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Li Guo

ACL 2026×4安全可解释性评测与基准检索与知识智能体与工具
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0 一作 · 4 篇 · ACL 2026

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2026 顶会论文

4
作者位次 #6/6ACL 2026Poster· Natural Language Processing

Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI -Generated Text Detection

Xiaowei Zhu · Yubing Ren · Fang Fang · Shi Wang · Yanan Cao · Li Guo

摘要

The rapid advancement of large language models has increasingly blurred the boundary between human-written and AI-generated text, raising societal risks such as misinformation dissemination, authorship ambiguity, and threats to intellectual property rights. These concerns highlight the urgent nee...

安全评测与基准可解释性OpenReview 项目页
作者位次 #7/8ACL 2026Poster· Natural Language Processing

H yper M em: Hypergraph Memory for Long-Term Conversations

Juwei Yue · Chuanrui Hu · Jiawei Sheng · Zuyi Zhou · Wenyuan Zhang · Tingwen Liu · Li Guo · Yafeng Deng

摘要

Long-term memory is essential for conversational agents to maintain coherence, track persistent tasks, and provide personalized interactions across extended dialogues. However, existing approaches as Retrieval-Augmented Generation (RAG) and graph-based memory mostly rely on pairwise relations, wh...

检索与知识评测与基准智能体与工具OpenReview 项目页
作者位次 #6/6ACL 2026Findings· Findings of ACL

Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party Framework

Zhuoshang Wang · Yubing Ren · Yanan Cao · Fang Fang · Xiaoxue Li · Li Guo

摘要

While watermarking serves as a critical mechanism for LLM provenance, existing secret-key schemes tightly couple detection with injection, requiring access to keys or provider-side scheme-specific detectors for verification. This dependency creates a fundamental barrier for real-world governance,...

安全对齐与偏好可解释性OpenReview 项目页
作者位次 #7/7ACL 2026Findings· Findings of ACL

D ual G uard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack

Hao Li · Yubing Ren · Yanan Cao · Yingjie Li · Fang Fang · Shi Wang · Li Guo

摘要

With the rapid development of cloud-based services, large language models have become increasingly accessible through various web platforms. However, this accessibility has also led to growing risks of model abuse. LLM watermarking has emerged as an effective approach to mitigate such misuse and...

安全可解释性数据与预训练OpenReview 项目页

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