Elamur Research⌕
☰
home / authors / Xinyu Lu

Xinyu Lu

Xinyu Lu has 2 papers in our library, in 2024, most of them on Language models & pretraining, Evaluation & benchmarks; often with Ben He, Hongyu Lin, Jie Lou.

2 papers in our library · 2024

OpenAlex · ORCID · h-index 13 · 35 works · 403 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 17 times in our library · ⭐ Paper Stars ranking: #11274

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

🎓Shanghai International Studies UniversityShanghai · China2020–2026 · 7 paperscurrent🎓Southwest Minzu UniversityChengdu · China2024–2025 · 3 papers🏥Eye & ENT Hospital of Fudan UniversityShanghai · China2022 · 3 papers🎓Fudan UniversityShanghai · China2022 · 3 papers🎓Nanjing UniversityNanjing · China2021–2022 · 3 papers🎓East China Normal UniversityShanghai · China2024–2025 · 2 papers🎓Sichuan UniversityChengdu · China2024–2025 · 2 papers🏥West China Hospital of Sichuan UniversityChengdu · China2024–2025 · 2 papers🔬State Key Laboratory of Pollution Control and Resource ReuseNanjing · China2021–2022 · 2 papers🏢United Imaging HealthcareShanghai · China2018–2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? (2024 · 9 citations)
    Reward models (RMs) are usually judged by pairwise accuracy on human-labelled preference data, but it is unclear whether higher accuracy actually produces a better policy after RLHF.
  2. Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering (2024 · 9 citations)
    Foundation models such as LLMs are now so capable that improving them further through large-scale human annotation is becoming expensive and less effective.

 Co-authors here

11 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 17 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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