cs.CL（2024-05-18）

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支柱九：具身大模型 (Embodied Foundation Models) (9 🔗2)

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

#	题目	一句话要点	标签	🔗	⭐
1	WisPerMed at "Discharge Me!": Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV	利用大语言模型、动态专家选择和Priming技术，在MIMIC-IV上实现医疗文本生成	large language model
2	EnviroExam: Benchmarking Environmental Science Knowledge of Large Language Models	EnviroExam：构建环境科学知识评测基准，评估大语言模型性能	large language model
3	Large Language Models Lack Understanding of Character Composition of Words	揭示大语言模型在单词字符组成理解上的不足	large language model
4	MBIAS: Mitigating Bias in Large Language Models While Retaining Context	MBIAS：在保留上下文的同时减轻大型语言模型中的偏见	large language model	✅
5	MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing	提出MemeMQA框架，通过基于推理的多模态问答解决Meme理解难题。	multimodal
6	Automating PTSD Diagnostics in Clinical Interviews: Leveraging Large Language Models for Trauma Assessments	利用大型语言模型自动诊断临床访谈中的创伤后应激障碍	large language model
7	LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs	提出基于伪标签不可回答问题的自训练方法，提升EHR文本到SQL系统的可靠性	large language model
8	Cross-Language Assessment of Mathematical Capability of ChatGPT	跨语言评估ChatGPT数学能力：聚焦印地语等区域语言	chain-of-thought
9	MapCoder: Multi-Agent Code Generation for Competitive Problem Solving	MapCoder：多智能体协同代码生成，解决复杂编程问题	large language model	✅

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