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Chenyang Yang

ACL 2026×2CHI 2026可解释性评测与基准多模态社会与人本
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2 一作 · 3 篇 · ACL 2026 / CHI 2026

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2026 顶会论文

3
一作ACL 2026Poster· ACL Industry Track

Detecting AI -Generated Content on Social Media with Multi-modal Language Models

Chenyang Yang · Shen Yan · Yibo Yang · Litao Hu · Yuchen Liu · Yuan Zeng · Hanchao Yu · Yinan Zhu · Sumedha Singla · Brian Vanover · Huijun Qian · Zihao Wang · Fujun Liu · Aashu Singh · Jianyu Wang · Xuewen Zhang

摘要

Generative AI has enabled the creation of photorealistic images and videos that are increasingly disseminated on social media, often used for spam, misinformation, manipulation, and fraud. Existing AI-generated content (AIGC) detection methods face challenges including poor generalization to new...

多模态可解释性评测与基准OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

What Prompts Don’t Say: Understanding and Managing Underspecification in LLM Prompts

Chenyang Yang · Yike Shi · Qianou Ma · Michael Xieyang Liu · Christian Kaestner · Tongshuang Wu

摘要

Prompt underspecification is a common challenge when interacting with LLMs. In this paper, we present an in-depth analysis of this problem, showing that while LLMs can often infer unspecified requirements by default (41.1%), such behavior is fragile: Under-specified prompts are 2x as likely to re...

可解释性评测与基准OpenReview 项目页

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