From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 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 6Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Information Systems · 2 works Language and Linguistics · 2 works Computer Vision and Pattern Recognition · 1 work

🧭 Topics 2Information retrieval & search · 1 work Language models & pretraining · 1 work

Works by year

2020s

20252 papers

Papers

The most cited first (OpenAlex and our library).

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation (2025 · 25 citations)
Retrieval-augmented generation (RAG) often feeds an LLM very long retrieved documents. These texts carry much irrelevant material, which raises inference cost and lowers answer quality. Existing compressors either target short chunks or rank tokens with crude signals such as perplexity, so they ignore how a document…
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation (2025 · 19 citations)
RetroLLM targets three weaknesses of standard retrieval-augmented generation (RAG): the cost of running a separate retriever, long inputs padded with redundant retrieved chunks, and the fact that retrieval and generation cannot be optimized together.

All works

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

WebThinker: Empowering Large Reasoning Models with Deep Research Capability ↗arXiv:2504.21776 · no summary yetXiaoxi Li et al.2025 · 72 citations
Hierarchical Document Refinement for Long-context Retrieval-augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiajie Jin, Xiaoxi Li, Guanting Dong, et al.2025 · 25 citations
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoxi Li, Jiajie Jin, Yujia Zhou, et al.2025 · 19 citations

Co-authors here

9 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.

Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2025 ×2

Cited by

Papers of our library cite their works 95 times (of the 149,439 papers whose bibliographies we read); 30 citing papers with a page here →.

Updated 1 November 2026

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🧑‍🔬 Yongkang Wu

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Yongkang Wu

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by