cs.CL(2024-08-25)

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

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

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1 Knowledge-Aware Reasoning over Multimodal Semi-structured Tables 提出MMTabQA数据集,用于评估AI模型在多模态半结构化表格上的知识推理能力。 multimodal
2 Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models 评估多种语言模型在胃肠病学中的医学推理能力 large language model
3 LLMs are Superior Feedback Providers: Bootstrapping Reasoning for Lie Detection with Self-Generated Feedback 利用自生成反馈,提升LLM在谎言检测中的推理能力 large language model
4 CodeGraph: Enhancing Graph Reasoning of LLMs with Code CodeGraph:利用代码增强大语言模型在图推理任务中的能力 large language model
5 Path-Consistency with Prefix Enhancement for Efficient Inference in LLMs 提出Path-Consistency方法,提升LLM推理效率并保持精度 large language model
6 Derailer-Rerailer: Adaptive Verification for Efficient and Reliable Language Model Reasoning 提出Derailer-Rerailer框架,自适应验证提升大语言模型推理效率与可靠性 large language model
7 MobileQuant: Mobile-friendly Quantization for On-device Language Models MobileQuant:面向移动设备的LLM量化方法,实现低延迟和低功耗。 large language model
8 LLM with Relation Classifier for Document-Level Relation Extraction 提出一种结合关系分类器的LLM方法,提升文档级关系抽取性能。 large language model

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