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Yuanxing Liu

ACL 2026×2ICML 2026强化学习与后训练社会与人本可解释性多模态评测与基准
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0 一作 · 3 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

3
作者位次 #5/7ACL 2026Poster· Natural Language Processing

Exploring and Distilling Multi-Dimensional Clues for Interpretable Social Bot Detection

Yi Han · Haiqi Lu · Lizi Liao · Shuhan Zhou · Yuanxing Liu · Weinan Zhang · Ting Liu

摘要

Social bot accounts have long been disseminating disinformation and engaging in malicious activities on social media platforms. Detecting these social bots has become a critical and urgent task, essential for maintaining a healthy online ecosystem. Existing social bot detection research usually p...

强化学习与后训练社会与人本可解释性OpenReview 项目页
作者位次 #3/8ACL 2026Findings· Findings of ACL

FAER : Benchmarking VLM s for Failure-Aware Embodied Reasoning

Hao Song · Kaifeng Liu · Yuanxing Liu · Xiang Tian · Xuesong Wang · Chen Yifan · Weinan Zhang · Ting Liu

摘要

Failures are inevitable when embodied agents execute complex tasks. Visual-language models (VLMs) serve as the core component of embodied agents in perceiving the environment and making decisions. Assessing the capabilities of VLMs in detecting and reasoning about failures has become increasingly...

多模态评测与基准推理OpenReview 项目页

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