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Mourad Oussalah

ACL 2026ICML 2026SIGIR 2026强化学习与后训练检索与知识对齐与偏好效率与系统数据与预训练
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0 一作 · 3 篇 · ACL 2026 / ICML 2026 / SIGIR 2026

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2026 顶会论文

3
作者位次 #2/2ACL 2026Findings· Findings of ACL

Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Models: A R elief W eb-based Study

Yuanjun Zhang · Mourad Oussalah

摘要

Humanitarian reports are long, noisy, and multi-topic, making it difficult to consolidate decision-relevant causal evidence. We present a ReliefWeb study (2000–2024) and a two-stage Large Language Model (LLM) pipeline that extracts structured intervention-outcome records with direction and streng...

强化学习与后训练效率与系统数据与预训练OpenReview 项目页
作者位次 #2/3SIGIR 2026Poster· Information Retrieval (Demo)

XFoodRec: An Explainable Mobile Recommender for Personalized Healthy Eating

Amir Mollazadeh · Mourad Oussalah · Mehrdad Rostami

摘要

Food recommender systems often struggle with popularity bias that favors unhealthy recipes, making the promotion of healthier items a significant communication challenge. While explainable recommendations can help justify healthy trade-offs, evaluating their real-world impact is often hindered by...

社会与人本评测与基准检索与知识OpenReview

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