🧑‍🔬 Who cites Lingjun Liu

4,260 citations of their works from 3,707 papers of our library (of the 141,840 whose bibliographies we read) · 98 with a page here, the most cited first · ← Lingjun Liu

1. Qwen3 Technical ReportarXiv:2505.09388An Yang, Anfeng Li, Baosong Yang, et al.2025 · 3,276 citations
   A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
2. DAPO: An Open-Source LLM Reinforcement Learning System at ScalearXiv:2503.14476Qiying Yu, Zheng Zhang, Ruofei Zhu, et al.2025 · 634 citations
   s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 584 citations
   Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 517 citations
   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
3. Kimi K2: Open Agentic IntelligencearXiv:2507.20534Kimi Team, Yifan Bai, Yiping Bao, et al.2025 · 331 citations
4. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningarXiv:2503.09516Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 303 citations
5. Understanding R1-Zero-Like Training: A Critical PerspectivearXiv:2503.20783Zichen Liu, Changyu Chen, Wenjun Li, et al.2025 · 266 citations
   Search-o1: Agentic Search-Enhanced Large Reasoning ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaoxi Li, Guanting Dong, Jiajie Jin, et al.2025 · 205 citations
6. LIMO: Less is More for ReasoningarXiv:2502.03387Yixin Ye, Zhen Huang, Yang Xiao, et al.2025 · 204 citations
7. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?arXiv:2504.13837 · NeurIPS 2025 Oral; ICML 2025 AI4MATH workshop best paperYang Yue, Zhiqi Chen, Rui Lu, et al.2025 · 196 citations
8. Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMsarXiv:2412.21187Xingyu Chen, Jiahao Xu, Tian Liang, et al.2024 · 188 citations
   Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 174 citations
   A-MEM: Agentic Memory for LLM AgentsConference on Neural Information Processing Systems (NeurIPS)Wujiang Xu, Zujie Liang, Kai Mei, et al.2025 · 171 citations
9. Group Sequence Policy OptimizationarXiv:2507.18071Chujie Zheng, Shixuan Liu, Mingze Li, et al.2025 · 166 citations
   Large Language Diffusion ModelsConference on Neural Information Processing Systems (NeurIPS)Shen Nie, Fengqi Zhu, Zebin You, et al.2025 · 164 citations
10. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 159 citations
11. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsarXiv:2508.06471Aohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 157 citations
12. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 153 citations
13. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildarXiv:2503.18892Weihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 148 citations
14. Process Reinforcement through Implicit RewardsarXiv:2502.01456Ganqu Cui, Lifan Yuan, Zefan Wang, et al.2025 · 147 citations
15. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsarXiv:2503.01743Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 145 citations
    Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Shenzhi Wang, Le Yu, Chang Gao, et al.2025 · 142 citations
16. R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement LearningarXiv:2503.05592Huatong Song, Jinhao Jiang, Yingqian Min, et al.2025 · 137 citations
17. Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse AttentionarXiv:2502.11089Jingyang Yuan, Huazuo Gao, Damai Dai, et al.2025 · 135 citations
18. Token-Budget-Aware LLM ReasoningarXiv:2412.18547Tingxu Han, Zhenting Wang, Chunrong Fang, et al.2024 · 135 citations
19. OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF FrameworkarXiv:2405.11143Jian Hu, Xibin Wu, Wei Shen, et al.2024 · 132 citations
    Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base ModelConference on Neural Information Processing Systems (NeurIPS)Jingcheng Hu, Yinmin Zhang, Qi Han, et al.2025 · 121 citations
20. DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal DecompositionarXiv:2504.21801Z. Z. Ren, Zhihong Shao, Junxiao Song, et al.2025 · 120 citations
21. L1: Controlling How Long A Reasoning Model Thinks With Reinforcement LearningarXiv:2503.04697Pranjal Aggarwal, Sean Welleck2025 · 119 citations
22. DeepSeek-V4: Towards Highly Efficient Million-Token Context IntelligencearXiv:2606.19348DeepSeek-AI, Anyi Xu, Bangcai Lin, et al.2026 · 117 citations
23. Demystifying Long Chain-of-Thought Reasoning in LLMsarXiv:2502.03373Edward Yeo, Yuxuan Tong, Morry Niu, et al.2025 · 113 citations
24. OpenThoughts: Data Recipes for Reasoning ModelsarXiv:2506.04178Etash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 113 citations
25. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsarXiv:2503.01307Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 110 citations
26. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
    DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world EnvironmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, et al.2025 · 108 citations
    TokenSkip: Controllable Chain-of-Thought Compression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Heming Xia, Chak Tou Leong, Wenjie Wang, et al.2025 · 105 citations
27. Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement LearningarXiv:2502.14768Tian Xie, Zitian Gao, Qingnan Ren, et al.2025 · 103 citations
28. GLM-5: from Vibe Coding to Agentic EngineeringarXiv:2602.15763Aohan Zeng, Xin Lv, Zhenyu Hou, et al.2026 · 89 citations
    OpenCoder: The Open Cookbook for Top-Tier Code Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Siming Huang, Tianhao Cheng, Jason Klein Liu, et al.2025 · 81 citations
29. GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement LearningarXiv:2507.01006GLM-V Team, Wenyi Hong, Wenmeng Yu, et al.2025 · 79 citations
30. LLMs Get Lost In Multi-Turn ConversationarXiv:2505.06120Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, et al.2025 · 77 citations
31. Llama-Nemotron: Efficient Reasoning ModelsarXiv:2505.00949Akhiad Bercovich, Itay Levy, Izik Golan, et al.2025 · 75 citations
    MoBA: Mixture of Block Attention for Long-Context LLMsConference on Neural Information Processing Systems (NeurIPS)Enzhe Lu, Zhejun Jiang, Jingyuan Liu, et al.2025 · 75 citations
    MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Xuan, Rui Yang, Heli Qi, et al.2025 · 74 citations
32. Kimi-VL Technical ReportarXiv:2504.07491Kimi Team, Angang Du, Bohong Yin, et al.2025 · 67 citations
33. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
    CoT-Valve: Length-Compressible Chain-of-Thought TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyin Ma, Guangnian Wan, Runpeng Yu, et al.2025 · 64 citations
34. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 64 citations
35. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 64 citations
36. ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement LearningarXiv:2504.01296Bairu Hou, Yang Zhang, Jiabao Ji, et al.2025 · 64 citations
37. Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement LearningarXiv:2504.13914ByteDance Seed, Jiaze Chen, Tiantian Fan, et al.2025 · 61 citations
38. MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning AttentionarXiv:2506.13585MiniMax, Aili Chen, Aonian Li, et al.2025 · 58 citations
39. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
    New Trends for Modern Machine Translation with Large Reasoning ModelsLanguage Resources and Evaluation Conference (LREC)Sinuo Liu, Chenyang Lyu, Minghao Wu, et al.2026 · 16 citations
40. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningarXiv:2504.01005Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
    Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech DetectionLanguage Resources and Evaluation Conference (LREC)Paloma Piot, David Otero, Patricia Martin-Rodilla, et al.2026 · 5 citations
    ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkLanguage Resources and Evaluation Conference (LREC)Sara Ghaboura, Shubham Patle, Ketan More, et al.2026 · 3 citations
    Culture-Aware Machine Translation in Large Language Models: Benchmarking and InvestigationAnnual Meeting of the Association for Computational Linguistics (ACL)Zekun Yuan, Yangfan Ye, Xiaocheng Feng, et al.2026 · 2 citations
41. Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMsShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2026 · 2 citations
    The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs Using Indian RiddlesLanguage Resources and Evaluation Conference (LREC)Abhinav P M, Ojasva Saxena, Oswald C, et al.2026 · 2 citations
    UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in UrduFindings of the Association for Computational LinguisticsFarah Adeeba, Brian Dillon, Hassan Sajjad, et al.2026 · 2 citations
    Can LLMs Translate Italy's Language Varieties?Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)Edoardo Signoroni, Pavel Rychlý2026 · 1 citation
    Conversational Assistants to Support Patients with Heart Failure: Comparing a Neurosymbolic Architecture with GPTLanguage Resources and Evaluation Conference (LREC)Anuja Tayal, Devika Salunke, Barbara Di Eugenio, et al.2026 · 1 citation
    Datasets for Verb Alternations across Languages: BLM Templates and Data Augmentation StrategiesLanguage Resources and Evaluation Conference (LREC)Giuseppe Samo, Paola Merlo2026 · 1 citation
    GIL-Zaragoza at SemEval 2026 Task 11: Comparing Classification, Autoformalization, and Ontologies for Formal Reasoning CapabilitiesInternational Workshop on Semantic Evaluation (SemEval)Francisco Lopez-Ponce, Lucia Pitarch, Iván Saavedra Martínez, et al.2026 · 1 citation
    Is This Idea Novel? An Automated Benchmark for Judgment of Research IdeasLanguage Resources and Evaluation Conference (LREC)Tim Schopf, Michael Färber2026 · 1 citation
    Reformulate and Create, Don't Translate: Creating Natural Prompts for Underserved LanguagesLanguage Resources and Evaluation Conference (LREC)Annika Simonsen, Mathias Stenlund, Lars Bungum, et al.2026 · 1 citation
    Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual ReasoningConference on Computational Natural Language Learning (CoNLL)Mohit Vaishnav, Tanel Tammet2026 · 1 citation
    Synthetic Function Demonstrations Improve Generation in Low-Resource Programming LanguagesLanguage Resources and Evaluation Conference (LREC)Nick McKenna, Xinnuo Xu, Jack Williams, et al.2026 · 1 citation
    Babies Learn to Look Ahead: Multi-Token Prediction in Small LMsBabyLM WorkshopAnsar Aynetdinov, Alan Akbik2025 · 1 citation
42. HAMSA: Hijacking Aligned Compact Models via Stealthy AutomationarXiv:2508.16484Alexey Krylov, Iskander Vagizov, Dmitrii Korzh, et al.2025 · 1 citation
43. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Acta Automatica Sinica (自动化学报)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026
    AmDi - Ambiguous Words Diachronic DatasetLanguage Resources and Evaluation Conference (LREC)Felix Thielen, Kai Kugler2026
44. AraDynFact: Dynamic Evaluation of Factual Knowledge in ArabicarXiv:2609.35461Ignacio Iacobacci, Faroq Altam, Zhaozhi Qian, et al.2026
    Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual AugmentationLanguage Resources and Evaluation Conference (LREC)Kaveh Eskandari Miandoab, Mahammed Kamruzzaman, Arshia Gharooni, et al.2026
    DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised DistillationLanguage Resources and Evaluation Conference (LREC)Tom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher, et al.2026
    Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order PerturbationsLanguage Resources and Evaluation Conference (LREC)Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.2026
    E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference DatasetsIEEE AccessKhloud AL Jallad, Nada Ghneim, Ghaida Rebdawi2026
    GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and GeneratorsLanguage Resources and Evaluation Conference (LREC)Manuel Schaaf, Kevin Bönisch, Alexander Mehler2026
45. Harm or Humor: A Multimodal, Multilingual Benchmark for Overt and Covert Harmful HumorarXiv:2603.17759Ahmed Sharshar, Hosam Elgendy, Saad El Dine Ahmed, et al.2026
    Hindsight Quality Prediction Experiments in Multi-Candidate Human-Post-Edited Machine TranslationLanguage Resources and Evaluation Conference (LREC)Malik Marmonier, Benoît Sagot, Rachel Bawden2026
    ID10M-JAM: Stress-Testing Idiom Identification Under Challenging ContextFindings of the Association for Computational LinguisticsKai Golan Hashiloni, Lior Livyatan, Ofri Hefetz, et al.2026
46. Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource LanguagesNoam Dahan, Omer Kidron, Gabriel Stanovsky2026
47. Meaning Over Morphology: A Multi-Metric Benchmark of LLMs for Bangla Dialect TranslationProceedings of the First Workshop on Dialects in NLP –- A Resource PerspectiveSoumik Deb Niloy, Subhey Sadi Rahman, Mahbub E Sobhani, et al.2026
    mSCoRe: A Multilingual and Scalable Benchmark for Skill-based Commonsense ReasoningLanguage Resources and Evaluation Conference (LREC)Nghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen2026
    Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.2026
    Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesLanguage Resources and Evaluation Conference (LREC)Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026
    Quantifying Metric and Model Agreement in Bias Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arash Asgari, Huan Wu, Amirreza Naziri, et al.2026
    Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text SimplificationFindings of the Association for Computational LinguisticsPeng Zhou, Guangxin Li, Xiaoying Huang, et al.2026
    SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent SpaceConference of the European Chapter of the Association for Computational Linguistics (EACL)Viktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al.2026
    Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity DetectionLanguage Resources and Evaluation Conference (LREC)Dylan Phelps, Rodrigo Wilkens, Edward Gow-Smith, et al.2026
    STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across DomainsLanguage Resources and Evaluation Conference (LREC)Daniel Steinigen, Lucie Flek, Sebastian Houben2026
48. The Surge of Anti-Semitism in German Social Media following the October 7 AttacksarXiv:2609.36290Gregor Wiedemann, Daniel Wehrend2026
    Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral VignettesLanguage Resources and Evaluation Conference (LREC)Quintin Myers, Yanjun Gao2026
    When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented DialogueAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Mohammad Alijanpour Shalmani, Alale Rezvani Boroujeni, Jiann S. Yuan2026
49. Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)Acta Automatica Sinica (自动化学报)Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.2025

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