🧑‍🔬 Who cites Zifeng Wang

374 citations of their works from 371 papers of our library (of the 149,439 whose bibliographies we read) · 91 with a page here, the most cited first · ← Zifeng Wang

1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
2. Unifying Large Language Models and Knowledge Graphs: A RoadmapIEEE Transactions on Knowledge and Data EngineeringShirui Pan, Linhao Luo, Yufei Wang, et al.2023 · 1,551 citations
3. Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Haokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 754 citations
4. A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and ApplicationsarXiv:2402.07927Pranab Sahoo; Ayush Kumar Singh; Sriparna Saha; Vinija Jain; Samrat Mondal;, Aman Chadha2024 · 375 citations
5. Graph Retrieval-Augmented Generation: A SurveyACM Transactions on Information SystemsBoci Peng, Yun Zhu, Yongchao Liu, et al.2024 · 276 citations
6. HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 268 citations
7. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
8. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
9. Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-steparXiv:2402.16906Li Zhong, Zilong Wang, Jingbo Shang2024 · 124 citations
10. ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Akari Asai, Mohammadreza Salehi, Matthew Peters, et al.2022 · 122 citations
11. Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language ModelsarXiv:2601.18734Siyan Zhao, Zhihui Xie, Mengchen Liu, et al.2026 · 97 citations
12. AFlow: Automating Agentic Workflow GenerationarXiv:2410.10762Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, et al.2024 · 95 citations
13. Retrieval-Augmented Generation with Graphs (GraphRAG)arXiv:2501.00309Haoyu Han, Yu Wang, Harry Shomer, et al.2025 · 87 citations
14. Paths-over-Graph: Knowledge Graph Empowered Large Language Model ReasoningarXiv:2410.14211Xingyu Tan, Xiaoyang Wang, Qing Liu, et al.2024 · 80 citations
15. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
16. Exploring the Benefits of Training Expert Language Models over Instruction TuningarXiv:2302.03202Joel Jang, Seungone Kim, Seonghyeon Ye, et al.2023 · 63 citations
17. S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Ruotian Ma, Peisong Wang, Cheng Liu, et al.2025 · 26 citations
18. Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Peiying Yu, Guoxin Chen, Jingjing Wang2025 · 25 citations
19. Baichuan-M1: Pushing the Medical Capability of Large Language ModelsarXiv:2502.12671Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.2025 · 24 citations
20. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
21. Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMsInternational Conference on Computational Linguistics (COLING)Yu Xia, Rui Wang, Xu Liu, et al.2025 · 19 citations
22. Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented ReasoningConference on Neural Information Processing Systems (NeurIPS)Yaorui Shi, Sihang Li, Chang Wu, et al.2025 · 18 citations
23. Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language ModelsarXiv:2411.02382Guangzhi Xiong, Eric Xie, Amir Hassan Shariatmadari, et al.2024 · 16 citations
24. MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Chanwoo Park, Seungju Han, Xingzhi Guo, et al.2025 · 15 citations
25. Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Runxuan Liu, Bei Luo, Jiaqi Li, et al.2025 · 15 citations
26. Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Hengyuan Zhang, Shiping Yang, Xiao Liang, et al.2026 · 13 citations
27. Learning from Diverse Reasoning Paths with Routing and CollaborationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenyu Lei, Zhen Tan, Song Wang, et al.2025 · 11 citations
28. BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Miao, Yixin Liu, Yili Wang, et al.2026 · 10 citations
29. AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent PredictionConference on Empirical Methods in Natural Language Processing (EMNLP)Song Wang, Zhen Tan, Zihan Chen, et al.2025 · 10 citations
30. RoT: Enhancing Table Reasoning with Iterative Row-Wise TraversalsConference on Empirical Methods in Natural Language Processing (EMNLP)Xuanliang Zhang, Dingzirui Wang, Keyan Xu, et al.2025 · 10 citations
31. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations
32. TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyi He, Yihao Liu, Mengyu Zhou, et al.2025 · 8 citations
33. MetaScale: Test-Time Scaling with Evolving Meta-ThoughtsFindings of the Association for Computational LinguisticsQin Liu, Wenxuan Zhou, Nan Xu, et al.2026 · 7 citations
34. TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Junnan Zhu, Jingyi Wang, Bohan Yu, et al.2025 · 7 citations
35. Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge DistillationarXiv:2603.13260Minsang Kim, Seung Jun Baek2026 · 6 citations
36. 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
37. Weaver: Interweaving SQL and LLM for Table ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Rohit Khoja, Devanshu Gupta, Yanjie Fu, et al.2025 · 6 citations
38. GAM: Hierarchical Graph-based Agentic Memory for LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaofen Wu, Hanrong Zhang, Fulin Lin, et al.2026 · 5 citations
39. AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Hong Ting Tsang, Jiaxin Bai, Haoyu Huang, et al.2026 · 4 citations
40. When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale TablesAnnual Meeting of the Association for Computational Linguistics (ACL)Shenghao Ye, Yu Guo, Dong Jin, et al.2026 · 4 citations
41. Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Yuming Yang, Mingyoung Lai, Wanxu Zhao, et al.2026 · 4 citations
42. From Storage to Experience: A Survey on the Evolution of LLM Agent Memory MechanismsFindings of the Association for Computational LinguisticsJinghao Luo, Yuchen Tian, Chuxue Cao, et al.2026 · 3 citations
43. Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution ReconstructionFindings of the Association for Computational LinguisticsXu Shen, Qi Zhang, Song Wang, et al.2026 · 3 citations
44. MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Biao Wu, Yutong Xie, Zeyu Zhang, et al.2026 · 3 citations
45. AdaMARP: An Adaptive Multi-Agent Interaction Framework for General Immersive Role-PlayingFindings of the Association for Computational LinguisticsZhenhua Xu, Dongsheng Chen, Shuo Wang, et al.2026 · 2 citations
46. ClaimDB: A Fact Verification Benchmark over Large Structured DataAnnual Meeting of the Association for Computational Linguistics (ACL)Michael Theologitis, Preetam Prabhu Srikar Dammu, Chirag Shah, et al.2026 · 2 citations
47. Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL)Lei Tang, Wei Zhou, Mohsen Mesgar2026 · 2 citations
48. On-Policy Self-Distillation for Efficient Diffusion Language Models with Early-Stage CalibrationFindings of the Association for Computational LinguisticsHuaisheng Zhu, MingYu Liu, Junze Liu, et al.2026 · 2 citations
49. Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Zhou, Bolei Ma, Annemarie Friedrich, et al.2026 · 2 citations
50. AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular DataarXiv:2507.18442Rana Alshaikh, Israa Alghanmi, Shelan Jeawak2025 · 2 citations
51. Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyuan Yang, Wenxuan Ding, Shangbin Feng, et al.2026 · 1 citation
52. Building LLMs Like LEGO: Two-dimensional Architecture Reassembly of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xingyu Wu, Yu Zhou, KC Tan2026 · 1 citation
53. CoReTab: Improving Multimodal Table Understanding with Code-driven ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Van-Quang Nguyen, Takayuki Okatani2026 · 1 citation
54. Efficient Table Retrieval and Understanding with Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsZhuoyan Xu, Haoyang Fang, Boran Han, et al.2026 · 1 citation
55. H-Mem: Hybrid Multi-Dimensional Memory Management for Long-Context Conversational AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zihe Ye, Jingyuan Huang, Weixin Chen, et al.2026 · 1 citation
56. Thinking Beyond the Local: Multi-View Instructed Adaptive Reasoning in KG-Enhanced LLMsFindings of the Association for Computational LinguisticsMinghan Zhang, Shu Zhao, Zhen Yang, et al.2026 · 1 citation
57. A Survey of Large Language Model-Based Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunjia Xi, Jianghao Lin, Yongzhao Xiao, et al.2026
58. Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual LearningFindings of the Association for Computational LinguisticsZheng Wu, Xingyu Lou, Xinbei Ma, et al.2026
59. Asking language models how to represent data for fine-tuningWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraUsneek Singh, Ananya Singha, Abhijeet Awasthi, et al.2026
60. Balancing Knowledge Breadth and Task Depth for Effective Domain Adaptation Fine-TuningFindings of the Association for Computational LinguisticsMu Zhang, Yuxiang Chu, Guangya Yu, et al.2026
61. BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMsFindings of the Association for Computational LinguisticsMainak Singha, Tanisha Gupta, Ankit Jha, et al.2026
62. Can LLMs Self-Correct Table Reasoning Errors?Workshop on Structured Understanding, Retrieval, and Generation in the LLM EraFarseen Shaikh2026
63. Context-Value-Action Architecture for Value-Driven Large Language Model AgentsFindings of the Association for Computational LinguisticsTianZe Zhang, Sirui Sun, Yuhang Xie, et al.2026
64. DarwinTOD: LLM-Driven Lifelong Self-evolution for Task-oriented Dialog SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Shuyu Zhang, Yujie Liu, Xinru Wang, et al.2026
65. 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
66. Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Derong Xu, Shuochen Liu, Pengfei Luo, et al.2026
67. MemBuilder: Reinforcing LLMs for Long-Term Memory Construction via Attributed Dense RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyu Shen, Ziming Wu, Fuming Lai, et al.2026
68. MemCoRL: Alternating Co-Optimization of Memory Retrieval and Utilization via Collaborative Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuewen Liu, Peng Xu, Muxi Diao, et al.2026
69. MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational AgentsFindings of the Association for Computational LinguisticsHung Pham Van, Nguyen Manh Hieu, Khang Pham Tran Tuan, et al.2026
70. Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhang Zhou, Mingrui Zhang, Ke Li, et al.2026
71. MPBoCo: Multimodal Prompt-based Boundary-enhanced Continual Framework for Joint Entity and Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Guanglu Sun, Xinyu Liu, Lili Liang, et al.2026
72. NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL)Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, et al.2026
73. Quantifying Retrieval Quality in GraphRAG: A Schema-Agnostic ApproachKnowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26Thibaud Vanmechelen, Alexandre Achten, Zaineb Gabsi, et al.2026
74. Reasoning with Memory: Adaptive Information Management for Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsHieu Man, Ro-ee Tal, Abhishek Kumar, et al.2026
75. Reasoning with Ontology Graph: Toward Type-Constrained Knowledge Graph Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxue Shan, Jie Peng, Zixuan Dong, et al.2026
76. Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展)Acta Automatica Sinica (自动化学报)Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.2026
77. Reflective RAG: Self-Evaluation Driven Strategy Optimization in Agentic Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsHaiyan Wu, Chenchen Wang, Chaoqun Sun, et al.2026
78. Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyi Niu, Justin Chen, Genta Indra Winata, et al.2026
79. SAMem: State-Aware Memory as a Fine-Grained Memory for LLM Agents in Decision-MakingFindings of the Association for Computational LinguisticsTong Wang, Pei Xu, Shiyue Cao, et al.2026
80. SLoRA: Balancing Plasticity and Forgetting in Large Language Models for Continual LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Lina Yang, Yusheng Liao, Yanfeng Wang, et al.2026
81. SMART: Semantic Header Flattening and Pseudo-Code-Style Reasoning for LLM-based Complex Table Question AnsweringFindings of the Association for Computational LinguisticsYongshuo Zhang, Jixiong Chen, Kaihe xu, et al.2026
82. Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yitong Wang, Xue Han, WenChun Gao, et al.2026
83. Table-R1: Region-based Reinforcement Learning for Table UnderstandingFindings of the Association for Computational LinguisticsZhenhe Wu, Jian Yang, Zhongjiang He, et al.2026
84. Think Like You Execute: Verifiable Chain of Thought from Program TracesAnnual Meeting of the Association for Computational Linguistics (ACL)Shailja Thakur, Vaibhav Saxena, Rohan Kulkarni, et al.2026
85. Toward Consistent World Models with Multi-Token Prediction and Latent Semantic EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Qimin Zhong, Hao Liao, Haiming Qin, et al.2026
86. Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Houxing Ren, Mingjie Zhan, Zimu Lu, et al.2026
87. Training-Free Test-Time Contrastive Learning for Large Language ModelsFindings of the Association for Computational LinguisticsKaiwen Zheng, Kai Zhou, Jinwu Hu, et al.2026
88. TrustTable: A Neuro-Symbolic Auditing Framework for Faithful Table QAAnnual Meeting of the Association for Computational Linguistics (ACL)Guangzhen Zhao, Dechang Kong, Tongyu Wu, et al.2026
89. Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-AuditingAnnual Meeting of the Association for Computational Linguistics (ACL)Wenhao Yuan, Chenchen Lin, Jian Chen, et al.2026
90. ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language ModelsLanguage Resources and Evaluation Conference (LREC)Duy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.2026
91. What Question Did You Answer? Refining Contact Center Evaluation Plans via Backward QuestionsAnnual Meeting of the Association for Computational Linguistics (ACL)Prajwal Sood, Rushikesh Pawar, Digvijay Anil Ingle, et al.2026

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