Elamur Research⌕
☰
home / authors / Wei Ju

Wei Ju

Wei Ju has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Yifan Wang, Bohan Wu, Hao Wu.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 24 · 85 works · 1,854 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 7 times in our library · ⭐ Paper Stars ranking: #9571

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

🎓Peking UniversityBeijing · China2021–2026 · 54 paperscurrent🎓Sichuan UniversityChengdu · China2024–2026 · 24 paperscurrent🎓University of California, Los AngelesLos Angeles · United States2024–2025 · 2 papers🎓University of WashingtonSeattle · United States2025 · 2 papers🎓Soochow UniversitySuzhou · China2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workBias, fairness & safety · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey on Efficient Large Language Model Training: From Data-centric Perspectives (2025 · 14 citations)
    Post-training is the stage where LLMs acquire instruction following, alignment, reasoning and domain skills.
  2. Calibrating Inference Time Alignment with Sequence-level Risk Accumulation (2026)
    LLM defenses against jailbreaks often over-refuse. They block innocuous requests, such as how to "kill" a Linux process, because single tokens look dangerous. This paper presents SEAT, an inference-time decoding framework named for its approach of accumulating risk over whole sequences to calibrate alignment at test…

 Co-authors here

11 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 7 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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