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Poster
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Thu 11:00
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Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning
Brian Zhang · Zhuo Zhang
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Workshop
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Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection
Shantanu Thorat · Tianbao Yang
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Poster
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Wed 11:00
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DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
Junchao Wu · Runzhe Zhan · Derek Wong · Shu Yang · Xinyi Yang · Yulin Yuan · Lidia Chao
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Workshop
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Sun 14:15
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Vision-LLMs Can Fool Themselves with Self-Generated Text
Maan Qraitem · Nazia Tasnim · Piotr Teterwak · Kate Saenko · Bryan Plummer
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Workshop
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Investigating LLM Memorization: Bridging Trojan Detection and Training Data Extraction
Manoj Acharya · Xiao Lin · Susmit Jha
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Workshop
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LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"
Som Sagar · Aditya Taparia · Ransalu Senanayake
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Poster
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Wed 11:00
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DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
XIAO YU · Yuang Qi · Kejiang Chen · Guoqiang Chen · Xi Yang · Pengyuan Zhu · Xiuwei Shang · Weiming Zhang · Nenghai Yu
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Workshop
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Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
Sungduk Yu · Man Luo · Avinash Madasu · VASUDEV LAL · Phillip Howard
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Poster
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Wed 16:30
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WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off
Eva Giboulot · Teddy Furon
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Workshop
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Sat 12:00
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To Believe or Not to Believe Your LLM
Yasin Abbasi Yadkori · Ilja Kuzborskij · András György · Csaba Szepesvari
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Workshop
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Detection of Partially-Synthesized LLM Text
Eric Lei · Hsiang Hsu · Richard Chen
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Poster
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Thu 16:30
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HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
Xuefeng Du · Chaowei Xiao · Sharon Li
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