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cs.CL2025
Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs
Zhipeng Yang, Junzhuo Li, Siyu Xia +1
We show that large language models (LLMs) exhibit an : they sequentially decompose and execute composite tasks layer-by-layer. Two claims ground…
cs.CL2025
Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis
Junzhuo Li, Bo Wang, Xiuze Zhou +3
The interpretability of Mixture-of-Experts (MoE) models, especially those with heterogeneous designs, remains underexplored. Existing attribution methods for dense models fail to c…