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Wenjin Liu

ACL 2026×2NeurIPS 2026智能体与工具推理强化学习与后训练社会与人本评测与基准
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一作贡献60
核心/参与12
方向广度13
合作网络12
2 一作 · 3 篇 · ACL 2026 / NeurIPS 2026

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2026 顶会论文

3
一作ACL 2026Findings· Findings of ACL

P rompt- R 1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning

Wenjin Liu · Haoran Luo · Xueyuan Lin · Haoming Liu · Tiesunlong Shen · Jiapu Wang · Rui Mao · Erik Cambria

摘要

Recently, various excellent and powerful large language models (LLMs) have been utilized to solve a wide range of human problems. However, when faced with complex problems, most users are often unable to provide accurate and effective prompts to interact with LLMs, thus limiting their performance...

推理智能体与工具强化学习与后训练OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

L ex G enius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence

Wenjin Liu · Haoran Luo · Xin Feng · Xiang Ji · Lijuan Zhou · Rui Mao · Jiapu Wang · Shirui Pan · Erik Cambria

摘要

Legal general intelligence (GI) refers to artificial intelligence (AI) that encompasses legal understanding, reasoning, and decision-making, simulating the expertise of legal experts across domains. However, existing benchmarks are result-oriented and fail to systematically evaluate the legal int...

社会与人本评测与基准推理OpenReview 项目页

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