--- title: "Who cites Chiwei Zhu — 39 papers of our library" description: "39 papers of the Elamur Research library cite the works of Chiwei Zhu, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/chiwei-zhu/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chiwei-zhu/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Chiwei Zhu](https://md.research.elamur.ai/free/en/authors/chiwei-zhu/) / cited by # Who cites Chiwei Zhu 39 citations of their works from 39 papers of our library (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← Chiwei Zhu](https://md.research.elamur.ai/free/en/authors/chiwei-zhu/) 1. **[An AI system to help scientists write expert-level empirical software](https://md.research.elamur.ai/free/en/papers/aygun-2025-ai-system-help-scientists/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici, et al.*2025 · 27 citations* 2. **[A Survey on Evaluation of LLM-based Agents](https://md.research.elamur.ai/free/en/papers/yehudai-2026-survey-evaluation-llm-based-agents/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Asaf Yehudai, Lilach Eden, Alan Li, et al.*2026 · 21 citations* 3. **[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* 4. [**WideSearch: Benchmarking Agentic Broad Info-Seeking arXiv:2508.07999**Ryan Wong, Jiawei Wang, Junjie Zhao, et al.*2025 · 20 citations*](https://md.research.elamur.ai/free/en/papers/wong-2025-widesearch-benchmarking-agentic-broad-info/) 5. **[Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning](https://md.research.elamur.ai/free/en/papers/shi-2025-search-refine-during-think-facilitating/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yaorui Shi, Sihang Li, Chang Wu, et al.*2025 · 18 citations* 6. **[Attention to Non-Adopters](https://md.research.elamur.ai/free/en/papers/zhou-2026-attention-non-adopters/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaitlyn Zhou, Kristina Gligorić, Myra Cheng, et al.*2026 · 1 citation* 7. **[FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents](https://md.research.elamur.ai/free/en/papers/zhu-2026-fs-researcher-test-time-scaling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chiwei Zhu, Benfeng Xu, Mingxuan Du, et al.*2026 · 1 citation* 8. **[ReportLogic: Evaluating Logical Quality in Deep Research Reports](https://md.research.elamur.ai/free/en/papers/zhao-2026-reportlogic-evaluating-logical-quality-deep/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jujia Zhao, Zhaoxin Huan, Zihan Wang, et al.*2026 · 1 citation* 9. **[AnalystBench: Benchmarking professional long-form report generation with web-mined multimodal tasks](https://md.research.elamur.ai/free/en/papers/pham-2026-analystbench-benchmarking-professional-long-form/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chau Minh Pham, Zichao Wang, Puneet Mathur, et al.*2026* 10. **[CogGen: A Cognitively Inspired Recursive Framework for Deep Research Report Generation](https://md.research.elamur.ai/free/en/papers/tian-2026-coggen-cognitively-inspired-recursive-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kuo Tian, Pengfei Sun, Zhen Wu, et al.*2026* 11. **[From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks](https://md.research.elamur.ai/free/en/papers/ren-2026-coarse-fine-benchmarking-reward-modeling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qingyu Ren, Tianjun Pan, Xingzhou Chen, et al.*2026* 12. **[MASS: Deep Research for Social Sciences with Memory-Augmented Social Simulation](https://md.research.elamur.ai/free/en/papers/liu-2026-mass-deep-research-social-sciences/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yongrui Liu, Deyi Xiong*2026* 13. **[ProductResearch: Training E-Commerce Deep Research Agents via Multi-Agent Synthetic Trajectory Distillation](https://md.research.elamur.ai/free/en/papers/wang-2026-productresearch-training-e-commerce-deep/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiangyuan Wang, Kejun Xiao, Huaipeng Zhao, et al.*2026* 14. **[SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information Integration](https://md.research.elamur.ai/free/en/papers/tang-2026-sciexplore-evaluating-autonomous-agents-scientific/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yinhao Tang, Youqing Fang, Yanan Sun, et al.*2026* 25 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/chiwei-zhu/) — Chiwei Zhu