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Gongbo Zhang

Gongbo Zhang has 2 papers in our library, in 2015–2026, most of them on Discourse analysis, Information retrieval & search; often with Jacob Eisenstein, Yangfeng Ji, Yifan Peng.

2 papers in our library · 2015–2026

OpenAlex · ORCID · h-index 12 · 30 works · 2,495 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 14 times in our library · ⭐ Paper Stars ranking: #9142

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

🎓Columbia UniversityNew York · United States2024–2026 · 15 paperscurrent🎓Georgia State UniversityAtlanta · United States2000–2009 · 6 papers🎓University of DelawareNewark · United States2017–2022 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Discourse analysis · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20261 paper

2010s

20151 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations (2015 · 46 citations)
    Implicit discourse relations, which lack a connective such as "however", are costly to annotate. Explicitly signaled relations, by contrast, can be labeled automatically from their connectives. However, classifiers trained on such explicit data transfer poorly to implicit relations. Ji, Zhang and Eisenstein treat…
  2. Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization (2026)
    Agentic RAG systems often use a critic model to label what went wrong with an answer, using an error taxonomy, and then choose corrective steps.

 Co-authors here

3 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 14 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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