🧑‍🔬 Who cites Xiaoyu Liu

178 citations of their works from 178 papers of our library (of the 149,439 whose bibliographies we read) · 53 with a page here, the most cited first · ← Xiaoyu Liu

1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
2. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
3. Qwen2.5-VL Technical ReportarXiv:2502.13923Shuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 1,031 citations
4. 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 · 1,005 citations
5. Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191Peng Wang, Shuai Bai, Sinan Tan, et al.2024 · 860 citations
6. 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 · 541 citations
7. 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
8. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
9. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsarXiv:2504.10479Jinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 216 citations
10. Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction TuningarXiv:2306.14565Fuxiao Liu, Kevin Lin, Linjie Li, et al.2023 · 189 citations
11. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
12. Qwen3-Omni Technical ReportarXiv:2509.17765Jin Xu, Zhifang Guo, Hangrui Hu, et al.2025 · 117 citations
13. LMMs-Eval: Reality Check on the Evaluation of Large Multimodal ModelsFindings of the Association for Computational LinguisticsKaichen Zhang, Bo Li, Peiyuan Zhang, et al.2025 · 115 citations
14. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
15. 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 · 89 citations
16. 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 · 86 citations
17. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
18. MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language BenchmarkarXiv:2402.04788Dongping Chen, Ruoxi Chen, Shilin Zhang, et al.2024 · 60 citations
19. A Survey of Small Language ModelsarXiv:2410.20011Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.2024 · 31 citations
20. Qwen3.5-Omni Technical ReportarXiv:2604.15804Qwen Team2026 · 29 citations
21. Baichuan-Omni-1.5 Technical ReportarXiv:2501.15368Yadong Li, Jun Liu, Tao Zhang, et al.2025 · 28 citations
22. LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Jinhe Bi, Yujun Wang, Haokun Chen, et al.2025 · 24 citations
23. MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training RecipearXiv:2509.18154Tianyu Yu, Zefan Wang, Chongyi Wang, et al.2025 · 24 citations
24. Protecting Privacy in Multimodal Large Language Models with MLLMU-BenchConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zheyuan Liu, Guangyao Dou, Mengzhao Jia, et al.2025 · 24 citations
25. Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hengyi Wang, Haizhou Shi, Shiwei Tan, et al.2025 · 21 citations
26. Baichuan-Omni Technical ReportarXiv:2410.08565Yadong Li, Haoze Sun, Mingan Lin, et al.2024 · 18 citations
27. Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.2025 · 14 citations
28. 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
29. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
30. Autoregressive Semantic Visual Reconstruction Helps VLMs Understand BetterFindings of the Association for Computational LinguisticsDianyi Wang, Wei Song, Yikun Wang, et al.2026 · 7 citations
31. ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
32. Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, et al.2025 · 6 citations
33. LLM-Oriented Token-Adaptive Knowledge DistillationarXiv:2510.11615Xurong Xie, Zhucun Xue, Jiafu Wu, et al.2025 · 6 citations
34. Skywork-R1V3 Technical ReportarXiv:2507.06167Wei Shen, Jiangbo Pei, Yi Peng, et al.2025 · 6 citations
35. MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal InteractionarXiv:2604.27393Junbo Cui, Bokai Xu, Chongyi Wang, et al.2026 · 5 citations
36. OctoTools: A Multi-Agent Framework with Extensible Tools for Complex ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Pan Lu, Bowen Chen, Sheng Liu, et al.2026 · 5 citations
37. Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMsFindings of the Association for Computational LinguisticsGuangtao Lyu, Qi Liu, Chenghao Xu, et al.2026 · 5 citations
38. 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
39. Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chi Zhang, Wenxuan Ding, Jiale Liu, et al.2026 · 2 citations
40. STEP3-VL-10B Technical ReportarXiv:2601.09668Ailin Huang, Chengyuan Yao, Chunrui Han, et al.2026 · 2 citations
41. When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Francesco Ortu, Zhijing Jin, Diego Doimo, et al.2026 · 2 citations
42. Benchmarking Vision Language Models on German Factual DataarXiv:2504.11108Rene Peinl, Vincent Tischler2025 · 2 citations
43. 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
44. Structured and Abstractive Reasoning on Multi-modal Relational Knowledge ImagesFindings of the Association for Computational LinguisticsYichi Zhang, Zhuo Chen, Lingbing Guo, et al.2026 · 1 citation
45. Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat FormatsAnnual Meeting of the Association for Computational Linguistics (ACL)Pengxiang Zhao, Hui-Ling Zhen, Xing Li, et al.2026 · 1 citation
46. Can Video LLMs See Through Illusions? Video-Illusion QA Benchmark DatasetLanguage Resources and Evaluation Conference (LREC)Souto Ohira, Tosho Hirasawa, Mamoru Komachi2026
47. Journey Before Destination: On the importance of Visual Faithfulness in Slow ThinkingConference of the European Chapter of the Association for Computational Linguistics (EACL)Rheeya Uppaal, Phu Mon Htut, Min Bai, et al.2026
48. Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Luo, Siyu Jiang, Weilong Jiang, et al.2026
49. SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual ScenesAnnual Meeting of the Association for Computational Linguistics (ACL)Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, et al.2026
50. Simple-VGC: Enhancing Visual Grounding in Multimodal Reasoning via Adaptive Tool CompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Ye Wang, Qianglong Chen, Siyuan Wang, et al.2026
51. Taming Object Hallucinations with Verified Atomic Confidence EstimationConference of the European Chapter of the Association for Computational Linguistics (EACL)Jiarui Liu, Weihao Xuan, Zhijing Jin, et al.2026
52. VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-EvaluationFindings of the Association for Computational LinguisticsSeongheon Park, Changdae Oh, Hyeong Kyu Choi, et al.2026
53. When Seeing Is not Enough: Revealing the Limits of Active Reasoning in MLLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongcheng Liu, Pingjie Wang, Yuhao Wang, et al.2026

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