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Hang Ding

Hang Ding has 2 papers in our library, in 2026, most of them on Information retrieval & search; often with Arman Cohan, Haiyun Jiang, Manasi Patwardhan.

2 papers in our library · 2026

OpenAlex · h-index 1 · 1 works · 4 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 6 times in our library · ⭐ Paper Stars ranking: #9934

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

🎓New York University ShanghaiShanghai · China2026 · 1 papercurrent🎓Shanghai Jiao Tong UniversityShanghai · China2026 · 1 papercurrent🎓Yale UniversityNew Haven · United States2026 · 1 papercurrent

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.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Information retrieval & search · 2 works

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature (2026 · 7 citations)
    Scientific output keeps growing quickly, and existing retrieval-augmented generation (RAG) tools for literature QA have four main weaknesses.
  2. ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning (2026 · 3 citations)
    ARK addresses a weakness of retrievers in long-context RAG. They are trained to match queries to similar text, so they often miss sparse passages that actually let a generator produce the right answer. The authors propose a fine-tuning recipe that targets answer usefulness instead of surface similarity.

 Co-authors here

5 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 6 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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