🧑‍🔬 Who cites Yi Peng

33 citations of their works from 29 papers of our library (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · ← Yi Peng

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. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
3. Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Xuan, Qingcheng Zeng, Heli Qi, et al.2025 · 11 citations
4. Skywork R1V2: Multimodal Hybrid Reinforcement Learning for ReasoningarXiv:2504.16656Peiyu Wang, Yichen Wei, Yi Peng, et al.2025 · 10 citations
5. Skywork-R1V3 Technical ReportarXiv:2507.06167Wei Shen, Jiangbo Pei, Yi Peng, et al.2025 · 6 citations
6. 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
7. Step-Audio-R1 Technical ReportarXiv:2511.15848Fei Tian, Xiangyu Tony Zhang, Yuxin Zhang, et al.2025 · 3 citations
8. 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
9. A Cascade Reinforcement Learning Strategy for Efficiently Enhancing the Reasoning Ability of Multimodal Large Language Models (高效提升多模态大语言模型推理能力的级联强化学习策略)Acta Automatica Sinica (自动化学报)Weiyun Wang (王玮赟), Hengjun Pu (蒲恒骏), Linglin Jing (景凌林), et al.2026

20 more citing papers of our library have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yi-peng/cited-by/