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Institute of Information Engineering, Chinese Academy of Sciences, School of Cyber Security, University of Chinese Academy of Sciences
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EchoPrompt reveals that by restoring latent prompts, we can significantly enhance the detection of LLM-generated text, achieving state-of-the-art results without any training.
CRS-Triage achieves superior predictive performance in emergency triage by effectively managing incomplete and inconsistent EHR data while minimizing the risk of under-triage.
LLMs often invoke irrelevant tools just because the query structure *fits* the tool's parameters, revealing a surprising and widespread flaw in their reasoning.
LLMs can now perform entity alignment with greater interpretability and efficiency thanks to a new agent-based approach that structures the reasoning process.
Finally, a practical way to audit LLM watermarks without needing the model provider's secret sauce.
