🧑‍🔬 Who cites Litu Ou

319 citations of their works from 310 papers of our library (of the 141,840 whose bibliographies we read) · 26 with a page here, the most cited first · ← Litu Ou

1. A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,641 citations
2. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
3. MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding BenchmarkConference on Neural Information Processing Systems (NeurIPS)Yubo Wang, Xueguang Ma, Ge Zhang, et al.2024 · 731 citations
4. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsarXiv:2309.12284Longhui Yu, Weisen Jiang, Han Shi, et al.2023 · 556 citations
5. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.2023 · 494 citations
6. A Survey on Model Compression for Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Xunyu Zhu, Jian Li, Yong Liu, et al.2024 · 381 citations
7. Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 335 citations
8. LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, et al.2023 · 335 citations
9. Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsarXiv:2308.01825Zheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 252 citations
10. ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem SolvingarXiv:2309.17452Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 222 citations
11. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentarXiv:2308.05374Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 220 citations
12. Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingarXiv:2306.01693Zeqiu Wu, Yushi Hu, Weijia Shi, et al.2023 · 212 citations
13. LawBench: Benchmarking Legal Knowledge of Large Language ModelsarXiv:2309.16289Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 186 citations
14. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
15. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Justin Chen, Swarnadeep Saha, Mohit Bansal2024 · 154 citations
16. SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language ModelsarXiv:2307.10635Xiaoxuan Wang, Ziniu Hu, Pan Lu, et al.2023 · 149 citations
17. The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Seungone Kim, Se Joo, Doyoung Kim, et al.2023 · 116 citations
18. Aligning Language Models to User OpinionsFindings of the Association for Computational LinguisticsEunJeong Hwang, Bodhisattwa Majumder, Niket Tandon2023 · 90 citations
19. ADaPT: As-Needed Decomposition and Planning with Language ModelsFindings of the Association for Computational LinguisticsArchiki Prasad, Alexander Koller, Mareike Hartmann, et al.2024 · 85 citations
20. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
21. Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought ReasoningFindings of the Association for Computational LinguisticsDebjit Paul, Robert West, Antoine Bosselut, et al.2024 · 77 citations
22. The Unreasonable Ineffectiveness of the Deeper LayersarXiv:2403.17887Andrey Gromov, Kushal Tirumala, Hassan Shapourian, et al.2024 · 69 citations
23. Contrastive Decoding Improves Reasoning in Large Language ModelsarXiv:2309.09117Sean O'Brien, Mike Lewis2023 · 67 citations
24. Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language ModelsFindings of the Association for Computational LinguisticsZehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 63 citations
25. Kimi K2.5: Visual Agentic IntelligencearXiv:2602.02276Kimi Team, Tongtong Bai, Yifan Bai, et al.2026 · 58 citations
26. Reason-to-Learn (R2L): Multi-Agent Knowledge Distillation for Lightweight LLMs in Sentiment AnalysisLanguage Resources and Evaluation Conference (LREC)Le-Huy Tu, Quan Nguyen, Vincent NGUYEN, et al.2026

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