---
title: "Who cites Cheng Hong Yang — page 2 — 947 citing papers"
description: "947 papers of the Elamur Research library cite the works of Cheng Hong Yang, found in their bibliographies · page 2 of 3 · 101–200; the most…"
canonical: "https://research.elamur.ai/free/en/authors/cheng-hong-yang/cited-by/page/2/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/cheng-hong-yang/cited-by/page/2/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Cheng Hong Yang](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/) / [cited by](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/cited-by/) / page 2

# Who cites Cheng Hong Yang

1,109 citations of their works from 947 papers of our library (of the 149,439 whose bibliographies we read) · 227 with a page here, the most cited first · page 2 of 3 · 101–200 · [← Cheng Hong Yang](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/)

[← prev](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/cited-by/) **2** [3](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/cited-by/page/3/) [next →](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/cited-by/page/3/)

101. **[OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI](https://md.research.elamur.ai/free/en/papers/huang-2024-olympicarena-benchmarking-multi-discipline-cognitive/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zhen Huang, Zengzhi Wang, Shijie Xia, et al.*2024 · 56 citations*
102. [**A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond arXiv:2503.21614**Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.*2025 · 55 citations*](https://md.research.elamur.ai/free/en/papers/qu-2025-survey-efficient-reasoning-large-reasoning/)
103. **[Hello Again! LLM-powered Personalized Agent for Long-term Dialogue](https://md.research.elamur.ai/free/en/papers/li-2025-hello-again-llm-powered-personalized/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hao Li, Chenghao Yang, An Zhang, et al.*2025 · 55 citations*
104. [**AI Agents That Matter arXiv:2407.01502**Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, et al.*2024 · 55 citations*](https://md.research.elamur.ai/free/en/papers/kapoor-2024-ai-agents-that-matter/)
105. **[SciAgent: Tool-augmented Language Models for Scientific Reasoning](https://md.research.elamur.ai/free/en/papers/ma-2024-sciagent-tool-augmented-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yubo Ma, Zhibin Gou, Junheng Hao, et al.*2024 · 55 citations*
106. **[Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization](https://md.research.elamur.ai/free/en/papers/zhang-2024-agent-pro-learning-evolve-policy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqi Zhang, Ke Tang, Hai Wu, et al.*2024 · 52 citations*
107. **[HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model](https://md.research.elamur.ai/free/en/papers/hu-2025-hiagent-hierarchical-working-memory-management/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mengkang Hu, Tianxing Chen, Qiguang Chen, et al.*2025 · 49 citations*
108. **[AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?](https://md.research.elamur.ai/free/en/papers/yoran-2024-assistantbench-can-web-agents-solve/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, et al.*2024 · 46 citations*
109. **[Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System](https://md.research.elamur.ai/free/en/papers/su-2025-many-heads-are-better-than/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoyang Su, Renqi Chen, Shixiang Tang, et al.*2025 · 40 citations*
110. [**Observational Scaling Laws and the Predictability of Language Model Performance arXiv:2405.10938**Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto*2024 · 40 citations*](https://md.research.elamur.ai/free/en/papers/ruan-2024-observational-scaling-laws-predictability-language/)
111. **[APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay](https://md.research.elamur.ai/free/en/papers/prabhakar-2025-apigen-mt-agentic-pipeline-multi/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Akshara Prabhakar, Zuxin Liu, Ming Zhu, et al.*2025 · 36 citations*
112. **[MasRouter: Learning to Route LLMs for Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/yue-2025-masrouter-learning-route-llms-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yanwei Yue, Guibin Zhang, Boyang Liu, et al.*2025 · 35 citations*
113. **[ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios](https://md.research.elamur.ai/free/en/papers/ye-2025-tooleyes-fine-grained-evaluation-tool/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Junjie Ye, Guanyu Li, SongYang Gao, et al.*2025 · 35 citations*
114. [**Symbolic Learning Enables Self-Evolving Agents arXiv:2406.18532**Wangchunshu Zhou, Yixin Ou, Shengwei Ding, et al.*2024 · 34 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2024-symbolic-learning-enables-self-evolving/)
115. **[G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems](https://md.research.elamur.ai/free/en/papers/wang-2025-g-safeguard-topology-guided-security/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shilong Wang, Guibin Zhang, Miao Yu, et al.*2025 · 30 citations*
116. **[AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration](https://md.research.elamur.ai/free/en/papers/wang-2025-agentdropout-dynamic-agent-elimination-token/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhexuan Wang, Yutong Wang, Xuebo Liu, et al.*2025 · 29 citations*
117. **[PaSa: An LLM Agent for Comprehensive Academic Paper Search](https://md.research.elamur.ai/free/en/papers/he-2025-pasa-llm-agent-comprehensive-academic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yichen He, Guanhua Huang, Peiyuan Feng, et al.*2025 · 29 citations*
118. **[LLM Agents Making Agent Tools](https://md.research.elamur.ai/free/en/papers/wolflein-2025-llm-agents-making-agent-tools/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Georg Wölflein, Dyke Ferber, Daniel Truhn, et al.*2025 · 27 citations*
119. [**Sentiment Analysis through LLM Negotiations arXiv:2311.01876**Xiaofei Sun, Xiaoya Li, Shengyu Zhang, et al.*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-sentiment-analysis-through-llm-negotiations/)
120. **[Aligning LLMs with Individual Preferences via Interaction](https://md.research.elamur.ai/free/en/papers/wu-2025-aligning-llms-individual-preferences-interaction/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Shujin Wu, Yi R. Fung, Cheng Qian, et al.*2025 · 24 citations*
121. [**TeleChat Technical Report arXiv:2401.03804**Zhongjiang He, Zihan Wang, Xinzhang Liu, et al.*2024 · 24 citations*](https://md.research.elamur.ai/free/en/papers/he-2024-telechat-technical-report/)
122. **[AI4Research: A Survey of Artificial Intelligence for Scientific Research](https://md.research.elamur.ai/free/en/papers/chen-2025-ai4research-survey-artificial-intelligence/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Mingda Yang, Libo Qin, et al.*2025 · 21 citations*
123. **[CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2025-codetree-agent-guided-tree-search/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jierui Li, Hung Le, Yingbo Zhou, et al.*2025 · 21 citations*
124. **[LLMs Can Simulate Standardized Patients via Agent Coevolution](https://md.research.elamur.ai/free/en/papers/du-2025-llms-can-simulate-standardized-patients/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhuoyun Du, Lujie Zheng, Renjun Hu, et al.*2025 · 20 citations*
125. **[StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yu-2024-steptool-enhancing-multi-step-tool/) [ACM International Conference on Information and Knowledge Management (CIKM)](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-information-and-knowledge-management-cikm/)**Yuanqing Yu, Zhefan Wang, Weizhi Ma, et al.*2024 · 20 citations*
126. [**Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation arXiv:2407.08940**Biqing Qi, Kaiyan Zhang, Kai Tian, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/qi-2024-large-language-models-biomedical-hypothesis/)
127. **[BAREC Shared Task 2025 on Arabic Readability Assessment](https://md.research.elamur.ai/free/en/papers/elmadani-2025-barec-shared-task-2025-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Khalid N. Elmadani, Bashar Alhafni, Hanada Taha, et al.*2025 · 18 citations*
128. [**MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving arXiv:2503.03205**Ruida Wang, Rui Pan, Yuxin Li, et al.*2025 · 18 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-ma-lot-model-collaboration-lean/)
129. **[OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use](https://md.research.elamur.ai/free/en/papers/hu-2025-os-agents-survey-mllm-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xueyu Hu, Tao Xiong, Biao Yi, et al.*2025 · 17 citations*
130. **[Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger](https://md.research.elamur.ai/free/en/papers/li-2025-adaptive-tool-use-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenjun Li, Dexun Li, Kuicai Dong, et al.*2025 · 16 citations*
131. **[FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/lin-2025-fact-audit-adaptive-multi-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongzhan Lin, Yang Deng, Yuxuan Gu, et al.*2025 · 15 citations*
132. **[ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use](https://md.research.elamur.ai/free/en/papers/ye-2025-toolhop-query-driven-benchmark-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junjie Ye, Zhengyin Du, Xuesong Yao, et al.*2025 · 15 citations*
133. **[Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/shen-2025-understanding-information-propagation-effects-communication/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xu Shen, Yixin Liu, Yiwei Dai, et al.*2025 · 15 citations*
134. [**MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning arXiv:2505.20096**Thang Nguyen, Peter Chin, Yu-Wing Tai*2025 · 14 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2025-ma-rag-multi-agent-retrieval/)
135. [**ConPET: Continual Parameter-Efficient Tuning for Large Language Models arXiv:2309.14763**Chenyang Song, Xu Han, Zheni Zeng, et al.*2023 · 14 citations*](https://md.research.elamur.ai/free/en/papers/song-2023-conpet-continual-parameter-efficient-tuning/)
136. **[Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study](https://md.research.elamur.ai/free/en/papers/li-2025-prompting-large-language-models-tackle/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Bowen Li, Wenhan Wu, Ziwei Tang, et al.*2025 · 13 citations*
137. [**The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution arXiv:2510.25726**Junlong Li, Wenshuo Zhao, Jian Zhao, et al.*2025 · 13 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-tool-decathlon-benchmarking-language-agents/)
138. [**BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science arXiv:2407.00466**Xinna Lin, Siqi Ma, Junjie Shan, et al.*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-biokgbench-knowledge-graph-checking-benchmark/)
139. **[UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision](https://md.research.elamur.ai/free/en/papers/fang-2026-unicorn-self-improving-unified-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Fang, Ruiyan Han, XinYu Sun, et al.*2026 · 11 citations*
140. **[Learning from Diverse Reasoning Paths with Routing and Collaboration](https://md.research.elamur.ai/free/en/papers/lei-2025-learning-diverse-reasoning-paths-routing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhenyu Lei, Zhen Tan, Song Wang, et al.*2025 · 11 citations*
141. **[BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks](https://md.research.elamur.ai/free/en/papers/miao-2026-blindguard-safeguarding-llm-based-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Miao, Yixin Liu, Yili Wang, et al.*2026 · 10 citations*
142. **[AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction](https://md.research.elamur.ai/free/en/papers/wang-2025-anymac-cascading-flexible-multi-agent/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Song Wang, Zhen Tan, Zihan Chen, et al.*2025 · 10 citations*
143. **[Planning with Multi-Constraints via Collaborative Language Agents](https://md.research.elamur.ai/free/en/papers/zhang-2025-planning-multi-constraints-collaborative-language/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Cong Zhang, Xin Deik Goh, Dexun Li, et al.*2025 · 10 citations*
144. **[MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation](https://md.research.elamur.ai/free/en/papers/li-2026-mtr-bench-comprehensive-benchmark-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyuan Li, Keqin Bao, Yubo Ma, et al.*2026 · 9 citations*
145. **[TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/sun-2026-topodim-one-shot-topology-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rui Sun, Jie Ding, Chenghua Gong, et al.*2026 · 9 citations*
146. **[Problem Solving Through Human–AI Preference-based Cooperation](https://md.research.elamur.ai/free/en/papers/dutta-2025-problem-solving-through-human-ai/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Subhabrata Dutta, Timo Kaufmann, Goran Glavaš, et al.*2025 · 9 citations*
147. [**CodeS: Natural Language to Code Repository via Multi-Layer Sketch arXiv:2403.16443**Daoguang Zan, Ailun Yu, Wei Liu, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/zan-2024-codes-natural-language-code-repository/)
148. [**Head-First Linearization with Tree-Structured Representation**Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu, et al.*2019 · 8 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-head-first-linearization-tree-structured/)
149. **[CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-corba-contagious-recursive-blocking-attacks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenhong Zhou, Zherui Li, Jie Zhang, et al.*2026 · 7 citations*
150. **[ICLEval: Evaluating In-Context Learning Ability of Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-icleval-evaluating-context-learning-ability/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Wentong Chen, Yankai Lin, ZhenHao Zhou, et al.*2025 · 7 citations*
151. **[NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/han-2025-nestools-dataset-evaluating-nested-tool/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Han Han, Tong Zhu, Xiang Zhang, et al.*2025 · 7 citations*
152. **[Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents](https://md.research.elamur.ai/free/en/papers/yu-2026-agentic-memory-learning-unified-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yi Yu, Liuyi Yao, Yuexiang Xie, et al.*2026 · 6 citations*
153. **[Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments](https://md.research.elamur.ai/free/en/papers/ye-2026-feedback-driven-tool-use-improvements/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junjie Ye, Changhao Jiang, Zhengyin Du, et al.*2026 · 6 citations*
154. **[Can LLMs Automate Fact-Checking Article Writing?](https://md.research.elamur.ai/free/en/papers/sahnan-2026-can-llms-automate-fact-checking/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Dhruv Sahnan, David Corney, Irene Larraz, et al.*2026 · 5 citations*
155. **[Mem²Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation](https://md.research.elamur.ai/free/en/papers/cheng-2026-mem-2-evolve-self-evolving/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihao Cheng, Zeming Liu, Yingyu Shan, et al.*2026 · 5 citations*
156. **[AuRED: Enabling Arabic Rumor Verification using Evidence from Authorities over Twitter](https://md.research.elamur.ai/free/en/papers/haouari-2024-aured-enabling-arabic-rumor-verification/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Fatima Haouari, Tamer Elsayed, Reem Suwaileh*2024 · 5 citations*
157. **[A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Tasks](https://md.research.elamur.ai/free/en/papers/si-2026-goal-without-plan-is-just/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuzheng Si, Haozhe Zhao, Kangyang Luo, et al.*2026 · 4 citations*
158. **[BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation](https://md.research.elamur.ai/free/en/papers/pai-2026-billy-steering-large-language-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tsung-Min Pai, Jui-I Wang, Li-Chun Lu, et al.*2026 · 4 citations*
159. **[Structured Uncertainty guided Clarification for LLM Agents](https://md.research.elamur.ai/free/en/papers/suri-2026-structured-uncertainty-guided-clarification-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Manan Suri, Puneet Mathur, Nedim Lipka, et al.*2026 · 4 citations*
160. **[ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware Filtering](https://md.research.elamur.ai/free/en/papers/liu-2026-toolscope-enhancing-llm-agent-tool/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Marianne Menglin Liu, Daniel Garcia, Fjona Parllaku, et al.*2026 · 4 citations*
161. **[Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities](https://md.research.elamur.ai/free/en/papers/oh-2026-uncertainty-quantification-llm-agents-foundations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Changdae Oh, Seongheon Park, To Eun Kim, et al.*2026 · 4 citations*
162. **[Long-Chain Reasoning Distillation via Adaptive Prefix Alignment](https://md.research.elamur.ai/free/en/papers/liu-2026-long-chain-reasoning-distillation-adaptive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhenghao Liu, Zhuoyang Wu, Xinze Li, et al.*2026 · 3 citations*
163. **[MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference](https://md.research.elamur.ai/free/en/papers/zhang-2026-mapro-recasting-multi-agent-prompt/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zheyuan Zhang, Lin Ge, Hongjiang Li, et al.*2026 · 3 citations*
164. **[Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction](https://md.research.elamur.ai/free/en/papers/shen-2026-metacognitive-self-correction-multi-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xu Shen, Qi Zhang, Song Wang, et al.*2026 · 3 citations*
165. **[RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking](https://md.research.elamur.ai/free/en/papers/zou-2026-rag-over-tables-hierarchical-memory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaru Zou, Dongqi Fu, Sirui Chen, et al.*2026 · 3 citations*
166. **[Self-Evolving Multi-Agent Systems via Textual Backpropagation](https://md.research.elamur.ai/free/en/papers/ma-2026-self-evolving-multi-agent-systems/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaowen Ma, Yunpu Ma, Chenyang Lin, et al.*2026 · 3 citations*
167. **[Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs](https://md.research.elamur.ai/free/en/papers/xu-2026-skill-discovery-software-scripting-automation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Paiheng Xu, Gang Wu, Xiang Chen, et al.*2026 · 3 citations*
168. **[ToolGate: Contract-Grounded and Verified Tool Execution for LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-toolgate-contract-grounded-verified-tool/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yanming Liu, Xinyue Peng, Jiannan Cao, et al.*2026 · 3 citations*
169. **[Can LLM Agents Simulate Multi-Turn Human Behavior? Evidence from Real Online Customer Behavior Data](https://md.research.elamur.ai/free/en/papers/lu-2026-can-llm-agents-simulate-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxuan Lu, Jing Huang, Yan Han, et al.*2026 · 2 citations*
170. **[Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search](https://md.research.elamur.ai/free/en/papers/shi-2026-efficient-multi-agent-system-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wentao Shi, Zichun Yu, Fuli Feng, et al.*2026 · 2 citations*
171. [**MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling arXiv:2602.11761**MiniCPM Team, Wenhao An, Yingfa Chen, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/minicpm-team-2026-minicpm-sala-hybridizing-sparse/)
172. **[MobileCity: An Efficient Framework for Large-Scale Urban Behavior Simulation](https://md.research.elamur.ai/free/en/papers/ye-2026-mobilecity-efficient-framework-large-scale/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xiaotong Ye, Nicolas Bougie, Toshihiko Yamasaki, et al.*2026 · 2 citations*
173. **[PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/zhao-2026-papermind-benchmarking-agentic-reasoning-critique/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yanjun Zhao, Tianxin Wei, Jiaru Zou, et al.*2026 · 2 citations*
174. **[SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking](https://md.research.elamur.ai/free/en/papers/tran-2026-semviqa-semantic-question-answering-system/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dien X. Tran, Nam V. Nguyen, Tran Tan Thanh, et al.*2026 · 2 citations*
175. **[SILO-BENCH: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems](https://md.research.elamur.ai/free/en/papers/zhang-2026-silo-bench-scalable-environment-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuzhe Zhang, Feiran Liu, Yi Shan, et al.*2026 · 2 citations*
176. **[Beyond Static Personas: Situational Personality Steering for Large Language Models](https://md.research.elamur.ai/free/en/papers/wei-2026-beyond-static-personas-situational-personality/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zesheng Wei, Mengxiang Li, Zilei Wang, et al.*2026 · 1 citation*
177. **[CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback](https://md.research.elamur.ai/free/en/papers/sun-2026-codeevo-interaction-driven-synthesis-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qiushi Sun, Jingyang Gong, Lei Li, et al.*2026 · 1 citation*
178. **[ComfyUI-R1: Exploring Reasoning Models for Workflow Generation](https://md.research.elamur.ai/free/en/papers/xu-2026-comfyui-r1-exploring-reasoning-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenran Xu, Yiyu Wang, Xue Yang, et al.*2026 · 1 citation*
179. **[DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/sivakumaran-2026-dart-leveraging-multi-agent-disagreement/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Nithin Sivakumaran, Justin Chen, David Wan, et al.*2026 · 1 citation*
180. **[Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yu-2026-easy-samples-are-all-you/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiyin Yu, Bo Zhang, Qibin Hou, et al.*2026 · 1 citation*
181. **[Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM Agents](https://md.research.elamur.ai/free/en/papers/zhen-2026-hierarchical-reinforcement-learning-augmented-step/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuai Zhen, Yanhua Yu, Ruopei Guo, et al.*2026 · 1 citation*
182. **[MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2026-mever-multi-modal-explainable-claim/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Delvin Ce Zhang, Suhan Cui, Zhelin Chu, et al.*2026 · 1 citation*
183. **[PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints](https://md.research.elamur.ai/free/en/papers/park-2026-pac-bench-evaluating-multi-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Minjun Park, Donghyun Kim, Hyeonjong Ju, et al.*2026 · 1 citation*
184. **[ProMediate: A Simulation Testbed for Evaluating Proactive Mediation in Multi-Party Negotiation](https://md.research.elamur.ai/free/en/papers/liu-2026-promediate-simulation-testbed-evaluating-proactive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziyi Liu, Bahareh Sarrafzadeh, Pei Zhou, et al.*2026 · 1 citation*
185. **[RAFFLES: Reasoning-based Attribution of Faults for LLM Systems](https://md.research.elamur.ai/free/en/papers/zhu-2026-raffles-reasoning-based-attribution-faults/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Chenyang Zhu, Spencer Hong, Jingyu Wu, et al.*2026 · 1 citation*
186. **[Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration](https://md.research.elamur.ai/free/en/papers/liu-2026-scaling-external-knowledge-input-beyond/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zijun Liu, Zhennan Wan, Peng Li, et al.*2026 · 1 citation*
187. **[TEA-Bench: A Systematic Benchmarking of Tool-enhanced Emotional Support Dialogue Agent](https://md.research.elamur.ai/free/en/papers/sui-2026-tea-bench-systematic-benchmarking-tool/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingyu Sui, Yanyan Zhao, Yulin Hu, et al.*2026 · 1 citation*
188. **[AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and Reuse](https://md.research.elamur.ai/free/en/papers/zhang-2026-agentfactory-self-evolving-framework-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhang Zhang, Shuqi Lu, Hongjin Qian, et al.*2026*
189. **[AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments](https://md.research.elamur.ai/free/en/papers/xi-2026-agentgym2-benchmarking-large-language-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiheng Xi, Dingwen Yang, Jiaqi Liu, et al.*2026*
190. **[AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2026-amata-adaptive-multi-agent-trajectory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Taolin Zhang, Dongyang Li, Chen Chen, et al.*2026*
191. [**ARAFA: An LLM-Generated Arabic Fact-Checking Dataset arXiv:2609.25833**Christophe Khalil, Shady Elbassuoni, Rida Assaf*2026*](https://md.research.elamur.ai/free/en/papers/khalil-2026-arafa-llm-generated-arabic-fact/)
192. **[CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations](https://md.research.elamur.ai/free/en/papers/yu-2026-camo-agentic-framework-automated-causal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiangning Yu, Yuwei Guo, Yuqi Hou, et al.*2026*
193. **[Chinese Court Simulation with LLM-Based Agents System](https://md.research.elamur.ai/free/en/papers/zhang-2026-chinese-court-simulation-llm-based/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaiyuan Zhang, Jiaqi Li, Yueyue Wu, et al.*2026*
194. **[CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/wu-2026-cia-inferring-communication-topology-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongxuan Wu, Xixun Lin, He Zhang, et al.*2026*
195. **[ComfyFlow: Benchmarking LLMs for AIGC Workflow Generation](https://md.research.elamur.ai/free/en/papers/xu-2026-comfyflow-benchmarking-llms-aigc-workflow/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenran Xu, Yiyu Wang, Yunxin Li, et al.*2026*
196. **[ConSensus: Multi-Agent Collaboration for Multimodal Sensing](https://md.research.elamur.ai/free/en/papers/yoon-2026-consensus-multi-agent-collaboration-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hyungjun Yoon, Mohammad Malekzadeh, Sung-Ju Lee, et al.*2026*
197. **[Contract-Coding: Towards Repo-Level Generation via Structured Symbolic Paradigm](https://md.research.elamur.ai/free/en/papers/yilin-2026-contract-coding-repo-level-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yilin, Lujin Zhao, Yijie Shi*2026*
198. **[Evidence Grounding vs. Memorization: Why Neural Semantics Matter for Knowledge Graph Fact Verification](https://md.research.elamur.ai/free/en/papers/upadhyay-2026-evidence-grounding-vs-memorization-why/) [Fact Extraction and VERification Workshop (FEVER)](https://md.research.elamur.ai/free/en/venues/fever/)**Ankit Kumar Upadhyay, John S. Erickson, Deborah L. McGuinness*2026*
199. **[EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent Communication](https://md.research.elamur.ai/free/en/papers/zhang-2026-evohyper-evolving-hypergraph-topologies-unified/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Heng Zhang, Yihao Zhong, Lubin Gan, et al.*2026*
200. **[FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-fusionflow-enabling-deep-structural-exploration/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiang Wang, Zongtao Yang, Zhuojian Hong, et al.*2026*

[← prev](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/cited-by/) **2** [3](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/cited-by/page/3/) [next →](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/cited-by/page/3/)

- [← back to](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/) — Cheng Hong Yang