most citedA Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

18 citations · 18 across the 3 of their papers we have counts for

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cs.CL2025

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models

Yingqian Cui, Pengfei He, Jingying Zeng +11

Chain-of-Thought (CoT) reasoning, which breaks down complex tasks into intermediate reasoning steps, has significantly enhanced the performance of large language models (LLMs) on c…

cs.CL2025

Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning

Haoyu Han, Yaochen Xie, Hui Liu +8

Large language models (LLMs) have demonstrated remarkable success across a wide range of tasks; however, they still encounter challenges in reasoning tasks that require understandi…

cs.CL2024★ 18 cited

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Fali Wang, Zhiwei Zhang, Xianren Zhang +11

Large language models (LLMs) have demonstrated emergent abilities in text generation, question answering, and reasoning, facilitating various tasks and domains. Despite their profi…