5 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 5 cited
Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitation
Yu Wang, Shiwan Zhao, Zhihu Wang +6
The Chain-of-Thought (CoT) paradigm has emerged as a critical approach for enhancing the reasoning capabilities of large language models (LLMs). However, despite their widespread a…
cs.CL2024★ 2 cited
Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives
Zhihu Wang, Shiwan Zhao, Yu Wang +7
The Chain-of-Thought (CoT) paradigm has become a pivotal method for solving complex problems with large language models (LLMs). However, its application to domain-specific tasks re…