| 1 |
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages |
提出Chat Vector以解决多语言指令跟随与模型对齐问题 |
large language model instruction following |
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| 2 |
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models |
提出残差连接提示以提升大语言模型的多步推理能力 |
large language model chain-of-thought |
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| 3 |
Data-Centric Financial Large Language Models |
提出数据中心化方法以提升金融领域大语言模型性能 |
large language model |
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| 4 |
An Evaluation of State-of-the-Art Large Language Models for Sarcasm Detection |
评估先进大语言模型在讽刺检测中的应用效果 |
large language model |
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| 5 |
Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU |
提出IndoMMLU基准以评估印尼语言模型能力 |
large language model |
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| 6 |
FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets |
提出FinGPT以解决金融领域大语言模型的适应性问题 |
large language model |
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| 7 |
Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning |
提出不确定性感知的上下文学习框架以提升大型语言模型的可靠性 |
large language model |
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| 8 |
The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning |
研究模型规模对语言模型核心能力的影响 |
large language model |
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| 9 |
Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy |
提出一种多元化方法以平衡LLMs的通用与专业技能 |
large language model |
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