cs.CL(2023-11-12)

📊 共 10 篇论文 | 🔗 2 篇有代码

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支柱九:具身大模型 (Embodied Foundation Models) (8 🔗2) 支柱二:RL算法与架构 (RL & Architecture) (2)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (8 篇)

#题目一句话要点标签🔗
1 Trusted Source Alignment in Large Language Models 提出可信源对齐方法以解决语言模型信息不一致问题 large language model
2 Detecting and Correcting Hate Speech in Multimodal Memes with Large Visual Language Model 利用大规模视觉语言模型检测和纠正仇恨言论的多模态表情包 large language model multimodal
3 Can Large Language Models Augment a Biomedical Ontology with missing Concepts and Relations? 利用大型语言模型扩展生物医学本体以填补缺失概念 large language model
4 Large Language Models are In-context Teachers for Knowledge Reasoning 提出Self-Explain与Teach-Back以提升知识推理能力 large language model
5 GIELLM: Japanese General Information Extraction Large Language Model Utilizing Mutual Reinforcement Effect 提出GIELLM以解决多任务信息提取问题 large language model
6 Evaluation of GPT-4 for chest X-ray impression generation: A reader study on performance and perception 评估GPT-4在胸部X光印象生成中的应用以减轻放射科医生负担 foundation model multimodal
7 Flames: Benchmarking Value Alignment of LLMs in Chinese 提出Flames基准以评估大型语言模型的价值对齐问题 large language model
8 Tunable Soft Prompts are Messengers in Federated Learning 提出可调软提示以解决联邦学习中的隐私保护问题 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
9 Are LLMs Rigorous Logical Reasoners? Empowering Natural Language Proof Generation by Stepwise Decoding with Contrastive Learning 提出逐步解码与对比学习以提升LLM的逻辑推理能力 contrastive learning large language model
10 Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding 提出KANGAROO框架以解决闭域自然语言理解中的知识稀疏问题 representation learning contrastive learning

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