From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 6Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Language and Linguistics · 2 works Information Systems · 1 work Computer Vision and Pattern Recognition · 1 work

🧭 Topics 2Language models & pretraining · 1 work Reasoning · 1 work

Works by year

2020s

20251 paper 20221 paper

Papers

The most cited first (OpenAlex and our library).

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference (2025 · 28 citations)
Discrete diffusion language models can generate many tokens in parallel, but two problems limit them in practice.
Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences (2022 · 7 citations)
Transformer models fine-tuned on SNLI and MNLI reach high accuracy, but it is unclear whether they actually reason about sentence meaning or exploit dataset artifacts.

Co-authors here

7 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.

Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2022

Cited by

Papers of our library cite their works 32 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated 1 November 2026

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

🧑‍🔬 Cheng Luo

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

🤝 Co-authors here

Venues

🔗 Cited by

Cheng Luo

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by