🧑‍🔬 Jinhao Jiang

🏛️ Affiliations

🎓Renmin University of ChinaBeijing · China2021–2026 · 27 paperscurrent🎓Beijing Institute of Graphic CommunicationBeijing · China2025–2026 · 3 paperscurrent🎓Hefei University of TechnologyHefei · China2024–2026 · 2 papersEmployment · 物理学院current🎓Beijing Institute of TechnologyBeijing · China2026 · 1 papercurrent🎓Fudan UniversityShanghai · China2021–2023 · 2 papers🎓Singapore Management UniversitySingapore · Singapore2021–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning (2025 · 141 citations)
   Reasoning-oriented LLMs trained with RL perform well on maths and code, but they depend on what they memorised.
2. KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph (2025 · 78 citations)
   Large language models struggle with multi-hop, knowledge-heavy questions when they rely only on their parameters.
3. RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement (2025 · 31 citations)
   Large language models often fail on multi-hop questions that require chaining several facts. Tree-search methods such as MCTS help with deliberative reasoning but rely only on the model's internal knowledge. Standard RAG feeds documents straight into generation, which can cause conflicts between retrieved and…
4. Towards Effective and Efficient Continual Pre-training of Large Language Models (2025 · 29 citations)
   Continual pre-training (CPT) is a common way to adapt an LLM to new languages or domains. Its main risk is catastrophic forgetting, where the model gains new skills but loses old ones. The authors give a fully open CPT recipe for Llama-3 (8B) that targets two weaknesses: Chinese language ability and multidisciplinary…
5. CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability (2025 · 4 citations)
   Long-context LLMs answer multi-document questions poorly once the evidence is buried among many irrelevant or distracting documents.
6. RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library (2026)
   RV-Syn tackles the shortage of reliable, complex mathematical training data for LLMs. Prior synthesis methods either rework existing annotated sets such as GSM8K and MATH, which limits diversity, or have a model write questions directly from documents or knowledge points. The authors argue that direct generation…

All works

8 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

1. StructGPT: A General Framework for Large Language Model to Reason over Structured Data ↗arXiv:2305.09645 · no summary yetJinhao Jiang et al.2023 · 412 citations
2. R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement LearningarXiv:2503.05592Huatong Song, Jinhao Jiang, Yingqian Min, et al.2025 · 141 citations
3. KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge GraphAnnual Meeting of the Association for Computational Linguistics (ACL)Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, et al.2025 · 78 citations
4. Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems ↗arXiv:2412.09413 · no summary yetYingqian Min et al.2024 · 66 citations
5. 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
6. Towards Effective and Efficient Continual Pre-training of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jie Chen, Zhipeng Chen, Jiapeng Wang, et al.2025 · 29 citations
7. CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA CapabilityConference on Empirical Methods in Natural Language Processing (EMNLP)Han Peng, Jinhao Jiang, Zican Dong, et al.2025 · 4 citations
8. RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function LibraryFindings of the Association for Computational LinguisticsJiapeng Wang, Jinhao Jiang, Zhiqiang Zhang, et al.2026

🤝 Co-authors here

12 of 24 co-authors with a page, the most papers together first.

• Wayne Xin Zhao ×5
• Ji-Rong Wen ×2
• Jiapeng Wang ×2
• Jie Chen ×2
• Kun Zhou ×2
• Lei Fang ×2
• Yang Song ×2
• Yingqian Min ×2
• Zhipeng Chen ×2
• Chen Zhu
• Hengshu Zhu
• Huatong Song

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2025 ×2
• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Frontiers of Computer Science
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2025

🔗 Cited by

Papers of our library cite their works 1,790 times (of the 149,439 papers whose bibliographies we read); 330 citing papers with a page here →.

Updated 1 November 2026

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