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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.

2 papers in our library · 2026

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

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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

6 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 5 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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