| 1 |
Soft Inductive Bias Approach via Explicit Reasoning Perspectives in Inappropriate Utterance Detection Using Large Language Models |
提出基于显式推理视角的软归纳偏置方法,用于不当言论检测 |
large language model chain-of-thought |
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| 2 |
Knowledge-Guided Large Language Model for Automatic Pediatric Dental Record Understanding and Safe Antibiotic Recommendation |
提出知识引导的大型语言模型以解决儿童牙科记录理解和安全抗生素推荐问题 |
large language model |
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| 3 |
QSTN: A Modular Framework for Robust Questionnaire Inference with Large Language Models |
QSTN:一个用于大型语言模型稳健问卷推断的模块化框架 |
large language model |
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| 4 |
MindShift: Analyzing Language Models' Reactions to Psychological Prompts |
MindShift:分析语言模型对心理学提示的反应,评估其人格适应性 |
large language model |
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| 5 |
Detecting Hallucinations in Graph Retrieval-Augmented Generation via Attention Patterns and Semantic Alignment |
提出GGA模型,通过注意力模式和语义对齐检测GraphRAG中的幻觉问题 |
large language model |
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| 6 |
Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders |
提出RAGLens,利用稀疏自编码器提升检索增强生成的事实性检测。 |
large language model |
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| 7 |
HarmTransform: Transforming Explicit Harmful Queries into Stealthy via Multi-Agent Debate |
提出HarmTransform,通过多智能体辩论将显式有害查询转化为隐蔽性更强的形式。 |
large language model |
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