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20242026
most citedIs Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens

5 citations · 7 across the 3 of their papers we have counts for

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cs.AI20265 cited

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens

Chengshuai Zhao, Zhen Tan, Pingchuan Ma +5

Chain-of-Thought (CoT) prompting has been shown to be effective in eliciting structured reasoning (i.e., CoT reasoning) from large language models (LLMs). Regardless of its popular…

cs.AI2025

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge

Dawei Li, Bohan Jiang, Liangjie Huang +10

Assessment and evaluation have long been critical challenges in artificial intelligence (AI) and natural language processing (NLP). Traditional methods, usually matching-based or s…

cs.AI2025

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs

Tianqi Shang, Shu Yang, Weiqing He +7

Growing evidence suggests that social determinants of health (SDoH), a set of nonmedical factors, affect individuals' risks of developing Alzheimer's disease (AD) and related demen…

cs.AI2025

CausalEval: Towards Better Causal Reasoning in Language Models

Longxuan Yu, Delin Chen, Siheng Xiong +6

Causal reasoning (CR) is a crucial aspect of intelligence, essential for problem-solving, decision-making, and understanding the world. While language models (LMs) can generate rat…

cs.AI2024

SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents

Dawei Li, Zhen Tan, Peijia Qian +4

While multi-agent systems have been shown to significantly enhance the performance of Large Language Models (LLMs) across various tasks and applications, the dense interaction betw…

cs.AI2024

Exploring Large Language Models for Feature Selection: A Data-centric Perspective

Dawei Li, Zhen Tan, Huan Liu

The rapid advancement of Large Language Models (LLMs) has significantly influenced various domains, leveraging their exceptional few-shot and zero-shot learning capabilities. In th…