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.
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
Affiliations
Fields, topics and concepts
📚 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 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 4Research subjects and languages the work is about.Interpretability · 1 workEvaluation & benchmarks · 1 workText generation · 1 workVision & language · 1 work
Works by year
2020s
Papers
- 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. - 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
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