| 1 |
An Empirical Study on Self-correcting Large Language Models for Data Science Code Generation |
提出CoT-SelfEvolve框架,通过自纠正机制提升LLM在数据科学代码生成中的准确性。 |
large language model chain-of-thought |
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| 2 |
Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning |
利用大语言模型和上下文学习解决无线通信符号检测问题 |
large language model |
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| 3 |
Persuasion Games using Large Language Models |
提出基于LLM的多智能体说服框架,用于影响用户决策 |
large language model |
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| 4 |
Evaluating Named Entity Recognition Using Few-Shot Prompting with Large Language Models |
利用大语言模型和小样本提示提升命名实体识别性能 |
large language model |
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| 5 |
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models |
LogicGame:用于评估大语言模型规则推理能力的新基准 |
large language model |
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| 6 |
BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding |
BELT-2:通过脑电-语言表征对齐引导多任务脑解码 |
large language model |
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| 7 |
LLM-assisted Labeling Function Generation for Semantic Type Detection |
提出基于LLM辅助的标注函数生成方法,用于解决数据湖中语义类型检测的标注难题。 |
large language model |
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| 8 |
Towards Logically Sound Natural Language Reasoning with Logic-Enhanced Language Model Agents |
提出LELMA框架,通过逻辑增强提升LLM Agent在开放式推理任务中的逻辑一致性。 |
large language model |
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| 9 |
CodeSift: An LLM-Based Reference-Less Framework for Automatic Code Validation |
CodeSift:基于LLM的无参考代码自动验证框架,提升代码质量。 |
large language model |
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| 10 |
Toward Automated Simulation Research Workflow through LLM Prompt Engineering Design |
提出基于LLM提示工程的自主模拟Agent,实现科研工作流自动化 |
large language model |
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