🧑‍🔬 Who cites Yadong Lu

122 citations of their works from 122 papers of our library (of the 149,439 whose bibliographies we read) · 36 with a page here, the most cited first · ← Yadong Lu

1. Improved Baselines with Visual Instruction TuningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionHaotian Liu, Chunyuan Li, Yuheng Li, et al.2023 · 2,614 citations
2. HybridFlow: A Flexible and Efficient RLHF FrameworkarXiv:2409.19256Guangming Sheng, Chi Zhang, Zilingfeng Ye, et al.2024 · 624 citations
3. 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
4. Kimi K2: Open Agentic IntelligencearXiv:2507.20534Kimi Team, Yifan Bai, Yiping Bao, et al.2025 · 347 citations
5. Textbooks Are All You Need II: phi-1.5 technical reportarXiv:2309.05463Yuanzhi Li, Sébastien Bubeck, Ronen Eldan, et al.2023 · 336 citations
6. Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2arXiv:2311.10702Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al.2023 · 207 citations
7. MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse AttentionConference on Neural Information Processing Systems (NeurIPS)Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, et al.2024 · 202 citations
8. Aligning Large Multimodal Models with Factually Augmented RLHFarXiv:2309.14525Zhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 176 citations
9. ToolACE: Winning the Points of LLM Function CallingarXiv:2409.00920Weiwen Liu; Xu Huang; Xingshan Zeng; Xinlong Hao; Shuai Yu; Dexun Li; Shuai Wang; Weinan Gan; Zhengying Liu; Yuanqing Yu; Zezhong Wang; Yuxian Wang; Wu Ning; Yutai Hou; Bin Wang; Chuhan Wu; Xinzhi Wang; Yong Liu; Yasheng Wang; Duyu Tang; Dandan Tu; Lifeng Shang; Xin Jiang; Ruiming Tang; Defu Lian; Qun Liu;, Enhong Chen2024 · 101 citations
10. ChartLlama: A Multimodal LLM for Chart Understanding and GenerationarXiv:2311.16483Yucheng Han, Chi Zhang, Xin Chen, et al.2023 · 99 citations
11. Multi-Agent Collaboration Mechanisms: A Survey of LLMsarXiv:2501.06322Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, et al.2025 · 95 citations
12. MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning AttentionarXiv:2506.13585MiniMax, Aili Chen, Aonian Li, et al.2025 · 66 citations
13. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
14. Phi-4-reasoning Technical ReportarXiv:2504.21318Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.2025 · 64 citations
15. The Mamba in the Llama: Distilling and Accelerating Hybrid ModelsConference on Neural Information Processing Systems (NeurIPS)Junxiong Wang; Daniele Paliotta; Avner May; Alexander M. Rush;, Tri Dao2024 · 59 citations
16. MiniMax-01: Scaling Foundation Models with Lightning AttentionarXiv:2501.08313MiniMax, Aonian Li, Bangwei Gong, et al.2025 · 50 citations
17. Hymba: A Hybrid-head Architecture for Small Language ModelsarXiv:2411.13676Xin Dong, Yonggan Fu, Shizhe Diao, et al.2024 · 50 citations
18. CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationTransactions of the Association for Computational Linguistics (TACL)Ingo Ziegler, Abdullatif Köksal, Desmond Elliott, et al.2025 · 20 citations
19. RNNs are not Transformers (Yet): The Key Bottleneck on In-context RetrievalarXiv:2402.18510Kaiyue Wen, Xingyu Dang, Kaifeng Lyu2024 · 17 citations
20. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and PerformancearXiv:2507.22448Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, et al.2025 · 15 citations
21. Linear Attention Sequence ParallelismarXiv:2404.02882Weigao Sun, Zhen Qin, Dong Li, et al.2024 · 12 citations
22. Distilling LLM Agent into Small Models with Retrieval and Code ToolsarXiv:2505.17612Minki Kang, Jongwon Jeong, Seanie Lee, et al.2025 · 11 citations
23. Longhorn: State Space Models are Amortized Online LearnersarXiv:2407.14207Bo Liu, Rui Wang, Lemeng Wu, et al.2024 · 11 citations
24. Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of RaceAnnual Meeting of the Association for Computational Linguistics (ACL)Lihao Sun, Chengzhi Mao, Valentin Hofmann, et al.2025 · 10 citations
25. Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHFarXiv:2309.09055Simeng Sun, Dhawal Gupta, Mohit Iyyer2023 · 9 citations
26. ArabicSense: A Benchmark for Evaluating Commonsense Reasoning in Arabic with Large Language ModelsWorkshop on Arabic Corpus LinguisticsSalima Lamsiyah, Kamyar Zeinalipour, Samir El amrany, et al.2025 · 7 citations
27. LoopTool: Closing the Data–Training Loop for Robust LLM Tool CallsAnnual Meeting of the Association for Computational Linguistics (ACL)Kangning Zhang, Weiwen Liu, Wenxiang Jiao, et al.2026 · 6 citations
28. Collaborative Multi-Agent Scripts Generation for Enhancing Imperfect-Information Reasoning in Murder Mystery GamesFindings of the Association for Computational LinguisticsKeyang Zhong, Junlin Xie, Hefeng Wu, et al.2026 · 5 citations
29. From 128K to 4M: Efficient Training of Ultra-Long Context Large Language ModelsFindings of the Association for Computational LinguisticsChejian Xu, Wei Ping, Peng Xu, et al.2026 · 5 citations
30. DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree TraversalAnnual Meeting of the Association for Computational Linguistics (ACL)Vaibhav Aggarwal, Ojasv Kamal, Abhinav Japesh, et al.2025 · 4 citations
31. CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Qiushi Sun, Jingyang Gong, Lei Li, et al.2026 · 1 citation
32. FlowHN: Adaptive Token Routing for Efficient Parallel Hybrid NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammad Mahdi Moradi, Walid Ahmed, Shuangyue Wen, et al.2026
33. SynthAgent: Adapting Web Agents with Synthetic SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoyang Wang, Yiming Liang, Xuchao Zhang, et al.2026
34. Understanding In-Context Learning Beyond Transformers: An Investigation of State Space and Hybrid ArchitecturesFindings of the Association for Computational LinguisticsShenran Wang, Timothy Tin-Long Tse, Jian Zhu2026
35. What the Router Sees Matters: Funnel Pooling for Fast, Content Driven Expert RoutingConference of the European Chapter of the Association for Computational Linguistics (EACL)Josef Pichlmeier, Sebastian Nicolas Mueller, Jakob Sturm, et al.2026
36. XLSR-MamBo: Scaling the Hybrid Mamba-Attention Backbone for Audio Deepfake DetectionFindings of the Association for Computational LinguisticsKwok-Ho Ng, Tingting Song, Yongdong WU, et al.2026

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