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Rui Wang

ACL 2026×3ICML 2026×2强化学习与后训练多模态效率与系统多语言与语言学评测与基准
新星分资深
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方向广度13
合作网络6
0 一作 · 5 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

5
作者位次 #5/5ICML 2026Poster· Applications / Language, Speech and Dialog

ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World

Ziyin Zhang · Zihan Liao · Hang Yu · Peng Di · Rui Wang

多模态效率与系统多语言与语言学OpenReview
作者位次 #5/5ACL 2026Workshop· ACL System Demonstrations

B abel DOC : Better Layout-Preserving PDF Translation via Intermediate Representation

Yang Qi · Xiangyao Ma · Xiao Wang · Hao Wang · Rui Wang

摘要

As global cross-lingual communication intensifies, language barriers in visually rich documents such as PDFs remain a practical bottleneck. Existing document translation pipelines face a tension between linguistic processing and layout preservation: text-oriented Computer-Assisted Translation (CA...

多模态评测与基准多语言与语言学OpenReview 项目页
作者位次 #3/6ACL 2026Poster· ACL Industry Track

T ing IS : Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale

Jun Wang · Ziyin Zhang · Rui Wang · Hang Yu · Peng Di · Rui Wang

摘要

Real-time detection and mitigation of technical anomalies are critical for large-scale cloud-native services, where even minutes of downtime can result in massive financial losses and diminished user trust. While customer incidents serve as a vital signal for discovering risks missed by monitorin...

效率与系统可解释性评测与基准OpenReview 项目页
作者位次 #5/7ACL 2026Findings· Findings of ACL

R epo D istill: Distilling Repository Knowledge through Compression-Aware Budget Allocation and Policy Optimization

Xin Yin · Zixiang Ding · Yiang Zhang · Qiang Wang · Rui Wang · Chao Ni · Zhe Cui

摘要

Large Language Models (LLMs) have achieved strong performance on many code-related tasks, yet they still struggle with repository-level scenarios where reasoning depends on long, noisy, and structurally complex contexts. While existing retrieval methods, including both similarity-based and graph-...

推理强化学习与后训练检索与知识OpenReview 项目页

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