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Who cites Danny Driess

686 citations of their works from 603 papers of our library (of the 149,439 whose bibliographies we read) · 120 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Danny Driess

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  1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  2. Visual Instruction TuningarXiv:2304.08485Haotian Liu, Chunyuan Li, Qingyang Wu, et al.2023 · 2,617 citations
  3. Qwen Technical ReportarXiv:2309.16609Jinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,669 citations
  4. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
  5. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,272 citations
  6. MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language ModelsarXiv:2304.10592Deyao Zhu, Jun Chen, Xiaoqian Shen, et al.2023 · 1,141 citations
  7. InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningarXiv:2305.06500Wenliang Dai, Junnan Li, Dongxu Li, et al.2023 · 1,100 citations
  8. MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Chaoyou Fu, Peixian Chen, Yunhang Shen, et al.2023 · 554 citations
  9. TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with RecommendationarXiv:2305.00447Keqin Bao; Jizhi Zhang; Yang Zhang; Wenjie Wang; Fuli Feng;, Xiangnan He2023 · 531 citations
  10. MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkIEEE Computer Society Conference on Computer Vision and Pattern RecognitionKunchang Li, Yali Wang, Yinan He, et al.2023 · 463 citations
  11. InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksarXiv:2312.14238Zhe Chen, Jiannan Wu, Wenhai Wang, et al.2023 · 435 citations
  12. The Internal State of an LLM Knows When It's LyingFindings of the Association for Computational LinguisticsAmos Azaria, Tom Mitchell2023 · 435 citations
  13. mPLUG-Owl: Modularization Empowers Large Language Models with MultimodalityarXiv:2304.14178Qinghao Ye, Haiyang Xu, Guohai Xu, et al.2023 · 427 citations
  14. Large Language Models as OptimizersarXiv:2309.03409Chengrun Yang, Xuezhi Wang, Yifeng Lu, et al.2023 · 413 citations
  15. CogVLM: Visual Expert for Pretrained Language ModelsConference on Neural Information Processing Systems (NeurIPS)Weihan Wang, Qingsong Lv, Wenmeng Yu, et al.2023 · 383 citations
  16. Tool Learning with Foundation ModelsACM Computing SurveysYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 383 citations
  17. VILA: On Pre-training for Visual Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJi Lin, Hongxu Yin, Wei Ping, et al.2023 · 381 citations
  18. SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational AbilitiesFindings of the Association for Computational LinguisticsDong Zhang, Shimin Li, Xin Zhang, et al.2023 · 347 citations
  19. MM-Vet: Evaluating Large Multimodal Models for Integrated CapabilitiesarXiv:2308.02490Weihao Yu, Zhengyuan Yang, Linjie Li, et al.2023 · 344 citations
  20. HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionTianrui Guan, Fuxiao Liu, Xiyang Wu, et al.2023 · 335 citations
  21. MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 320 citations
  22. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)arXiv:2309.17421Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 311 citations
  23. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsScience China Information SciencesYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 306 citations
  24. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  25. Kosmos-2: Grounding Multimodal Large Language Models to the WorldarXiv:2306.14824Zhiliang Peng, Wenhui Wang, Li Dong, et al.2023 · 286 citations
  26. An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language ModelsLecture notes in computer scienceLiang Chen, Haozhe Zhao, Tianyu Liu, et al.2024 · 279 citations
  27. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsConference on Neural Information Processing Systems (NeurIPS)Boxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 259 citations
  28. InternVideo2: Scaling Foundation Models for Multimodal Video UnderstandingLecture notes in computer scienceYi Wang, Kunchang Li, Xinhao Li, et al.2024 · 253 citations
  29. Language Models can Solve Computer TasksConference on Neural Information Processing Systems (NeurIPS)Geunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 249 citations
  30. MedAgents: Large Language Models as Collaborators for Zero-shot Medical ReasoningFindings of the Association for Computational LinguisticsXiangru Tang, Anni Zou, Zhuosheng Zhang, et al.2024 · 246 citations
  31. Visual Adversarial Examples Jailbreak Aligned Large Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceXiangyu Qi, Kaixuan Huang, Ashwinee Panda, et al.2023 · 240 citations
  32. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
  33. LLaMA-Adapter V2: Parameter-Efficient Visual Instruction ModelarXiv:2304.15010Peng Gao, Jiaming Han, Renrui Zhang, et al.2023 · 229 citations
  34. Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionZhang Li, Biao Yang, Qiang Liu, et al.2023 · 222 citations
  35. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsarXiv:2308.10848Weize Chen, Yusheng Su, Jingwei Zuo, et al.2023 · 217 citations
  36. RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human FeedbackIEEE Computer Society Conference on Computer Vision and Pattern RecognitionTianyu Yu, Yuan Yao, Haoye Zhang, et al.2023 · 217 citations
  37. LLM+P: Empowering Large Language Models with Optimal Planning ProficiencyarXiv:2304.11477Bo Liu, Yuqian Jiang, Xiaohan Zhang, et al.2023 · 216 citations
  38. What matters when building vision-language models?Conference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 212 citations
  39. Shikra: Unleashing Multimodal LLM's Referential Dialogue MagicarXiv:2306.15195Keqin Chen, Zhao Zhang, Weili Zeng, et al.2023 · 210 citations
  40. MM-REACT: Prompting ChatGPT for Multimodal Reasoning and ActionarXiv:2303.11381Zhengyuan Yang, Linjie Li, Jianfeng Wang, et al.2023 · 196 citations
  41. Towards Building Multilingual Language Model for MedicineNature CommunicationsPengcheng Qiu, Chaoyi Wu, Xiaoman Zhang, et al.2024 · 184 citations
  42. Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall SpacesIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJihan Yang, Shusheng Yang, Anjali W. Gupta, et al.2024 · 182 citations
  43. Aligning Large Multimodal Models with Factually Augmented RLHFarXiv:2309.14525Zhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 176 citations
  44. Promptbreeder: Self-Referential Self-Improvement Via Prompt EvolutionarXiv:2309.16797Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, et al.2023 · 174 citations
  45. Capabilities of Gemini Models in MedicinearXiv:2404.18416Khaled Saab, Tao Tu, Wei-Hung Weng, et al.2024 · 170 citations
  46. MedGemma Technical ReportarXiv:2507.05201Andrew Sellergren, Sahar Kazemzadeh, Tiam Jaroensri, et al.2025 · 150 citations
  47. GPT4Tools: Teaching Large Language Model to Use Tools via Self-instructionConference on Neural Information Processing Systems (NeurIPS)Rui Yang, Lin Song, Yanwei Li, et al.2023 · 147 citations
  48. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations
  49. Secrets of RLHF in Large Language Models Part I: PPOarXiv:2307.04964Rui Zheng, Shihan Dou, Songyang Gao, et al.2023 · 135 citations
  50. Deductive Verification of Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Zhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 130 citations
  51. HealthBench: Evaluating Large Language Models Towards Improved Human HealtharXiv:2505.08775Rahul K. Arora, Jason Wei, Rebecca Soskin Hicks, et al.2025 · 126 citations
  52. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryConference on Neural Information Processing Systems (NeurIPS)Chaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 126 citations
  53. FAST: Efficient Action Tokenization for Vision-Language-Action ModelsarXiv:2501.09747Karl Pertsch, Kyle Stachowicz, Brian Ichter, et al.2025 · 123 citations
  54. VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMsarXiv:2406.07476Zesen Cheng, Sicong Leng, Hang Zhang, et al.2024 · 118 citations
  55. Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task PlanningConference on Neural Information Processing Systems (NeurIPS)Lin Guan, Karthik Valmeekam, Sarath Sreedharan, et al.2023 · 115 citations
  56. PaperQA: Retrieval-Augmented Generative Agent for Scientific ResearcharXiv:2312.07559Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski, et al.2023 · 109 citations
  57. Prompt Cache: Modular Attention Reuse for Low-Latency InferenceMLSys 2024In Gim, Guojun Chen, Seung-seob Lee, et al.2023 · 109 citations
  58. FireAct: Toward Language Agent Fine-tuningarXiv:2310.05915Baian Chen, Chang Shu, Ehsan Shareghi, et al.2023 · 101 citations
  59. The Platonic Representation HypothesisarXiv:2405.07987Minyoung Huh, Brian Cheung, Tongzhou Wang, et al.2024 · 96 citations
  60. Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and MemoryarXiv:2305.17144Xizhou Zhu, Yuntao Chen, Hao Tian, et al.2023 · 96 citations
  61. Building Cooperative Embodied Agents Modularly with Large Language ModelsarXiv:2307.02485Hongxin Zhang, Weihua Du, Jiaming Shan, et al.2023 · 95 citations
  62. InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelarXiv:2401.16420Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 94 citations
  63. Language Modeling Is CompressionarXiv:2309.10668Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.2023 · 91 citations
  64. AgentBoard: An Analytical Evaluation Board of Multi-turn LLM AgentsConference on Neural Information Processing Systems (NeurIPS)Chang Ma, Junlei Zhang, Zhihao Zhu, et al.2024 · 90 citations
  65. Large Language Models as General Pattern MachinesarXiv:2307.04721Suvir Mirchandani, Fei Xia, Pete Florence, et al.2023 · 88 citations
  66. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
  67. InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and CompositionarXiv:2309.15112Pan Zhang, Xiaoyi Dong, Bin Wang, et al.2023 · 87 citations
  68. 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
  69. Time-LLM: Time Series Forecasting by Reprogramming Large Language ModelsarXiv:2310.01728Ming Jin, Shiyu Wang, Lintao Ma, et al.2023 · 77 citations
  70. Multilingual Large Language Model: A Survey of Resources, Taxonomy and FrontiersarXiv:2404.04925Libo Qin, Qiguang Chen, Yuhang Zhou, et al.2024 · 75 citations
  71. OS-Copilot: Towards Generalist Computer Agents with Self-ImprovementarXiv:2402.07456Zhiyong Wu, Chengcheng Han, Zichen Ding, et al.2024 · 61 citations
  72. ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language ModelsarXiv:2305.18323Binfeng Xu, Zhiyuan Peng, Bowen Lei, et al.2023 · 61 citations
  73. InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HDConference on Neural Information Processing Systems (NeurIPS)Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 54 citations
  74. CMB: A Comprehensive Medical Benchmark in ChinesearXiv:2308.08833Xidong Wang, Guiming Hardy Chen, Dingjie Song, et al.2023 · 54 citations
  75. InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputarXiv:2407.03320Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.2024 · 39 citations
  76. Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning CorpusACM Transactions on Intelligent Systems and TechnologySeungpil Lee, Woochang Sim, Donghyeon Shin, et al.2024 · 38 citations
  77. LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based RepresentationsarXiv:2305.18354Yudong Xu, Wenhao Li, Pashootan Vaezipoor, et al.2023 · 32 citations
  78. Baichuan-Omni-1.5 Technical ReportarXiv:2501.15368Yadong Li, Jun Liu, Tao Zhang, et al.2025 · 28 citations
  79. Tx-LLM: A Large Language Model for TherapeuticsarXiv:2406.06316Juan Manuel Zambrano Chaves, Eric Wang, Tao Tu, et al.2024 · 23 citations
  80. Humans Learn Language from Situated Communicative Interactions. What about Machines?Computational LinguisticsKatrien Beuls, Paul Van Eecke2024 · 21 citations
  81. Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal ReasoningarXiv:2310.03249Mohamed Aghzal, Erion Plaku, Ziyu Yao2023 · 21 citations
  82. The Vector Grounding ProblemarXiv:2304.01481Dimitri Coelho Mollo, Raphael Milliere2023 · 20 citations
  83. Quality-Diversity through AI FeedbackarXiv:2310.13032Herbie Bradley, Andrew Dai, Hannah Teufel, et al.2023 · 19 citations
  84. LLM-Based Human-Agent Collaboration and Interaction Systems: A SurveyFindings of the Association for Computational LinguisticsHenry Peng Zou, Wei-Chieh Huang, Yaozu Wu, et al.2026 · 12 citations
  85. Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal ModelsInternational Conference on Computational Linguistics (COLING)Xuanyu Lei, Zonghan Yang, Xinrui Chen, et al.2025 · 11 citations
  86. Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?Annual Meeting of the Association for Computational Linguistics (ACL)Yuyao Ge, Shenghua Liu, Baolong Bi, et al.2025 · 10 citations
  87. ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Rachneet Kaur, Nishan Srishankar, Zhen Zeng, et al.2026 · 5 citations
  88. Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Mengna Wang, Gangao Liu, et al.2026 · 5 citations
  89. Growing Through Experience: Scaling Episodic Grounding in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chunhui Zhang, Sirui Wang, Zhongyu Ouyang, et al.2025 · 5 citations
  90. Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Shunqi Mao, Chaoyi Zhang, Weidong Cai2026 · 4 citations
  91. MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data SynthesisFindings of the Association for Computational LinguisticsZixiong Yu, Jun Rao, Guhan Chen, et al.2026 · 3 citations
  92. CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive DecodingFindings of the Association for Computational LinguisticsXi Zhang, Zaiqiao Meng, Jake Lever, et al.2026 · 2 citations
  93. EvoRoute: Experience-Driven Self-Routing LLM Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Guibin Zhang, Haiyang Yu, Kaiming Yang, et al.2026 · 2 citations
  94. V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsXiangxi Zheng, Linjie Li, Zhengyuan Yang, et al.2026 · 2 citations
  95. CPR-RAG: Clinical Prior-Regularized Retrieval for Anatomy-Aware 3D CT Report GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Sungkyu Yang, Kang-Min Kim, Mansu Kim2026 · 1 citation
  96. Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Kailai Yang, Xiao Liu, Lei Ji, et al.2026 · 1 citation
  97. Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-SystemAnnual Meeting of the Association for Computational Linguistics (ACL)Yifei Wei, Linqing Zhong, Yi Liu, et al.2026 · 1 citation
  98. MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Shi, Yifeng Xie, Minzhe Guo, et al.2026 · 1 citation
  99. RA-RRG: Multimodal Retrieval-Augmented Radiology Report Generation with Key Phrase ExtractionFindings of the Association for Computational LinguisticsJonggwon Park, Byungmu Yoon, Soobum Kim, et al.2026 · 1 citation
  100. Beyond Single View: A Comprehensive Benchmark for Medical Multimodal Large Language Models on Multi-Image UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Dexuan Xu, Yuan Jiayin, Jianing Wang, et al.2026

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