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Haoran Zhang

Haoran Zhang has 2 papers in our library, in 2024–2026, most of them on Evaluation & benchmarks, Tokenization & segmentation, Efficient models & compression; often with Chris Tanner, Craig W Schmidt, Guanglai Gao.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 23 · 110 works · 2,951 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 46 times in our library · ⭐ Paper Stars ranking: #7332

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

🎓Massachusetts Institute of TechnologyCambridge · United States2021–2026 · 23 papers🎓University of TorontoToronto · Canada2019–2022 · 11 papers🔬Vector InstituteToronto · Canada2019–2022 · 6 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 3Research subjects and languages the work is about.Efficient models & compression · 1 workTokenization & segmentation · 1 workEvaluation & benchmarks · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Subword tokenization · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Tokenization Is More Than Compression (2024 · 70 citations)
    A common explanation for why Byte-Pair Encoding (BPE) works well is that it compresses text into fewer tokens.
  2. ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood Model (2026)
    ToMELP is a benchmark that tests whether large language models can infer a listener's mental state during a persuasive conversation and then use that inference to shape what they say.

 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.

 Cited by

Papers of our library cite their works 46 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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