Elamur Research⌕
☰
home / authors / Yang You

Yang You

Yang You has 3 papers in our library, in 2023–2024, most of them on Language models & pretraining, Summarization; often with Fuzhao Xue, Chenhui Shen, Lidong Bing.

3 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 31 · 130 works · 3,567 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 277 citations in our library · 1 more in our library without a page yet · ⭐ Paper Star rank #4147

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

🎓National University of SingaporeSingapore · Singapore2020–2026 · 86 paperscurrent🎓University of California, BerkeleyBerkeley · United States2015–2020 · 15 papers🎓Tsinghua UniversityBeijing · China2013–2015 · 7 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6 Arts and Humanities · 3 works Computer Science · 3 works Artificial Intelligence · 3 works Language and Linguistics · 3 works Computer Vision and Pattern Recognition · 2 works Hardware and Architecture · 1 work

🧭 Topics 2 Language models & pretraining · 2 works Summarization · 1 work

 Works by year

2020s

20241 paper20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Sequence Parallelism: Long Sequence Training from System Perspective (2023 · 128 citations)
    Self-attention memory grows quadratically with input length. Standard training setups also need each GPU to hold the entire sequence, which caps the usable context. Most prior work attacks this algorithmically with cheaper attention variants. This paper takes a systems approach instead. It introduces sequence…
  2. Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization (2023 · 119 citations)
    This paper asks whether LLMs such as ChatGPT and GPT-4 can take over from human annotators when judging abstractive summaries.
  3. OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models (2024 · 61 citations)
    Before this work, few open Mixture-of-Experts (MoE) language models had been trained on trillion-scale, diverse data, and little was known about how their routers actually behave.

All works

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

  1. Sequence Parallelism: Long Sequence Training from System PerspectiveShenggui Li, Fuzhao Xue, Chaitanya Baranwal, et al.Annual Meeting of the Association for… · 128 citations
  2. Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationChenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.Findings of the Association for Computational… · 119 citations
  3. ImageNet Training in Minutes (original ↗)Yang You et al.2017 · arXiv:1709.05011 · 110 citations · no summary yet
  4. OpenMoE: An Early Effort on Open Mixture-of-Experts Language ModelsFuzhao Xue, Zian Zheng, Yao Fu, et al.arXiv:2402.01739 · 61 citations

 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 277 times (of the 141,840 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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