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Aldo Lipani

ACL 2026×2强化学习与后训练检索与知识智能体与工具对齐与偏好评测与基准
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #11/11ACL 2026Poster· Natural Language Processing

Mitigating Context Interference for Reliable and Efficient Search Agents

Boyang XUE · Bin Wu · Shuofei Qiao · Sheng Wang · Rui Wang · Yiming Du · Hongru WANG · Jeff Z. Pan · Emine Yilmaz · Kam-Fai Wong · Aldo Lipani

摘要

Recent research empowers Large Language Models (LLMs) as multi-turn search agents to iteratively retrieve and generate outputs until complex tasks are solved. However, the contexts of multi-turn search agents are lengthy and complex. For example, the retrieved set of documents in each turn would...

强化学习与后训练检索与知识智能体与工具OpenReview 项目页
作者位次 #3/3ACL 2026Findings· Findings of ACL

Multilingual Refusal Alignment for Safer Large Language Models

Aleksandra Krasnodębska · Wojciech Kusa · Aldo Lipani

摘要

As Large Language Models (LLMs) are deployed globally, ensuring their safety and alignment across multiple languages becomes paramount. However, safety behaviors often vary unpredictably between languages, posing significant challenges for consistent and ethical AI. In this work, we systematicall...

对齐与偏好评测与基准安全OpenReview 项目页

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