Elamur Research⌕
☰
home / authors / Chao Yang

Chao Yang

Chao Yang has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Dianhai Yu, Haifeng Wang, Jie Liu.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 12 · 36 works · 776 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 45 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9281

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

🎓China University of GeosciencesWuhan · China2023–2025 · 4 paperscurrent🎓China University of Geosciences (Beijing)Beijing · China2023–2025 · 4 paperscurrent🏢WNETNew York · United States2020–2024 · 6 papers🎓Peking UniversityBeijing · China2015–2022 · 5 papers🎓Hunan UniversityChangsha · China2022–2024 · 3 papers🎓Beijing University of Posts and TelecommunicationsBeijing · China2021–2023 · 3 papers🎓Harbin University of Science and TechnologyHarbin · China2011 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models (2024 · 17 citations)
    Aligning very large language models with human preferences through fine-tuning is costly and hard to engineer.
  2. RRAtention: Dynamic Block Sparse Attention via Per-Head Round-Robin Shifts for Long-Context Inference (2026)
    Attention cost grows quadratically with sequence length, which makes long-context prefill expensive. Dynamic sparse attention computes only the query–key blocks that matter for a given input, but each existing method gives something up. SeerAttention and MInference need offline training or pattern search. MInference…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. WeNet: Production Oriented Streaming and Non-Streaming End-to-End Speech Recognition Toolkit ↗Interspeech (USB) · no summary yetZhuoyuan Yao et al.2021 · 262 citations
  2. Weak-to-Strong Search: Align Large Language Models via Searching over Small Language ModelsConference on Neural Information Processing Systems (NeurIPS)Zhanhui Zhou, Zhixuan Liu, Jie Liu, et al.2024 · 17 citations
  3. RRAtention: Dynamic Block Sparse Attention via Per-Head Round-Robin Shifts for Long-Context InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Siran Liu, Guoxia Wang, Sa Wang, et al.2026

 Co-authors here

5 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 45 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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