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Kun Zhang

Kun Zhang has 2 papers in our library, in 2026, most of them on Text generation, Evaluation & benchmarks, Interpretability; often with Aashiq Muhamed, Jian Zhang, Mona Diab.

2 papers in our library · 2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11576

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

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders (2026 · 1 citation)
    Sparse autoencoders (SAEs) are a popular way to break LLM activations into sparse, human-readable features.
  2. FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text Generation (2026)
    Generative MLLMs that interleave images and text can produce content that looks authoritative but contains factual errors.

 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 1 time (of the 149,439 papers whose bibliographies we read).

Updated

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