Wenjin Liu
Wenjin Liu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Legal AI; often with Erik Cambria, Haoran Luo, Jiapu Wang.
OpenAlex · ORCID · h-index 14 · 67 works · 994 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 5 times in our library · ⭐ Paper Stars ranking: #10609
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksPolitical Science and International Relations · 1 workSocial Sciences · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workEvaluation & benchmarks · 1 workLegal AI · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Artificial intelligence · 1 work
Works by year
2020s
Papers
- Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning (2026 · 3 citations)
Many people struggle to write good prompts for hard problems, which keeps large language models from performing at their best. - LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence (2026 · 2 citations)
Current legal benchmarks for LLMs mostly score final answers on technical tasks. They tend to ignore "soft" legal skills such as ethical judgment and assessing social impact, and their static public data may have leaked into training sets. LexGenius is a Chinese expert-level benchmark designed to probe legal general…
Co-authors here
Venues
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
Cited by
Updated
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