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Feiyu Xiong

Feiyu Xiong has 2 papers in our library, in 2026, most of them on Evaluation & benchmarks, Code & programming languages; often with Zhiyu li, Rui Ling, Siheng Chen.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 14 · 105 works · 760 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 43 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11506

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Alibaba GroupHangzhou · China2020–2024 · 16 papersEmployment🎓Drexel UniversityPhiladelphia · United States2009–2016 · 3 papersEducation 2009–2015 · Doctor, Electrical Engineering🎓Renmin University of ChinaBeijing · China2024 · 2 papers🎓Temple UniversityPhiladelphia · United States2008–2009 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Science Applications · 1 workInformation Systems · 1 workComputer Networks and Communications · 1 work

🧭 Topics 2Research subjects and languages the work is about.Code & programming languages · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation (2026 · 1 citation)
    Most code-generation benchmarks test LLMs in a single turn, but real software is built step by step from modular functions that reuse earlier ones. The authors call this incremental, reuse-driven process "codeflow" and present CodeFlowBench as the first benchmark for evaluating it.
  2. Text2Mem: A Unified Memory Operation Language for Memory Operating System (2026)
    LLM agents that work across long, multi-session interactions need memory. Yet current memory frameworks mostly offer basic create/read/delete-style primitives. Higher-level controls such as merging, promoting, locking or expiring memories are absent or implemented differently from system to system. Text2Mem addresses…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Controllable Text Generation for Large Language Models: A Survey ↗arXiv (Cornell University) · no summary yetXun Liang et al.2024 · 48 citations
  2. CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Sizhe Wang, Zhengren Wang, Dongsheng Ma, et al.2026 · 1 citation
  3. Text2Mem: A Unified Memory Operation Language for Memory Operating SystemFindings of the Association for Computational LinguisticsLeo Wang, Lihai Yang, Boyu Chen, et al.2026
  4. Inside Out: Evolving User-Centric Core Memory Trees for Long-Term Personalized Dialogue Systems ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJihao Zhao et al.2026

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 43 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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