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Ali Al-Lawati

AwardACL 2026×2ICML 2026KDD 2026评测与基准多语言与语言学安全检索与知识数据与预训练
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核心/参与26
方向广度16
合作网络9
2 一作 · 4 篇 · ACL 2026 / ICML 2026 / KDD 2026

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2026 顶会论文

4
一作ICML 2026Poster· General Machine Learning / Evaluation

Position: LLM Benchmark Datasets should be Contamination-Resistant

Ali Al-Lawati · Jason Lucas · Dongwon Lee · Suhang Wang

评测与基准数据与预训练OpenReview
作者位次 #3/6ACL 2026OralBest Social Impact Paper· Natural Language Processing

DIA - HARM : Dialectal Disparities in Harmful Content Detection Across 50 E nglish Dialects

Jason S. Lucas · Matt Murtagh White · Ali Al-Lawati · Uchendu Uchendu · Adaku Uchendu · Dongwon Lee

摘要

Harmful content detectors—particularly disinformation classifiers—are predominantly developed and evaluated on Standard American English (), leaving their robustness to dialectal variation unexplored. We present , the first benchmark for evaluating disinformation detection robustness across 50 En...

多语言与语言学评测与基准安全OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

Do Multimodal RAG Systems Leak Data? A Comprehensive Evaluation of Membership Inference and Image Caption Retrieval Attacks

Ali Al-Lawati · Suhang Wang

摘要

The growing adoption of multimodal Retrieval-Augmented Generation (mRAG) pipelines for vision-centric tasks (e.g., visual QA) introduces important privacy challenges. In particular, while mRAG provides a practical capability to connect private datasets and improve model performance, it risks the...

多模态检索与知识安全OpenReview 项目页

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