Yanjun Shen
Yanjun Shen has 3 papers in our library, in 2024–2025, most of them on Language models & pretraining, Evaluation & benchmarks; often with Fan Yang, Mingan Lin, Haoze Sun.
OpenAlex · ORCID · Wikidata · h-index 28 · 136 works · 2,782 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 37 times in our library · ⭐ Paper Stars ranking: #8199
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- CFBench: A Comprehensive Constraints-Following Benchmark for LLMs (2025 · 30 citations)
CFBench tackles a gap in how LLMs are tested on following instructions that carry many explicit constraints. - Baichuan Alignment Technical Report (2024 · 5 citations)
Alignment methods for large language models are usually kept proprietary or described only in fragments. This technical report from Baichuan Inc. and Peking University sets out the full alignment pipeline behind the Baichuan models. The pipeline has three stages. A Prompt Augmentation System (PAS) automatically… - BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline (2024 · 2 citations)
Pre-training corpora largely determine what a large language model can do. Yet many developers, including some that release open weights, keep their data collection and mixing recipes private. Some models are also tuned toward particular benchmarks, which hides their real abilities.
Co-authors here
- Fan Yang ×3
- Mingan Lin ×3
- Haoze Sun ×2
- Tao Zhang ×2
- Tianpeng Li ×2
- Bin Cui
- Chenzheng Zhu
- Da Pan
- Guosheng Dong
- Hao Liang
- Jianhua Xu
- Mingyang Chen
Venues
Cited by
Updated
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