🧑‍🔬 Who cites Chenliang Li

389 citations of their works from 371 papers of our library (of the 141,840 whose bibliographies we read) · 52 with a page here, the most cited first · ← Chenliang Li

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
2. Improved Baselines with Visual Instruction TuningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionHaotian Liu, Chunyuan Li, Yuheng Li, et al.2023 · 2,558 citations
3. Qwen Technical ReportarXiv:2309.16609Jinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,645 citations
4. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
5. InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningarXiv:2305.06500Wenliang Dai, Junnan Li, Dongxu Li, et al.2023 · 1,051 citations
6. Evaluating Object Hallucination in Large Vision-Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yifan Li, Yifan Du, Kun Zhou, et al.2023 · 986 citations
7. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational LinguisticsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 966 citations
8. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIIEEE Computer Society Conference on Computer Vision and Pattern RecognitionXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 948 citations
9. Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondarXiv:2308.12966Jinze Bai, Shuai Bai, Shusheng Yang, et al.2023 · 913 citations
10. MMBench: Is Your Multi-modal Model an All-around Player?Lecture notes in computer scienceYuan Liu, Haodong Duan, Yuanhan Zhang, et al.2023 · 907 citations
11. Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191Peng Wang, Shuai Bai, Sinan Tan, et al.2024 · 819 citations
12. Video-LLaVA: Learning United Visual Representation by Alignment Before ProjectionConference on Empirical Methods in Natural Language Processing (EMNLP)Bin Lin, Yang Ye, Bin Zhu, et al.2023 · 614 citations
13. How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesScience China Information SciencesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 529 citations
14. 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 · 442 citations
15. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsarXiv:2310.02255Pan Lu, Hritik Bansal, Tony Xia, et al.2023 · 441 citations
16. ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsLecture notes in computer scienceLin Chen, Jinsong Li, Xiaoyi Dong, et al.2023 · 441 citations
17. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 440 citations
18. Dual Graph Convolutional Networks for Aspect-based Sentiment AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Ruifan Li, Hao Chen, Fangxiang Feng, et al.2021 · 429 citations
19. 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 · 368 citations
20. CogAgent: A Visual Language Model for GUI AgentsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionWenyi Hong, Weihan Wang, Qingsong Lv, et al.2023 · 353 citations
21. VideoChat: Chat-Centric Video UnderstandingScience China Information SciencesKunChang Li, Yinan He, Yi Wang, et al.2023 · 352 citations
22. MM-Vet: Evaluating Large Multimodal Models for Integrated CapabilitiesarXiv:2308.02490Weihao Yu, Zhengyuan Yang, Linjie Li, et al.2023 · 329 citations
23. 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 · 326 citations
24. LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init AttentionarXiv:2303.16199Renrui Zhang, Jiaming Han, Chris Liu, et al.2023 · 324 citations
25. MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 318 citations
26. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)arXiv:2309.17421Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 304 citations
27. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsScience China Information SciencesYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 297 citations
28. Are We on the Right Way for Evaluating Large Vision-Language Models?Conference on Neural Information Processing Systems (NeurIPS)Lin Chen, Jinsong Li, Xiaoyi Dong, et al.2024 · 263 citations
29. Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and OpinionsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongjie Cai, Rui Xia, Jianfei Yu2021 · 255 citations
30. SEED-Bench: Benchmarking Multimodal LLMs with Generative ComprehensionarXiv:2307.16125Bohao Li, Rui Wang, Guangzhi Wang, et al.2023 · 247 citations
31. InternVideo2: Scaling Foundation Models for Multimodal Video UnderstandingLecture notes in computer scienceYi Wang, Kunchang Li, Xinhao Li, et al.2024 · 239 citations
32. MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?Lecture notes in computer scienceRenrui Zhang, Dongzhi Jiang, Yichi Zhang, et al.2024 · 231 citations
33. Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video UnderstandingarXiv:2306.02858Hang Zhang, Xin Li, Lidong Bing2023 · 218 citations
34. DeepSeek-VL: Towards Real-World Vision-Language UnderstandingarXiv:2403.05525Haoyu Lu, Wen Liu, Bo Zhang, et al.2024 · 201 citations
35. Shikra: Unleashing Multimodal LLM's Referential Dialogue MagicarXiv:2306.15195Keqin Chen, Zhao Zhang, Weili Zeng, et al.2023 · 195 citations
36. MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningarXiv:2310.09478Jun Chen, Deyao Zhu, Xiaoqian Shen, et al.2023 · 192 citations
37. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 184 citations
38. Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction TuningarXiv:2306.14565Fuxiao Liu, Kevin Lin, Linjie Li, et al.2023 · 180 citations
39. The False Promise of Imitating Proprietary LLMsarXiv:2305.15717Arnav Gudibande, Eric Wallace, Charlie Snell, et al.2023 · 178 citations
40. Aligning Large Multimodal Models with Factually Augmented RLHFarXiv:2309.14525Zhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 168 citations
41. UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language ModelFindings of the Association for Computational LinguisticsJiabo Ye, Anwen Hu, Haiyang Xu, et al.2023 · 128 citations
42. SeeClick: Harnessing GUI Grounding for Advanced Visual GUI AgentsarXiv:2401.10935Kanzhi Cheng, Qiushi Sun, Yougang Chu, et al.2024 · 125 citations
43. mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document UnderstandingFindings of the Association for Computational LinguisticsAnwen Hu, Haiyang Xu, Jiabo Ye, et al.2024 · 109 citations
44. Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?Conference on Empirical Methods in Natural Language Processing (EMNLP)Yang Chen, Hexiang Hu, Yi Luan, et al.2023 · 109 citations
45. 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 · 92 citations
46. Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsWenhao Shi, Zhiqiang Hu, Yi Bin, et al.2024 · 86 citations
47. InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and CompositionarXiv:2309.15112Pan Zhang, Xiaoyi Dong, Bin Wang, et al.2023 · 85 citations
48. MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction TuningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, et al.2024 · 83 citations
49. Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text IntegrationarXiv:2306.09093Chenyang Lyu, Minghao Wu, Longyue Wang, et al.2023 · 74 citations
50. Improving Arabic Diacritization with Regularized Decoding and Adversarial TrainingHan Qin, Guimin Chen, Yuanhe Tian, et al.2021 · 25 citations
51. Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown ExtractionarXiv:2411.17835Mohamed Rashad2024 · 5 citations
52. Evaluating Multimodal Large Language Models on Vertically Written Japanese TextLanguage Resources and Evaluation Conference (LREC)Keito Sasagawa, Shuhei Kurita, Daisuke Kawahara2026 · 3 citations

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