| 1 |
Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference |
利用思维链和提示工程，探索大语言模型在交通事故严重程度分析与推断中的应用 |
large language model chain-of-thought |
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| 2 |
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models |
提出DiReCT数据集，用于评估大型语言模型在临床诊断推理中的能力与可解释性 |
large language model |
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| 3 |
A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios |
提出一种新指标，评估大型语言模型在非对抗场景下的鲁棒性 |
large language model |
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| 4 |
Cross-layer Attention Sharing for Pre-trained Large Language Models |
LISA：通过跨层注意力共享，高效压缩预训练大语言模型中的冗余计算。 |
large language model |
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| 5 |
Analyzing Cultural Representations of Emotions in LLMs through Mixed Emotion Survey |
通过混合情绪调查分析LLM中情感的文化表征 |
large language model |
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| 6 |
Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference |
提出决策与复合风险评估框架，提升LLM在自然语言推理中的置信度校准。 |
large language model |
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| 7 |
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process |
提出基于语言模型的DPP以优化示例选择在上下文学习中的应用 |
large language model |
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| 8 |
LLaSA: Large Language and E-Commerce Shopping Assistant |
LLaSA：基于大型语言模型的电商购物助手，解决任务泛化性与知识缺失问题 |
large language model |
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