43 citations · 124 across the 14 of their papers we have counts for
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3 papers · 1 filter
cs.AI2025★ 12 cited
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Kimi Team, Angang Du, Bofei Gao +93
Language model pretraining with next token prediction has proved effective for scaling compute but is limited to the amount of available training data. Scaling reinforcement learni…
cs.AI2023★ 2 cited
What Makes for Robust Multi-Modal Models in the Face of Missing Modalities?
Siting Li, Chenzhuang Du, Yue Zhao +2
With the growing success of multi-modal learning, research on the robustness of multi-modal models, especially when facing situations with missing modalities, is receiving increase…
cs.AI2023★ 13 cited
ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory
Chenxu Hu, Jie Fu, Chenzhuang Du +3
Large language models (LLMs) with memory are computationally universal. However, mainstream LLMs are not taking full advantage of memory, and the designs are heavily influenced by…