🧑‍🔬 Yifan Gao

🏛️ Affiliations

🎓University of Science and Technology of ChinaHefei · China2021–2028 · 15 papersEducation 2022–2024 · Master's Degree, School of Biomedical EngineeringEducation 2024–2028 · PhD Student, School of Biomedical Engineeringcurrent🎓Soochow UniversitySuzhou · China2023–2026 · 10 paperscurrent🔬State Key Laboratory of Radiation Medicine and ProtectionSuzhou · China2023–2026 · 9 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2024–2026 · 6 paperscurrent🎓Shanghai Innovation InstituteShanghai · China2025–2026 · 6 paperscurrent🔬Suzhou Institute of Biomedical Engineering and TechnologySuzhou · China2024–2026 · 5 paperscurrent🎓City University of Hong KongHong Kong · China2022–2026 · 4 paperscurrent🎓Zhejiang UniversityHangzhou · China2018–2026 · 3 paperscurrent🎓Tianjin UniversityTianjin · China2025–2026 · 2 paperscurrent🎓Beijing University of Chinese MedicineBeijing · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 58 more institutions 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. SCOTT: Self-Consistent Chain-of-Thought Distillation (2023 · 146 citations)
   Chain-of-thought (CoT) prompting helps only very large LMs, and the rationales these models produce often fail to support, or even contradict, their answers.
2. MEMORYLLM: Towards Self-Updatable Large Language Models (2024 · 27 citations)
   Large language models are usually frozen once deployed, which makes adding fresh knowledge difficult. Current workarounds each have drawbacks. Retrieval stores keep growing, fact-level editing struggles with longer passages, and long-context approaches eventually run out of context length. This paper proposes…
3. HyperAdaLoRA: Accelerating LoRA Rank Allocation During Training via Hypernetworks without Sacrificing Performance (2026 · 5 citations)
   AdaLoRA improves on LoRA by giving different weight matrices different ranks. It does this by expressing each update in SVD form (P, Λ, Q) and pruning unimportant singular values. The cost is slow convergence and heavy computation during training. HyperAdaLoRA addresses this. Instead of updating P, Λ and Q directly…
4. Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning (2026 · 2 citations)
   Multi-turn conversational search is usually handled by a fixed "rewrite, retrieve, generate" chain of separately trained components.

All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. SCOTT: Self-Consistent Chain-of-Thought DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Peifeng Wang, Zhengyang Wang, Zheng Li, et al.2023 · 146 citations
2. Improving Question Generation With to the Point Context ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetJingjing Li et al.2019 · 71 citations
3. MEMORYLLM: Towards Self-Updatable Large Language ModelsarXiv:2402.04624Yu Wang, Yifan Gao, Xiusi Chen, et al.2024 · 27 citations
4. Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetYifan Gao et al.2020 · 26 citations
5. HyperAdaLoRA: Accelerating LoRA Rank Allocation During Training via Hypernetworks without Sacrificing PerformanceFindings of the Association for Computational LinguisticsHao Zhang, Zhenjia Li, Yifan Gao, et al.2026 · 5 citations
6. Agentic Conversational Search with Contextualized Reasoning via Reinforcement LearningFindings of the Association for Computational LinguisticsFengran Mo, Yifan Gao, Sha Li, et al.2026 · 2 citations

🤝 Co-authors here

12 of 25 co-authors with a page, the most papers together first.

• Bing Yin ×2
• Xian Li ×2
• Zheng Li ×2
• Dakuo Wang
• Fengran Mo
• Hansi Zeng
• Hao Xu
• Hao Zhang
• Haoming Jiang
• Jianshu Chen
• Jingbo Shang
• Jingfeng Yang

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 2023
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
• Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

🔗 Cited by

Papers of our library cite their works 163 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated 31 October 2026

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