🧑‍🔬 Who cites Xiang Liu

170 citations of their works from 169 papers of our library (of the 149,439 whose bibliographies we read) · 41 with a page here, the most cited first · ← Xiang Liu

1. Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateConference on Empirical Methods in Natural Language Processing (EMNLP)Tian Liang, Zhiwei He, Wenxiang Jiao, et al.2023 · 651 citations
2. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 citations
3. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
4. 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
5. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingarXiv:2305.11738Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 326 citations
6. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
7. Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP ResearchersarXiv:2409.04109Chenglei Si, Diyi Yang, Tatsunori Hashimoto2024 · 196 citations
8. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
9. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
10. Iterative Reasoning Preference OptimizationConference on Neural Information Processing Systems (NeurIPS)Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, et al.2024 · 153 citations
11. CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data AnnotationConference on Empirical Methods in Natural Language Processing (EMNLP)Minzhi Li, Taiwei Shi, Caleb Ziems, et al.2023 · 101 citations
12. Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the ArtTransactions of the Association for Computational Linguistics (TACL)Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen2025 · 90 citations
13. Fairness-guided Few-shot Prompting for Large Language ModelsarXiv:2303.13217Huan Ma, Changqing Zhang, Yatao Bian, et al.2023 · 64 citations
14. Culture is Not Trivia: Sociocultural Theory for Cultural NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Naitian Zhou, David Bamman, Isaac L. Bleaman2025 · 33 citations
15. Linguistic Generalizability of Test-Time Scaling in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Guijin Son, Jiwoo Hong, Hyunwoo Ko, et al.2025 · 24 citations
16. From Selection to Generation: A Survey of LLM-based Active LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, et al.2025 · 22 citations
17. SLAM: Towards Efficient Multilingual Reasoning via Selective Language AlignmentInternational Conference on Computational Linguistics (COLING)Yuchun Fan, Yongyu Mu, YiLin Wang, et al.2025 · 20 citations
18. Automatic Combination of Sample Selection Strategies for Few-Shot LearningFindings of the Association for Computational LinguisticsBranislav Pecher, Ivan Srba, Maria Bielikova, et al.2026 · 15 citations
19. Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2026 · 11 citations
20. Understanding LLM Reasoning for Abstractive SummarizationFindings of the Association for Computational LinguisticsHaohan Yuan, Haopeng Zhang2026 · 11 citations
21. Could Thinking Multilingually Empower LLM Reasoning?arXiv:2504.11833Changjiang Gao, Xu Huang, Wenhao Zhu, et al.2025 · 10 citations
22. Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language ModelsarXiv:2506.05850Cheonbok Park; Jeonghoon Kim; Joosung Lee; Sanghwan Bae; Jaegul Choo;, Kang Min Yoo2025 · 10 citations
23. AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval AlignmentInternational Conference on Computational Linguistics (COLING)Yilong Lai, Jialong Wu, Congzhi Zhang, et al.2025 · 9 citations
24. Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-TuningInternational Conference on Computational Linguistics (COLING)Jing Bi, Yuting Wu, Weiwei Xing, et al.2025 · 8 citations
25. ICLEval: Evaluating In-Context Learning Ability of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Wentong Chen, Yankai Lin, ZhenHao Zhou, et al.2025 · 7 citations
26. MPO: Multilingual Safety Alignment via Reward Gap OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Weixiang Zhao, Yulin Hu, Yang Deng, et al.2025 · 7 citations
27. GCoT-Decoding: Unlocking Deep Reasoning Paths for Universal Question AnsweringFindings of the Association for Computational LinguisticsGuanran Luo, Wentao Qiu, Zhongquan Jian, et al.2026 · 6 citations
28. CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Eric Onyame, Akash Ghosh, Subhadip Baidya, et al.2026 · 5 citations
29. ExpLang: Improved Exploration and Exploitation in LLM Reasoning with On-Policy Thinking Language SelectionarXiv:2602.21887Changjiang Gao, Zixian Huang, Kaichen Yang, et al.2026 · 4 citations
30. SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive ThinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Weiyang Huang, Xuefeng Bai, Kehai Chen, et al.2026 · 3 citations
31. AI for Climate Finance: Agentic Retrieval and Multi-Step Reasoning for Early Warning System InvestmentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Ario Saeid Vaghefi, Aymane Hachcham, Veronica Grasso, et al.2026 · 2 citations
32. Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge FrameworkFindings of the Association for Computational LinguisticsYibo Yan, Mingdong Ou, Yi Cao, et al.2026 · 2 citations
33. x1: Learning to Think Adaptively Across Languages and CulturesFindings of the Association for Computational LinguisticsYangfan Ye, Xiaocheng Feng, Xiachong Feng, et al.2026 · 1 citation
34. CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical ReasoningFindings of the Association for Computational LinguisticsZhuo Wang, Zhuo Zhang, Yafu Li, et al.2026
35. EduPulse: A Practical LLM-Enhanced Opinion Mining System for Vietnamese Student Feedback in Educational PlatformsConference of the European Chapter of the Association for Computational Linguistics (EACL)Xuan Phuc Nguyen, Xuan Phi Nguyen, Vinh Tiep Nguyen, et al.2026
36. LaCoMSA: Language-Consistency Multilingual Self-Alignment with Latent Representation RewardingConference of the European Chapter of the Association for Computational Linguistics (EACL)Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen2026
37. M²PO: Multi-Perspective Multi-Pair Preference Optimization for Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Linlong Xu, Heng Liu, et al.2026
38. On LLM Prompting Techniques for Arabic Language Arithmetic ReasoningWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksReem Alenezi, Ayed Atallah Salman2026
39. Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Wang, Van Bach Nguyen, Yihong Liu, et al.2026
40. TeleAI at SemEval-2026 Task 6: A Confidence-Aware Multi-Stage Reasoning Framework with Chain-of-ThoughtInternational Workshop on Semantic Evaluation (SemEval)Lingling Shi, Haoyu Jin, Shiquan Wang, et al.2026
41. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM PerformanceFindings of the Association for Computational LinguisticsWilliam Watson, Nicole Cho, Sumitra Ganesh, et al.2026

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