🔗 Who cites «Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models»

48 papers of our library cite it (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← back to «Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models»

1. A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and ApplicationsarXiv:2402.07927Pranab Sahoo; Ayush Kumar Singh; Sriparna Saha; Vinija Jain; Samrat Mondal;, Aman Chadha2024 · 375 citations
2. Multi-Step Reasoning with Large Language Models, a SurveyACM Computing SurveysAske Plaat, Annie Wong, Suzan Verberne, et al.2024 · 106 citations
3. AFlow: Automating Agentic Workflow GenerationarXiv:2410.10762Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, et al.2024 · 95 citations
4. Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM ReasoningarXiv:2412.09078Zhenni Bi, Kai Han, Chuanjian Liu, et al.2024 · 43 citations
5. Dynamic Cheatsheet: Test-Time Learning with Adaptive MemoryConference of the European Chapter of the Association for Computational Linguistics (EACL)Mirac Suzgun, Mert Yuksekgonul, Federico Bianchi, et al.2026 · 37 citations
6. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language ModelsarXiv:2503.24377Rui Wang, Hongru Wang, Boyang Xue, et al.2025 · 16 citations
7. PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem SolvingConference on Empirical Methods in Natural Language Processing (EMNLP)Mihir Parmar, Xin Liu, Palash Goyal, et al.2025 · 16 citations
8. ChemAgent: Self-updating Library in Large Language Models Improves Chemical ReasoningarXiv:2501.06590Xiangru Tang, Tianyu Hu, Muyang Ye, et al.2025 · 15 citations
9. Stepwise Reasoning Disruption Attack of LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyu Peng, Maolin Wang, Xiangyu Zhao, et al.2025 · 10 citations
10. TemplateRL: Structured Template-Guided Reinforcement Learning for LLM ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Chonghua Liao, Mingkuan Feng, et al.2026 · 8 citations
11. CER: Confidence Enhanced Reasoning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ali Razghandi, Seyed Mohammad Hadi Hosseini, Mahdieh Soleymani Baghshah2025 · 8 citations
12. MetaScale: Test-Time Scaling with Evolving Meta-ThoughtsFindings of the Association for Computational LinguisticsQin Liu, Wenxuan Zhou, Nan Xu, et al.2026 · 7 citations
13. Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?International Joint Conference on Natural Language Processing (IJCNLP)Kai Yan, Yufei Xu, Zhengyin Du, et al.2025 · 5 citations
14. Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqing Zhuang, Linhai Zhang, Jiasheng Si, et al.2026 · 1 citation
15. Thinking with Reasoning Skills: Fewer Tokens, More AccuracyAnnual Meeting of the Association for Computational Linguistics (ACL)Guangxiang Zhao, Qilong Shi, Xusen Xiao, et al.2026 · 1 citation
16. Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinyang Wu, Mingkuan Feng, Shuai Zhang, et al.2026
17. Experience is the Teacher: Reusing Atomic Thoughts from LLMs to Improve Medical DialogueFindings of the Association for Computational LinguisticsGuangya Yu, Hui Luo, Qi Ye, et al.2026
18. Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Zexu Sun, Yongcheng Zeng, Erxue Min, et al.2026
19. MAGNET: Towards Adaptive GUI Agents with Memory-Driven Knowledge EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Libo Sun, Jiwen Zhang, Siyuan Wang, et al.2026
20. STCOR: A Trilevel Syllogism-Driven Reasoning FrameworkWorkshop on Argument MiningKeying Yang, Hao Wang, Chengtao Jian, et al.2026
21. When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math ReasoningFindings of the Association for Computational LinguisticsRuotao Xu, Yixin Ji, Yu Luo, et al.2026

27 more papers of our library cite it; they have no page here yet.

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