| 1 |
Ranked List Truncation for Large Language Model-based Re-Ranking |
提出基于RLT的重排序方法以提升LLM效率与效果 |
large language model |
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| 2 |
Learnable Linguistic Watermarks for Tracing Model Extraction Attacks on Large Language Models |
提出可学习语言水印以追踪大型语言模型的提取攻击 |
large language model |
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| 3 |
Logic Agent: Enhancing Validity with Logic Rule Invocation |
提出逻辑代理以增强大型语言模型的推理有效性 |
large language model chain-of-thought |
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| 4 |
ComposerX: Multi-Agent Symbolic Music Composition with LLMs |
提出ComposerX框架以提升LLMs在音乐创作中的表现 |
chain-of-thought |
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| 5 |
CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval |
提出CLARINET以解决信息检索中的模糊请求问题 |
large language model |
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| 6 |
Generating Situated Reflection Triggers about Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning |
提出基于LLM的动态反馈机制以提升协作学习效果 |
large language model |
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| 7 |
Tabular Embedding Model (TEM): Finetuning Embedding Models For Tabular RAG Applications |
提出Tabular Embedding Model以解决表格数据分析问题 |
large language model |
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| 8 |
MMAC-Copilot: Multi-modal Agent Collaboration Operating Copilot |
提出MMAC-Copilot以解决多模态交互能力不足问题 |
large language model |
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| 9 |
Leveraging Prompts in LLMs to Overcome Imbalances in Complex Educational Text Data |
利用提示技术在LLMs中解决教育文本数据不平衡问题 |
large language model |
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