🧑‍🔬 Who cites Sicong Leng

243 citations of their works from 241 papers of our library (of the 149,439 whose bibliographies we read) · 60 with a page here, the most cited first · ← Sicong Leng

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. 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
3. InternVideo2: Scaling Foundation Models for Multimodal Video UnderstandingLecture notes in computer scienceYi Wang, Kunchang Li, Xinhao Li, et al.2024 · 253 citations
4. 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
5. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
6. MLVU: Benchmarking Multi-task Long Video UnderstandingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJunjie Zhou, Yan Shu, Bo Zhao, et al.2024 · 140 citations
7. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
8. LLaVA-Video: Video Instruction Tuning With Synthetic DataarXiv:2410.02713Yuanhan Zhang, Jinming Wu, Wei Li, et al.2024 · 119 citations
9. A Survey on Hallucination in Large Vision-Language ModelsarXiv:2402.00253Hanchao Liu, Wenyuan Xue, Yifei Chen, et al.2024 · 113 citations
10. Tuning Language Models by ProxyarXiv:2401.08565Alisa Liu, Xiaochuang Han, Yizhong Wang, et al.2024 · 79 citations
11. Factuality of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, et al.2024 · 77 citations
12. Long Context Transfer from Language to VisionarXiv:2406.16852Peiyuan Zhang, Kaichen Zhang, Bo Li, et al.2024 · 73 citations
13. MagicPIG: LSH Sampling for Efficient LLM GenerationarXiv:2410.16179Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, et al.2024 · 68 citations
14. mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language ModelsarXiv:2408.04840Jiabo Ye, Haiyang Xu, Haowei Liu, et al.2024 · 60 citations
15. Kimi-Audio Technical ReportarXiv:2504.18425KimiTeam, Ding Ding, Zeqian Ju, et al.2025 · 57 citations
16. mDPO: Conditional Preference Optimization for Multimodal Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fei Wang, Wenxuan Zhou, James Y. Huang, et al.2024 · 50 citations
17. Baichuan-Omni-1.5 Technical ReportarXiv:2501.15368Yadong Li, Jun Liu, Tao Zhang, et al.2025 · 28 citations
18. Cracking the Code of Hallucination in LVLMs with Vision-aware Head DivergenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jinghan He, Kuan Zhu, Haiyun Guo, et al.2025 · 21 citations
19. Baichuan-Omni Technical ReportarXiv:2410.08565Yadong Li, Haoze Sun, Mingan Lin, et al.2024 · 18 citations
20. When One LLM Drools, Multi-LLM Collaboration RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Wenxuan Ding, Alisa Liu, et al.2026 · 14 citations
21. 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
22. Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QAConference of the European Chapter of the Association for Computational Linguistics (EACL)Jongwoo Park, Kanchana Ranasinghe, Kumara Kahatapitiya, et al.2026 · 13 citations
23. Activation Steering Decoding: Mitigating Hallucination in Large Vision-Language Models through Bidirectional Hidden State InterventionAnnual Meeting of the Association for Computational Linguistics (ACL)Jingran Su, Jingfan Chen, Hongxin Li, et al.2025 · 12 citations
24. Audio-centric Video Understanding Benchmark without Text ShortcutConference on Empirical Methods in Natural Language Processing (EMNLP)Yudong Yang, Jimin Zhuang, Guangzhi Sun, et al.2025 · 10 citations
25. HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Haowei Zhang, Shudong Yang, Jinlan Fu, et al.2026 · 9 citations
26. G2: Guided Generation for Enhanced Output Diversity in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhiwen Ruan, Yixia Li, Yefeng Liu, et al.2025 · 6 citations
27. 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
28. INFACT: A Diagnostic Benchmark for Induced Faithfulness and Factuality Hallucinations in Video-LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yangjunqi, Yuecong Min, Jie Zhang, et al.2026 · 5 citations
29. 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
30. RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human FeedbackInternational Conference on Computational Linguistics (COLING)Guoqing Chen, Fu Zhang, Jinghao Lin, et al.2025 · 5 citations
31. GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, et al.2026 · 4 citations
32. 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
33. VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information BottleneckAnnual Meeting of the Association for Computational Linguistics (ACL)Feiran Zhang, Yixin Wu, Zhenghua Wang, et al.2026 · 3 citations
34. 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
35. 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
36. SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsWeijiang Lv, Yaoxuan Feng, Xiaobo Xia, et al.2026 · 1 citation
37. Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Shuliang Liu, Songbo Yang, Dong Fang, et al.2026 · 1 citation
38. When Vision-Language Models Judge Without Seeing: Exposing Informativeness BiasAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, et al.2026 · 1 citation
39. A Survey of Large Models in SportsFindings of the Association for Computational LinguisticsYichen Xu, Jianzhe Ma, Chuhan Wang, et al.2026
40. Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahuan Zhang, Shunwen Bai, Tianheng Wang, et al.2026
41. Attribution-Guided Multi-Object Hallucination and Bias Detection in Vision-Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Sirat Samyoun, Yingtai Xiao, Jian Du2026
42. CAIR: Causal Adaptive Information-based Reinforcement Learning for Multimodal Emotion ReasoningFindings of the Association for Computational LinguisticsFengyu Zhang, Bin Liu, Jianhua Tao, et al.2026
43. DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsHao Yang, Jin Wang, Xuejie Zhang2026
44. EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and MissingnessFindings of the Association for Computational LinguisticsYueru Sun, Yimeng Zhang, Haoyu Gu, et al.2026
45. From Detection to Understanding: Multi-Turn Reasoning for Video Misinformation AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Zhi Zeng, Jiaying Wu, Minnan Luo, et al.2026
46. GaLa: Hypergraph-Guided Visual Language Models for Procedural PlanningFindings of the Association for Computational LinguisticsKun Wang, Li Yiming, Mingcheng Qu, et al.2026
47. GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunzhe Wang, Runhui Xu, Kexin Zheng, 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. MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description ScenariosLanguage Resources and Evaluation Conference (LREC)Bi-Cheng Yan, Fu-An Chao, Hong-Yun H.Y. Lin, et al.2026
50. Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenxin Qin, Qiang Li, Qingzhuo Wang, et al.2026
51. Mitigating Hallucinations in Large Vision-Language Models without Performance DegradationAnnual Meeting of the Association for Computational Linguistics (ACL)Xingyu Zhu, Junfeng Fang, Shuo Wang, et al.2026
52. Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise PerturbationFindings of the Association for Computational LinguisticsZhenghua Wang, Yixin Wu, Feiran Zhang, et al.2026
53. MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn DialoguesFindings of the Association for Computational LinguisticsYaning Pan, Qianqian Xie, Guohui Zhang, et al.2026
54. PAR: Training-Free Positional Perturbation and Attention Recycling for Faithful OCRAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Yao, Manwen Liao, Weitian Zhang, et al.2026
55. Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Ke Ma, Jiaqi Tang, Bin Guo, et al.2026
56. Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination MitigationFindings of the Association for Computational LinguisticsYebo Wu, Han Jin, Zhijiang Guo, et al.2026
57. 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
58. TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMsFindings of the Association for Computational LinguisticsXiaofeng Zhang, Yuanchao Zhu, Qiyan Zhao, et al.2026
59. v-HUB: A Benchmark for Video Humor Understanding from Vision and SoundAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengpeng Shi, Yanpeng Zhao, Jianqun Zhou, et al.2026
60. VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-EvaluationFindings of the Association for Computational LinguisticsSeongheon Park, Changdae Oh, Hyeong Kyu Choi, et al.2026

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