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cs.CL2026
Retrieve, Integrate, and Synthesize: Spatial-Semantic Grounded Latent Visual Reasoning
Jin Cui, Xinyue Long, Xunyong Zhang +5
Multimodal Large Language Models (MLLMs) have made remarkable progress on vision-language reasoning, yet most methods still compress visual evidence into discrete textual thoughts,…
cs.CL2026★ 2 cited
Kimi K2.5: Visual Agentic Intelligence
Kimi Team, Tongtong Bai, Yifan Bai +333
We introduce Kimi K2.5, an open-source multimodal agentic model designed to advance general agentic intelligence. K2.5 emphasizes the joint optimization of text and vision so that…
cs.CL2025
SelecTKD: Selective Token-Weighted Knowledge Distillation for LLMs
Haiduo Huang, Jiangcheng Song, Yadong Zhang +1
Knowledge distillation (KD) is a standard route to compress Large Language Models (LLMs) into compact students, yet most pipelines uniformly apply token-wise loss regardless of tea…