🧑‍🔬 Who cites Xingwu Sun

98 citations of their works from 98 papers of our library (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · ← Xingwu Sun

1. Large Language Models are Better Reasoners with Self-VerificationFindings of the Association for Computational LinguisticsYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 304 citations
2. Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts ArchitecturearXiv:2306.16092Jiaxi Cui; Munan Ning; Zongjian Li; Bohua Chen; Yang Yan; Hao Li; Bin Ling; Yonghong Tian;, Li Yuan2023 · 248 citations
3. Addressing Semantic Drift in Question Generation for Semi-Supervised Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Shiyue Zhang, Mohit Bansal2019 · 174 citations
4. HunyuanVideo: A Systematic Framework For Large Video Generative ModelsarXiv:2412.03603Weijie Kong, Qi Tian, Zijian Zhang, et al.2024 · 169 citations
5. Semantic Graphs for Generating Deep QuestionsAnnual Meeting of the Association for Computational Linguistics (ACL)Liangming Pan, Yuxi Xie, Yansong Feng, et al.2020 · 134 citations
6. Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by TencentarXiv:2411.02265Xingwu Sun, Yanfeng Chen, Yiqing Huang, et al.2024 · 25 citations
7. Beyond Dialogue: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Yeyong Yu, Runsheng Yu, Haojie Wei, et al.2025 · 10 citations
8. Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-ThoughtarXiv:2505.15431Tencent Hunyuan Team, Ao Liu, Botong Zhou, et al.2025 · 10 citations
9. Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUsarXiv:2505.04519Yehui Tang, Yichun Yin, Yaoyuan Wang, et al.2025 · 8 citations
10. Hunyuan-A13B Technical ReportarXiv:2609.27284Tencent Hunyuan Team, Ao Liu, Botong Zhou, et al.2026 · 1 citation
11. HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop QuestionsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyu Shen, Jiyuan Liu, Yunhe Pang, et al.2026
12. Mixture of Heterogeneous Grouped Experts for Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhicheng Ma, Xiang Liu, Zhaoxiang Liu, et al.2026
13. Profiling-Free Mixed-Precision Quantization for MoE LLMs via Fuzzy Rule InterpolationAnnual Meeting of the Association for Computational Linguistics (ACL)Huachen Qi, Ruiyu Zhuo, Bowen Shi, et al.2026

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