| 1 |
Distilling Reasoning Ability from Large Language Models with Adaptive Thinking |
提出自适应思维机制以提升小型语言模型的推理能力 |
large language model chain-of-thought |
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| 2 |
Evaluation and Improvement of Fault Detection for Large Language Models |
提出MuCS框架以提升大语言模型故障检测能力 |
large language model |
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| 3 |
Evidence from counterfactual tasks supports emergent analogical reasoning in large language models |
提出反事实任务支持大型语言模型的类比推理能力 |
large language model |
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| 4 |
Self-Selected Attention Span for Accelerating Large Language Model Inference |
提出自选注意力范围以加速大语言模型推理 |
large language model |
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| 5 |
GeMQuAD : Generating Multilingual Question Answering Datasets from Large Language Models using Few Shot Learning |
提出GeMQuAD以解决多语言问答数据生成问题 |
large language model |
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| 6 |
Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models |
提出熵引导的外推解码以提高大型语言模型的事实性 |
large language model |
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| 7 |
Large Language Models are as persuasive as humans, but how? About the cognitive effort and moral-emotional language of LLM arguments |
探讨大型语言模型的说服力及其策略 |
large language model |
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| 8 |
When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models |
提出无外部反馈的自我反思评估方法以提升LLM推理能力 |
large language model |
✅ |
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| 9 |
Towards Practical Tool Usage for Continually Learning LLMs |
提出工具使用方法以解决LLM持续学习问题 |
large language model |
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| 10 |
Test Code Generation for Telecom Software Systems using Two-Stage Generative Model |
提出两阶段生成模型以解决电信软件系统测试代码生成问题 |
large language model |
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| 11 |
From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representation |
通过微调Gemma和Mistral解决乌克兰语言表示不足问题 |
large language model |
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