🧑‍🔬 Who cites Xingchen Wan

58 citations of their works from 58 papers of our library (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← Xingchen Wan

1. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
2. Retrieval-Augmented Generation with Graphs (GraphRAG)arXiv:2501.00309Haoyu Han, Yu Wang, Harry Shomer, et al.2025 · 87 citations
3. Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model EvaluatorsarXiv:2403.16950Yinhong Liu, Han Zhou, Zhijiang Guo, et al.2024 · 76 citations
4. RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and RefinementConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jinhao Jiang, Jiayi Chen, Junyi Li, et al.2025 · 31 citations
5. Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMsFindings of the Association for Computational LinguisticsGuangtao Lyu, Qi Liu, Chenghao Xu, et al.2026 · 5 citations
6. Towards Context-Robust LLMs: A Gated Representation Fine-tuning ApproachAnnual Meeting of the Association for Computational Linguistics (ACL)Shenglai Zeng, Pengfei He, Kai Guo, et al.2025 · 5 citations
7. Self-Evolving Multi-Agent Systems via Textual BackpropagationFindings of the Association for Computational LinguisticsXiaowen Ma, Yunpu Ma, Chenyang Lin, et al.2026 · 3 citations
8. Agentic Conversational Search with Contextualized Reasoning via Reinforcement LearningFindings of the Association for Computational LinguisticsFengran Mo, Yifan Gao, Sha Li, et al.2026 · 2 citations
9. ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition ModelingFindings of the Association for Computational LinguisticsZhipeng Xu, Zhenghao Liu, Yukun Yan, et al.2026 · 2 citations
10. Context-attended Adversarial Reinforcement Learning for Robust Multi-step Retrieval Augmented GenerationFindings of the Association for Computational LinguisticsYingtao Ren, Xiao Luo, Yu-Cheng Chang, et al.2026 · 1 citation
11. TempPerturb-Eval: On the Joint Effects of Internal Temperature and External Perturbations in RAG RobustnessLanguage Resources and Evaluation Conference (LREC)Yongxin Zhou, Philippe Mulhem, Didier Schwab2026 · 1 citation
12. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Acta Automatica Sinica (自动化学报)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026
13. AED-RAG: Continuous Multi-Granular Context Fusion for Retrieval-Augmented Generation via Adaptive Ensemble DecodingFindings of the Association for Computational LinguisticsJunzhe Zhou, Fulin Lin, Tairan Cheng, et al.2026
14. Conjecture and Inquiry: Quantifying Software Performance Requirements via Interactive Retrieval-Augmented Preference ElicitationFindings of the Association for Computational LinguisticsShihai Wang, Tao Chen2026
15. Dissecting GraphRAG: A Modular Analysis of Knowledge Structuring for Factoid Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Noriki Nishida, Rumana Ferdous Munne, Shanshan Liu, et al.2026
16. PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval CorruptionFindings of the Association for Computational LinguisticsXue Tan, Yi Zheng, Chang Huo, et al.2026
17. Training-Free Test-Time Contrastive Learning for Large Language ModelsFindings of the Association for Computational LinguisticsKaiwen Zheng, Kai Zhou, Jinwu Hu, et al.2026
18. When Facts Change: Temporal Knowledge Conflict Resolution in LLMsFindings of the Association for Computational LinguisticsJonas Wallat, Wolfgang Nejdl, Sandipan Sikdar2026

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