Elamur Research⌕
☰
home / authors / Huaye Zeng

Huaye Zeng

Huaye Zeng has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining; often with Dongfu Jiang, Wenhu Chen, Cong Wei.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 1 · 6 works · 2 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 99 times in our library · ⭐ Paper Stars ranking: #8250

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

🎓University of WaterlooWaterloo · Canada2025–2026 · 3 paperscurrent🎓Harvard UniversityCambridge · United States2026 · 2 paperscurrent🎓Wilfrid Laurier UniversityWaterloo · Canada2026 · 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workComputer Science Applications · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MANTIS: Interleaved Multi-Image Instruction Tuning (2024 · 74 citations)
    Most open large multimodal models (LMMs) handle one image well but struggle when a task involves several images.
  2. ACECODER: Acing Coder RL via Automated Test-Case Synthesis (2025 · 32 citations)
    Reinforcement learning has been used far less than supervised fine-tuning for code LLMs. A major reason is the lack of trustworthy reward signals and of large training sets with dependable test cases. ACECODER addresses this with a fully automated pipeline.

 Co-authors here

8 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 99 times (of the 149,439 papers whose bibliographies we read); 39 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/huaye-zeng/