Ruijie Xu
Ruijie Xu has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Run-Ze Fan, Zengzhi Wang, Ethan Chern.
OpenAlex · ORCID · h-index 8 · 44 works · 242 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 114 times in our library · ⭐ Paper Stars ranking: #7440
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workReasoning · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Benchmarking Benchmark Leakage in Large Language Models (2024 · 73 citations)
Large language models are often trained on undisclosed corpora that may include public benchmark data, sometimes on purpose. - OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI (2024 · 56 citations)
Existing exam-style benchmarks for LLMs and LMMs mostly test knowledge recall or simple concept application, and they usually grade only final answers. - Rethinking Data Mixing from the Perspective of Large Language Models (2026)
The paper asks how training data from different domains should be weighted when pretraining LLMs. It also asks whether human-assigned domain labels (e.g. C4, Wikipedia, ArXiv, Book) match what the model itself treats as distinct. The authors observe that per-sample gradients form clearly separated clusters by source…
Co-authors here
- Run-Ze Fan ×2
- Zengzhi Wang ×2
- Ethan Chern
- Guang Zhang
- Haoyang Zou
- Lyumanshan Ye
- Pengfei Liu
- Shijie Xia
- Xuefeng Li
- Yang Liu
- Yikai Zhang
- Yixin Ye
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2024
Cited by
Updated
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