🧑‍🔬 Who cites Fangzhen Lin

81 citations of their works from 71 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← Fangzhen Lin

1. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
2. VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Haozhe Wang, Chao Qu, Zuming Huang, et al.2025 · 52 citations
3. Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation RecognitionFindings of the Association for Computational LinguisticsYuxin Jiang, Linhan Zhang, Wei Wang2023 · 28 citations
4. START: Self-taught Reasoner with ToolsConference on Empirical Methods in Natural Language Processing (EMNLP)Chengpeng Li, Mingfeng Xue, Zhenru Zhang, et al.2025 · 21 citations
5. Baichuan-M2: Scaling Medical Capability with Large Verifier SystemarXiv:2509.02208Chengfeng Dou, Chong Liu, Fan Yang, et al.2025 · 19 citations
6. AMR-TST: Abstract Meaning Representation-based Text Style TransferKaize Shi, Xueyao Sun, Li He, et al.2023 · 11 citations
7. Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RLarXiv:2505.17952Che Liu, Haozhe Wang, Jiazhen Pan, et al.2025 · 10 citations
8. Skywork R1V2: Multimodal Hybrid Reinforcement Learning for ReasoningarXiv:2504.16656Peiyu Wang, Yichen Wei, Yi Peng, et al.2025 · 10 citations
9. HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget ReallocationConference on Empirical Methods in Natural Language Processing (EMNLP)Feng Xiong, Hongling Xu, Yifei Wang, et al.2025 · 9 citations
10. Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chongyuan Dai, Jinpeng Hu, Hongchang Shi, et al.2026 · 8 citations
11. Survey of Abstract Meaning Representation: Then, Now, FutureBehrooz Mansouri2025 · 8 citations
12. Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing DatasetFindings of the Association for Computational LinguisticsBaode Wang, Biao Wu, Weizhen Li, et al.2026 · 4 citations
13. Forest Before Trees: Latent Superposition for Efficient Visual ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yubo Wang, Juntian Zhang, Yichen Wu, et al.2026 · 3 citations
14. AdaTooler-V: Adaptive Tool-Use for Images and VideosFindings of the Association for Computational LinguisticsChaoyang Wang, Kaituo Feng, Dongyang Chen, et al.2026 · 2 citations
15. DeepMed: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & InferenceFindings of the Association for Computational LinguisticsZihan Wang, Hao Wang, Shi Feng, et al.2026 · 1 citation
16. Visually-Guided Policy Optimization for Multimodal ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Zengbin Wang, Feng Xiong, Liang Lin, et al.2026 · 1 citation
17. A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Yang, Sihong Wu, Yilun Zhao, et al.2026
18. Benchmarking Deflection and Hallucination in Large Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nicholas Moratelli, Christopher Davis, Leonardo F. R. Ribeiro, et al.2026
19. Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning ModelsFindings of the Association for Computational LinguisticsHoang Phan, Xianjun Yang, Yuanshun Yao, et al.2026
20. Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Minghe Shen, Zhuo Zhi, Chonghan Liu, et al.2026
21. DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Guangming Qin, Yuhao Deng, Yukun Zhao, et al.2026
22. From Short Video to Clickable Search: RLVR-Enabled Listwise Query Suggestion with Retrieval-Augmented ContextAnnual Meeting of the Association for Computational Linguistics (ACL)Mingkai Tian, Xuye, Long Meng, et al.2026
23. 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
24. MDocRAG-RL: Empowering Multi-Modal Document RAG via Complex Visual Reasoning with Reinforcement LearningFindings of the Association for Computational LinguisticsZhongyu Wang2026
25. MedKInstruct: A Multimodal Knowledge Graph Based Framework for Multi-Hop and Hard-Negative Instruction Data Synthesis in MedVQAFindings of the Association for Computational LinguisticsYinan Wu, Jihang Jin, Xuhao Bao, et al.2026
26. Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesLanguage Resources and Evaluation Conference (LREC)Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026
27. Scaling is Not All You Need: Clinical-Oriented Reinforcement Learning Makes Parameter-Efficient Clinical ReasoningFindings of the Association for Computational LinguisticsChi Liu, Yan Shu, Mengzhuo Chen, et al.2026
28. VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Wenyi Xiao, Xinchi XU, Leilei Gan2026

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