CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

Feiyang Li; Peng Fang; Zhan Shi; Arijit Khan; Fang Wang; Weihao Wang; Xin Zhang; Yongjian Cui

doi:10.18653/v1/2025.findings-emnlp.168

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

Feiyang Li
, Peng Fang
, Zhan Shi
, Arijit Khan
, Fang Wang
, Weihao Wang
, Xin Zhang
, Yongjian Cui

Bowling Green State University

Huazhong University of Science and Technology
Aalborg University
Huawei Technologies Co., Ltd.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025
Editors	Christos Christodoulopoulos, Tanmoy Chakraborty, Carolyn Rose, Violet Peng
Publisher	Association for Computational Linguistics (ACL)
Pages	3119-3171
Number of pages	53
ISBN (Electronic)	9798891763357
DOIs	https://doi.org/10.18653/v1/2025.findings-emnlp.168
State	Published - 2025
Event	30th Conference on Empirical Methods in Natural Language Processing, EMNLP 2025 - Suzhou, China Duration: Nov 4 2025 → Nov 9 2025

Publication series

Name	EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025

Conference

Conference	30th Conference on Empirical Methods in Natural Language Processing, EMNLP 2025
Country/Territory	China
City	Suzhou
Period	11/4/25 → 11/9/25

ASJC Scopus Subject Areas

Computational Theory and Mathematics
Computer Science Applications
Information Systems
Linguistics and Language

Access to Document

10.18653/v1/2025.findings-emnlp.168

Cite this

Li, F., Fang, P., Shi, Z., Khan, A., Wang, F., Wang, W., Zhang, X., & Cui, Y. (2025). CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models. In C. Christodoulopoulos, T. Chakraborty, C. Rose, & V. Peng (Eds.), EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025 (pp. 3119-3171). (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2025.findings-emnlp.168

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models. / Li, Feiyang; Fang, Peng; Shi, Zhan et al.
EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025. ed. / Christos Christodoulopoulos; Tanmoy Chakraborty; Carolyn Rose; Violet Peng. Association for Computational Linguistics (ACL), 2025. p. 3119-3171 (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, F, Fang, P, Shi, Z, Khan, A, Wang, F, Wang, W, Zhang, X & Cui, Y 2025, CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models. in C Christodoulopoulos, T Chakraborty, C Rose & V Peng (eds), EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025. EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025, Association for Computational Linguistics (ACL), pp. 3119-3171, 30th Conference on Empirical Methods in Natural Language Processing, EMNLP 2025, Suzhou, China, 11/4/25. https://doi.org/10.18653/v1/2025.findings-emnlp.168

Li F, Fang P, Shi Z, Khan A, Wang F, Wang W et al. CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models. In Christodoulopoulos C, Chakraborty T, Rose C, Peng V, editors, EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025. Association for Computational Linguistics (ACL). 2025. p. 3119-3171. (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025). doi: 10.18653/v1/2025.findings-emnlp.168

Li, Feiyang ; Fang, Peng ; Shi, Zhan et al. / CoT-RAG : Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models. EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025. editor / Christos Christodoulopoulos ; Tanmoy Chakraborty ; Carolyn Rose ; Violet Peng. Association for Computational Linguistics (ACL), 2025. pp. 3119-3171 (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025).

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CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

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Conference

ASJC Scopus Subject Areas

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