🧑‍🔬 Fanqi Wan

🏛️ Affiliations

🎓Sun Yat-sen UniversityGuangzhou · China2022–2026 · 25 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 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. FuseChat: Knowledge Fusion of Chat Models (2025 · 25 citations)
   Building a strong chat LLM from scratch is expensive, and many existing models already have overlapping skills.
2. QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning (2025 · 13 citations)
   Reinforcement learning has made large reasoning models (LRMs) much better at problems with short inputs. It is still unclear how to train them to reason over very long documents, potentially around 120K tokens. The authors frame this as "long-context reasoning RL," where the model must first find and ground the…
3. PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning (2026 · 5 citations)
   Language models that reason step by step in a single chain hit a hard limit: once the context window is full, reasoning must stop.
4. ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agents (2026 · 3 citations)
   Research on proactive dialogue agents, which start conversations and steer users toward goals without being asked, has been fragmented.
5. STEP3-VL-10B Technical Report (2026 · 2 citations)
   Compact multimodal models (around 10B parameters or fewer) are usually efficient but weaker at difficult perception and reasoning.

All works

6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. Knowledge Fusion of Large Language Models ↗arXiv:2401.10491 · no summary yetFanqi Wan et al.2024 · 82 citations
2. FuseChat: Knowledge Fusion of Chat ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fanqi Wan, Longguang Zhong, Ziyi Yang, et al.2025 · 25 citations
3. QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement LearningarXiv:2505.17667Fanqi Wan, Weizhou Shen, Shengyi Liao, et al.2025 · 13 citations
4. PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Jingcheng Hu, Yinmin Zhang, Shijie Shang, et al.2026 · 5 citations
5. ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianjian Liu, Fanqi Wan, Jiajian Guo, et al.2026 · 3 citations
6. STEP3-VL-10B Technical ReportarXiv:2601.09668Ailin Huang, Chengyuan Yao, Chunrui Han, et al.2026 · 2 citations

🤝 Co-authors here

12 of 20 co-authors with a page, the most papers together first.

• Chengyuan Yao ×2
• Jingcheng Hu ×2
• Xiaojun Quan ×2
• Ziyi Yang ×2
• Ailin Huang
• Chenliang Li
• Chunrui Han
• Fei Huang
• Hangyu Guo
• Ji Zhang
• Jingren Zhou
• Ming Yan

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 2026 ×2
• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025

🔗 Cited by

Papers of our library cite their works 117 times (of the 149,439 papers whose bibliographies we read); 26 citing papers with a page here →.

Updated 31 October 2026

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