🧑‍🔬 Who cites Runming Yang

59 citations of their works from 59 papers of our library (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · ← Runming Yang

1. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
2. Dual-Space Knowledge Distillation for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Songming Zhang, Xue Zhang, Zengkui Sun, et al.2024 · 39 citations
3. ToDi: Token-wise Distillation via Fine-Grained Divergence ControlConference on Empirical Methods in Natural Language Processing (EMNLP)Seongryong Jung, Suwan Yoon, DongGeon Kim, et al.2025 · 12 citations
4. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
5. RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language ModelsarXiv:2406.01983Bichen Wang, Yuzhe Zi, Yixin Sun, et al.2024 · 12 citations
6. STRIDE-ED: A Strategy-Grounded Stepwise Reasoning Framework for Empathetic Dialogue SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongru Ji, Yuyin Fan, Meng Zhao, et al.2026 · 10 citations
7. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
8. PERM: Psychology-grounded Empathetic Reward Modeling for Large Language ModelsFindings of the Association for Computational LinguisticsChengbing Wang, Wuqiang Zheng, Yang Zhang, et al.2026 · 8 citations
9. Beyond Logits: Aligning Feature Dynamics for Effective Knowledge DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Guoqiang Gong, Jiaxing Wang, Jin Xu, et al.2025 · 7 citations
10. Enhancing Knowledge Distillation of Large Language Models through Efficient Multi-Modal Distribution AlignmentInternational Conference on Computational Linguistics (COLING)Tianyu Peng, Jiajun Zhang2025 · 6 citations
11. LLM-Oriented Token-Adaptive Knowledge DistillationarXiv:2510.11615Xurong Xie, Zhucun Xue, Jiafu Wu, et al.2025 · 6 citations
12. Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Anshumann, Mohd Abbas Zaidi, Akhil Kedia, et al.2025 · 6 citations
13. Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language ModelsarXiv:2508.06135Lingyuan Liu, Mengxiang Zhang2025 · 4 citations
14. Behavior Knowledge Merge in Reinforced Agentic ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchi Yuan, Dachuan Shi, Chunhui Zhang, et al.2026 · 3 citations
15. From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM QuantizationFindings of the Association for Computational LinguisticsChenxi Zhou, Pengfei Cao, Jiang Li, et al.2026 · 1 citation
16. Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and DistillationFindings of the Association for Computational LinguisticsHaonan Shangguan, Xiaocui Yang, Shi Feng, et al.2026 · 1 citation

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