| 1 |
Mitigating Hallucinations in Large Language Models via Causal Reasoning |
提出CDCR-SFT以解决大语言模型的幻觉问题 |
large language model chain-of-thought |
✅ |
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| 2 |
MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph |
提出MedKGent框架以构建动态演变的医学知识图谱 |
large language model TAMP |
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| 3 |
The Structural Sources of Verb Meaning Revisited: Large Language Models Display Syntactic Bootstrapping |
探讨大型语言模型中的句法引导对动词意义学习的影响 |
large language model |
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| 4 |
Uncovering Emergent Physics Representations Learned In-Context by Large Language Models |
探讨大型语言模型在上下文中学习物理表征的能力 |
large language model |
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| 5 |
The Cultural Gene of Large Language Models: A Study on the Impact of Cross-Corpus Training on Model Values and Biases |
提出文化基因概念以探讨大语言模型的文化偏见问题 |
large language model |
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| 6 |
What do Speech Foundation Models Learn? Analysis and Applications |
提出轻量级分析框架以提升语音基础模型的理解与应用 |
foundation model |
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| 7 |
Arabic Multimodal Machine Learning: Datasets, Applications, Approaches, and Challenges |
提出阿拉伯多模态机器学习的分类体系以解决研究空白问题 |
multimodal |
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| 8 |
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow |
提出认知决策路由框架以优化大语言模型的推理策略 |
large language model |
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| 9 |
Is GPT-OSS Good? A Comprehensive Evaluation of OpenAI's Latest Open Source Models |
评估OpenAI的GPT-OSS模型在多任务中的表现 |
large language model |
✅ |
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| 10 |
An Auditable Pipeline for Fuzzy Full-Text Screening in Systematic Reviews: Integrating Contrastive Semantic Highlighting and LLM Judgment |
提出模糊全文本筛选管道以解决系统评价中的文献筛选问题 |
large language model |
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| 11 |
ZigzagAttention: Efficient Long-Context Inference with Exclusive Retrieval and Streaming Heads |
提出ZigzagAttention以解决长上下文推理中的KV缓存问题 |
large language model |
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| 12 |
Research on intelligent generation of structural demolition suggestions based on multi-model collaboration |
提出基于多模型协作的智能结构拆除建议生成方法 |
large language model |
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| 13 |
The Self-Execution Benchmark: Measuring LLMs' Attempts to Overcome Their Lack of Self-Execution |
提出自执行基准以评估大语言模型的自我预测能力 |
large language model |
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| 14 |
Fast, Slow, and Tool-augmented Thinking for LLMs: A Review |
提出新分类法以提升大语言模型的推理能力 |
large language model |
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