cs.CL（2023-12-31）

📊 共 9 篇论文

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支柱九：具身大模型 (Embodied Foundation Models) (9)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (9 篇)

#	题目	一句话要点	标签	🔗	⭐
1	keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM	Keqing：基于知识的问答作为LLM的自然CoT导师，提升复杂问题回答的可靠性。	large language model chain-of-thought
2	DocLLM: A layout-aware generative language model for multimodal document understanding	提出DocLLM以解决多模态文档理解中的布局问题	large language model multimodal
3	HSC-GPT: A Large Language Model for Human Settlements Construction	提出HSC-GPT，针对人居环境建设领域设计的大型语言模型框架。	large language model
4	GeoGalactica: A Scientific Large Language Model in Geoscience	GeoGalactica：面向地球科学的300亿参数大型语言模型，通过预训练和指令微调实现。	large language model
5	Improving Text Embeddings with Large Language Models	利用大型语言模型和合成数据，无需标注数据即可显著提升文本嵌入质量。	large language model
6	State of What Art? A Call for Multi-Prompt LLM Evaluation	提出多提示LLM评估框架，解决单提示评估的脆弱性问题	large language model
7	BatchEval: Towards Human-like Text Evaluation	提出BatchEval，通过批量评估范式提升大语言模型文本评估能力	large language model
8	SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-modal Intent Detection	提出SDIF-DA框架，通过浅层到深层交互和数据增强解决多模态意图检测问题	large language model
9	RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models	RAGTruth：构建幻觉语料库，提升检索增强语言模型的可靠性	large language model

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