🧑‍🔬 Who cites Bokai Xu

424 citations of their works from 424 papers of our library (of the 149,439 whose bibliographies we read) · 99 with a page here, the most cited first · ← Bokai Xu

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. Qwen Technical ReportarXiv:2309.16609Jinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,669 citations
3. ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIsarXiv:2307.16789Yujia Qin, Shihao Liang, Yining Ye, et al.2023 · 589 citations
4. Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 520 citations
5. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
6. Yi: Open Foundation Models by 01.AIarXiv:2403.04652Alex Young, Bei Chen, Chao Li, et al.2024 · 408 citations
7. SnapKV: LLM Knows What You are Looking for Before GenerationConference on Neural Information Processing Systems (NeurIPS)Yuhong Li, Yingbing Huang, Bowen Yang, et al.2024 · 355 citations
8. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalarXiv:2402.04249Mantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 330 citations
9. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 287 citations
10. MiniCPM-V: A GPT-4V Level MLLM on Your PhonearXiv:2408.01800Yuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 269 citations
11. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesarXiv:2404.06395Shengding Hu, Yuge Tu, Xu Han, et al.2024 · 269 citations
12. LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation DatasetarXiv:2309.11998Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 242 citations
13. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyFindings of the Association for Computational LinguisticsLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 237 citations
14. Tower: An Open Multilingual Large Language Model for Translation-Related TasksarXiv:2402.17733Duarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al.2024 · 227 citations
15. AlpaGasus: Training A Better Alpaca with Fewer DataarXiv:2307.08701Lichang Chen, Shiyang Li, Jun Yan, et al.2023 · 220 citations
16. Aligning Large Language Models with Human: A SurveyarXiv:2307.12966Yufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 202 citations
17. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
18. RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language ModelsarXiv:2310.00746Zekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.2023 · 187 citations
19. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelarXiv:2502.02737Loubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 181 citations
20. LESS: Selecting Influential Data for Targeted Instruction TuningarXiv:2402.04333Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.2024 · 178 citations
21. What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction TuningarXiv:2312.15685Wei Liu, Weihao Zeng, Keqing He, et al.2023 · 178 citations
22. OpenChat: Advancing Open-source Language Models with Mixed-Quality DataarXiv:2309.11235Guan Wang, Sijie Cheng, Xianyuan Zhan, et al.2023 · 174 citations
23. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
24. From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction TuningarXiv:2308.12032Ming Li, Yong Zhang, Zhitao Li, et al.2023 · 161 citations
25. The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningarXiv:2312.01552Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.2023 · 150 citations
26. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingarXiv:2406.08464Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 148 citations
27. Self-Alignment with Instruction BacktranslationarXiv:2308.06259Xian Li, Ping Yu, Chunting Zhou, et al.2023 · 139 citations
28. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
29. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
30. ALLaM: Large Language Models for Arabic and EnglisharXiv:2407.15390M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
31. Orca-Math: Unlocking the potential of SLMs in Grade School MatharXiv:2402.14830Arindam Mitra, Hamed Khanpour, Corby Rosset, et al.2024 · 111 citations
32. Nemotron-4 340B Technical ReportarXiv:2406.11704Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 107 citations
33. LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive MemoryarXiv:2410.10813Di Wu, Hongwei Wang, Wenhao Yu, et al.2024 · 95 citations
34. How to Train Long-Context Language Models (Effectively)Annual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 89 citations
35. Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with CharactersFindings of the Association for Computational LinguisticsNuo Chen, Yan Wang, Haiyun Jiang, et al.2023 · 81 citations
36. Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxiang Wang, Yong Lin, Wei Xiong, et al.2024 · 68 citations
37. OffsetBias: Leveraging Debiased Data for Tuning EvaluatorsFindings of the Association for Computational LinguisticsJunsoo Park, Seungyeon Jwa, Ren Meiying, et al.2024 · 67 citations
38. LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMsarXiv:2408.07055Yushi Bai, Jiajie Zhang, Xin Lv, et al.2024 · 66 citations
39. IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, et al.2024 · 48 citations
40. Stable LM 2 1.6B Technical ReportarXiv:2402.17834Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.2024 · 46 citations
41. Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language ModelsarXiv:2404.02823Haoran Sun, Lixin Liu, Junjie Li, et al.2024 · 40 citations
42. MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Junbo Niu, Zheng Liu, Zhuangcheng Gu, et al.2026 · 35 citations
43. Airavata: Introducing Hindi Instruction-tuned LLMarXiv:2401.15006Jay Gala, Thanmay Jayakumar, Jaavid Aktar Husain, et al.2024 · 31 citations
44. CIDAR: Culturally Relevant Instruction Dataset For ArabicFindings of the Association for Computational LinguisticsZaid Alyafeai, Khalid Almubarak, Ahmed Ashraf, et al.2024 · 30 citations
45. Language Models as Science TutorsarXiv:2402.11111Alexis Chevalier, Jiayi Geng, Alexander Wettig, et al.2024 · 30 citations
46. Towards Effective and Efficient Continual Pre-training of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jie Chen, Zhipeng Chen, Jiapeng Wang, et al.2025 · 29 citations
47. JetMoE: Reaching Llama2 Performance with 0.1M DollarsarXiv:2404.07413Yikang Shen, Zhen Guo, Tianle Cai, et al.2024 · 28 citations
48. OmniFlatten: An End-to-end GPT Model for Seamless Voice ConversationAnnual Meeting of the Association for Computational Linguistics (ACL)Qinglin Zhang, Luyao Cheng, Chong Deng, et al.2025 · 27 citations
49. OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Tianci Liu, Ran Xu, Tony Yu, et al.2026 · 25 citations
50. MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
51. DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AIFindings of the Association for Computational LinguisticsJianguo Zhang, Kun Qian, Zhiwei Liu, et al.2023 · 21 citations
52. LLaMA-Omni 2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech SynthesisAnnual Meeting of the Association for Computational Linguistics (ACL)Qingkai Fang, Yan Zhou, Shoutao Guo, et al.2025 · 20 citations
53. LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution ShiftsAnnual Meeting of the Association for Computational Linguistics (ACL)Qibing Ren, Hao Li, Dongrui Liu, et al.2025 · 18 citations
54. DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphConference on Neural Information Processing Systems (NeurIPS)Zhehao Zhang, Jiaao Chen, Diyi Yang2024 · 17 citations
55. Orion-14B: Open-source Multilingual Large Language ModelsarXiv:2401.12246Du Chen, Yi Huang, Xiaopu Li, et al.2024 · 17 citations
56. PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for FreeAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Li, Xiaogeng Liu, Ning Zhang, et al.2025 · 16 citations
57. Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction CapabilitiesShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2024 · 15 citations
58. MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teamingAnnual Meeting of the Association for Computational Linguistics (ACL)Weiyang Guo, Jing Li, Wenya Wang, et al.2025 · 14 citations
59. Pre-training Distillation for Large Language Models: A Design Space ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Xin Lv, Yushi Bai, et al.2025 · 14 citations
60. Alignment for Efficient Tool Calling of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongshen Xu, Zihan Wang, Zichen Zhu, et al.2025 · 13 citations
61. Fanar 2.0: Arabic Generative AI StackarXiv:2603.16397FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad, et al.2026 · 11 citations
62. Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Maosong Cao, Taolin Zhang, Mo Li, et al.2025 · 11 citations
63. Do Large Language Models Mirror Cognitive Language Processing?International Conference on Computational Linguistics (COLING)Yuqi Ren, Renren Jin, Tongxuan Zhang, et al.2025 · 11 citations
64. Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable MetricAnnual Meeting of the Association for Computational Linguistics (ACL)Yuming Yang, Yang Nan, Junjie Ye, et al.2025 · 11 citations
65. Beyond the Surface: Measuring Self-Preference in LLM JudgmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhi-Yuan Chen, Hao Wang, Xinyu Zhang, et al.2025 · 10 citations
66. Nile-Chat: Egyptian Language Models for Arabic and Latin ScriptsArabic Natural Language Processing Conference (ArabicNLP)Guokan Shang, Hadi Abdine, Ahmad Chamma, et al.2025 · 9 citations
67. Selective Preference Optimization via Token-Level Reward Function EstimationConference on Empirical Methods in Natural Language Processing (EMNLP)Kailai Yang, Zhiwei Liu, Qianqian Xie, et al.2025 · 8 citations
68. What Prompts Don't Say: Understanding and Managing Underspecification in LLM PromptsFindings of the Association for Computational LinguisticsChenyang Yang, Yike Shi, Qianou Ma, et al.2026 · 6 citations
69. FanarGuard: A Culturally-Aware Moderation Filter for Arabic Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Masoomali Fatehkia, Enes Altinisik, Husrev Taha Sencar2026 · 5 citations
70. MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal InteractionarXiv:2604.27393Junbo Cui, Bokai Xu, Chongyi Wang, et al.2026 · 5 citations
71. Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is MissingTransactions of the Association for Computational Linguistics (TACL)Dennis Ulmer, Alexandra Lorson, Ivan Titov, et al.2026 · 4 citations
72. HiddenGuard: Fine-Grained Safe Generation with Specialized Representation RouterAnnual Meeting of the Association for Computational Linguistics (ACL)Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.2026 · 4 citations
73. Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Hsiung, Tianyu Pang, Yung-Chen Tang, et al.2026 · 4 citations
74. Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language ModelsarXiv:2508.06135Lingyuan Liu, Mengxiang Zhang2025 · 4 citations
75. CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Biao Yi, Tiansheng Huang, Baolei Zhang, et al.2026 · 3 citations
76. SFTMix: Elevating Language Model Instruction Tuning with Mixup RecipeAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxin Xiao, Shujian Zhang, Marzyeh Ghassemi, et al.2026 · 3 citations
77. Efficient Training for Cross-lingual Speech Language ModelsFindings of the Association for Computational LinguisticsYan Zhou, Qingkai Fang, Yun Hong, et al.2026 · 2 citations
78. MTAVG-Bench: A Diagnostic Benchmark for Multi-Talker Dialogue-Centric Audio-Video GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yanghao Zhou, Haitian Li, Rexar Lin, et al.2026 · 2 citations
79. Speculative Decoding with a Speculative VocabularyFindings of the Association for Computational LinguisticsMiles Williams, Young D. Kwon, Rui Li, et al.2026 · 2 citations
80. A Survey on LLM-based Conversational User SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bo Ni, Yu Wang, Leyao Wang, et al.2026 · 1 citation
81. Beyond Static Personas: Situational Personality Steering for Large Language ModelsFindings of the Association for Computational LinguisticsZesheng Wei, Mengxiang Li, Zilei Wang, et al.2026 · 1 citation
82. Thinking Alignment of Scenario-Oriented User SimulationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoting Wu, Yi Huang, Chunyang Gao, et al.2026 · 1 citation
83. Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Weiqing Luo, Zongye Hu, Xiao Wang, et al.2026 · 1 citation
84. A Dual-Phase Self-Evolution Framework for Large Language ModelsFindings of the Association for Computational LinguisticsHaoran Sun, Zekun Zhang, Shaoning Zeng2026
85. An Empirical Study of Speculative Decoding for Small Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Luca Mainardi, Selcuk Sandikci, Joaquin Vanschoren2026
86. Are Large Language Models Economically Viable for Industry Deployment?Annual Meeting of the Association for Computational Linguistics (ACL)Abdullah Mohammad, Sushant Kumar Ray, Pushkar Arora, et al.2026
87. Beyond Cultural Knowledge: Evaluating Arabic Cultural Appropriateness of Large Language ModelsarXiv:2609.16006Enes Altinisik, Hamdy Mubarak, Masoomali Fatehkia, et al.2026
88. Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data SynthesisConference of the European Chapter of the Association for Computational Linguistics (EACL)Shuhaib Mehri, Xiusi Chen, Heng Ji, et al.2026
89. From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic HorizonsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangyu Ma, Teng Xiao, Zuchao Li, et al.2026
90. How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM PipelinearXiv:2604.04204Mir Tafseer Nayeem, Davood Rafiei2026
91. How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModelAnnual Meeting of the Association for Computational Linguistics (ACL)Yongqi Tong, Xiaoyun Feng, Lyuxin Xue, et al.2026
92. 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
93. MTP-RL: Acceleration of Reinforcement Learning Rollouts with Policy-Aligned Multi-Token PredictionFindings of the Association for Computational LinguisticsKe Wang, Aohan Zeng, Zhengxiao Du, et al.2026
94. Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Wai Man Si, Mingjie Li, Michael Backes, et al.2026
95. SimpleOCR: Rendering Visual Questions to Teach MLLMs to ReadFindings of the Association for Computational LinguisticsYibo Peng, Peng Xia, Ding Zhong, et al.2026
96. 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
97. The Impact of Off-Policy Training Data on Probe GeneralisationFindings of the Association for Computational LinguisticsAdrians Skapars, Nathalie Maria Kirch, Samuel Dower, et al.2026
98. Topology-Enhanced Alignment for Large Language Models: Trajectory Topology Loss and Topological Preference OptimizationFindings of the Association for Computational LinguisticsYurui Pan, Ke Xu, Bo Peng2026
99. 360Zhinao Technical ReportarXiv:2405.133862024

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