Mixture-of-Experts model with 2.8T total…

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

Papers of our library cite their works 102 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated 31 October 2026