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cs.CL2025
Chain of Methodologies: Scaling Test Time Computation without Training
Cong Liu, Jie Wu, Weigang Wu +3
Large Language Models (LLMs) often struggle with complex reasoning tasks due to insufficient in-depth insights in their training data, which are typically absent in publicly availa…
cs.CL2024
Cool-Fusion: Fuse Large Language Models without Training
Cong Liu, Xiaojun Quan, Yan Pan +3
We focus on the problem of fusing two or more heterogeneous large language models (LLMs) to leverage their complementary strengths. One of the challenges of model fusion is high co…