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Filippo Menczer

ACL 2026×2推理多模态社会与人本检索与知识评测与基准
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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 #6/6ACL 2026Poster· Natural Language Processing

P lu R ule: A Benchmark for Moderating Pluralistic Communities on Social Media

Zoher Kachwala · Bao Tran Truong · Rasika Muralidharan · Haewoon Kwak · Jisun An · Filippo Menczer

摘要

Social media are shifting towards pluralism — community-governed platforms where groups define their own norms. What violates rules in one community may be perfectly acceptable in another. Can AI models help moderate such pluralistic communities? We formalize the task as a multiple-choice problem...

多模态社会与人本推理OpenReview 项目页
作者位次 #4/4ACL 2026Findings· Findings of ACL

Large Language Models Require Curated Context for Reliable Political Fact-Checking— E ven with Reasoning and Web Search

Matthew R. DeVerna · Kai-Cheng Yang · Harry Yaojun Yan · Filippo Menczer

摘要

Large language models (LLMs) have raised hopes for automated end-to-end fact-checking, but prior studies report mixed results. As mainstream chatbots increasingly ship with reasoning capabilities and web search tools—and millions of users already rely on them for verification—rigorous evaluation...

检索与知识推理评测与基准OpenReview 项目页

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