🧑‍🔬 Who cites Yusen Zhang

195 citations of their works from 194 papers of our library (of the 149,439 whose bibliographies we read) · 38 with a page here, the most cited first · ← Yusen Zhang

1. UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianbao Xie, Chen Henry Wu, Peng Shi, et al.2022 · 407 citations
2. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
3. Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMsarXiv:2412.21187Xingyu Chen, Jiahao Xu, Tian Liang, et al.2024 · 192 citations
4. Training Language Models to Self-Correct via Reinforcement LearningarXiv:2409.12917Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, et al.2024 · 159 citations
5. ProcessBench: Identifying Process Errors in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chujie Zheng, Zhenru Zhang, Beichen Zhang, et al.2025 · 116 citations
6. Multi-Step Reasoning with Large Language Models, a SurveyACM Computing SurveysAske Plaat, Annie Wong, Suzan Verberne, et al.2024 · 106 citations
7. Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?Annual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.2025 · 38 citations
8. CompAct: Compressing Retrieved Documents Actively for Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, et al.2024 · 34 citations
9. PPTAgent: Generating and Evaluating Presentations Beyond Text-to-SlidesConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Zheng, Xinyan Guan, Hao Kong, et al.2025 · 30 citations
10. Understanding the Dark Side of LLMs' Intrinsic Self-CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Qingjie Zhang, Di Wang, Haoting Qian, et al.2025 · 21 citations
11. MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Justin Chen, Archiki Prasad, Swarnadeep Saha, et al.2025 · 20 citations
12. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language ModelsarXiv:2503.24377Rui Wang, Hongru Wang, Boyang Xue, et al.2025 · 16 citations
13. Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Xu Shen, Yixin Liu, Yiwei Dai, et al.2025 · 15 citations
14. Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhe Yang, Yichang Zhang, Yudong Wang, et al.2025 · 11 citations
15. An Empirical Study of LLM-as-a-Judge: How Design Choices Impact Evaluation ReliabilityWorkshop on Generation, Evaluation and Metrics (GEM)Yusuke Yamauchi, Taro Yano, Masafumi Oyamada2026 · 10 citations
16. AlphaOne: Reasoning Models Thinking Slow and Fast at Test TimeConference on Empirical Methods in Natural Language Processing (EMNLP)Junyu Zhang, Runpei Dong, Han Wang, et al.2025 · 10 citations
17. ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QAConference on Empirical Methods in Natural Language Processing (EMNLP)Zhao Xinjie, Fan Gao, Xingyu Song, et al.2025 · 8 citations
18. The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate ItConference on Empirical Methods in Natural Language Processing (EMNLP)Leonardo Bertolazzi, Philipp Mondorf, Barbara Plank, et al.2025 · 6 citations
19. Exploring Iterative Controllable Summarization with Large Language ModelsFindings of the Association for Computational LinguisticsSangwon Ryu, Heejin Do, Daehui Kim, et al.2026 · 2 citations
20. From Belief Entrenchment to Robust Reasoning in LLM AgentsTransactions of the Association for Computational Linguistics (TACL)Jihwan Oh, Minchan Jeong, Jongwoo Ko, et al.2026 · 2 citations
21. Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the FutureAnnual Meeting of the Association for Computational Linguistics (ACL)Sihong Wu, Owen Jiang, Yilun Zhao, et al.2026 · 1 citation
22. From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language ModelsFindings of the Association for Computational LinguisticsJiaxin Zhang, Wendi Cui, Zhuohang Li, et al.2026 · 1 citation
23. KG-MuLQA: A Framework for KG-based Multi-Level QA Extraction and Long-Context LLM EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Nikita Tatarinov, Vidhyakshaya Kannan, Haricharana Srinivasa, et al.2026 · 1 citation
24. ROSCO-Omni: Multimodal LLM-Based Communication Understanding for Non- and Minimally-Speaking Autistic IndividualsFindings of the Association for Computational LinguisticsSiddhant Bikram Shah, Kristina T. Johnson2026 · 1 citation
25. Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent CollaborationAnnual Meeting of the Association for Computational Linguistics (ACL)Zijun Liu, Zhennan Wan, Peng Li, et al.2026 · 1 citation
26. Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Sangwon Ryu, Heejin Do, Yunsu Kim, et al.2026
27. Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language ModelsFindings of the Association for Computational LinguisticsXudong Wang, Chaoning Zhang, Chenghao Li, et al.2026
28. ARCHITECT: Uncertainty-Aware Dynamic Tool Learning via Causal Intervention for Open-World AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhangyi Wang, Jiexiang Xu, Bingnan Yu, et al.2026
29. Boosting Self-Consistency with RankingAnnual Meeting of the Association for Computational Linguistics (ACL)Maria Marina, Daniil Moskovskiy, Sergey Pletenev, et al.2026
30. Can LLMs Self-Correct Table Reasoning Errors?Workshop on Structured Understanding, Retrieval, and Generation in the LLM EraFarseen Shaikh2026
31. CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic PressuresConference of the European Chapter of the Association for Computational Linguistics (EACL)Punya Syon Pandey, Yongjin Yang, Jiarui Liu, et al.2026
32. Feedback Is The Key for Automated Survey GenerationFindings of the Association for Computational LinguisticsTianyi Xu, Zhe Zhao, Tianshuo Wei, et al.2026
33. NeuralFSM: Adaptive Multi-Agent Coordination via Learning Finite-State Execution PolicyAnnual Meeting of the Association for Computational Linguistics (ACL)Jiye Wang, Yu Wang, Jianbin Li, et al.2026
34. PACE: Predictive Adaptive Context Extraction for Long-Horizon LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Wei, Xiao Peng, Tt, et al.2026
35. PropGenie: A Multi-Agent Conversational Framework for Real Estate AssistanceConference of the European Chapter of the Association for Computational Linguistics (EACL)Chang Shen, Shaozu Yuan, Kuizong Wu, et al.2026
36. Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity RecognitionFindings of the Association for Computational LinguisticsQi Zhang, Fangping Lan, Cornelia Caragea, et al.2026
37. TeachMaster: Generative Teaching via CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Yuheng Wang, Runde Yang, Lin Wu, et al.2026
38. ThreadSumm: Summarization of Nested Discourse Threads Using Tree of ThoughtsAnnual Meeting of the Association for Computational Linguistics (ACL)Olubusayo Olabisi, Ekata Mitra, Ameeta Agrawal2026

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