cs.CL（2024-10-01）

📊 共 7 篇论文

🎯 兴趣领域导航

#	题目	一句话要点	标签
1	ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation	ERASMO：利用大型语言模型增强聚类分割，处理多模态表格数据。	large language model multimodal
2	FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices	FedPT：面向资源受限边缘设备的联邦代理调优大语言模型	large language model
3	Self-controller: Controlling LLMs with Multi-round Step-by-step Self-awareness	提出Self-controller框架，通过多轮自感知控制LLM生成文本长度。	large language model foundation model chain-of-thought
4	PclGPT: A Large Language Model for Patronizing and Condescending Language Detection	提出PclGPT，用于检测带有优越感和屈尊态度的语言	large language model
5	Grammar Induction from Visual, Speech and Text	提出VAT-GI任务和VaTiora框架，实现基于视觉、语音和文本的多模态无监督语法归纳。	multimodal
6	Preserving Generalization of Language models in Few-shot Continual Relation Extraction	提出一种基于互信息最大化的方法，解决少样本持续关系抽取中的灾难性遗忘问题。	large language model

#	题目	一句话要点	标签	🔗	⭐
7	LEME: Open Large Language Models for Ophthalmology with Advanced Reasoning and Clinical Validation	LEME：面向眼科的开放大语言模型，具备高级推理能力和临床验证	reinforcement learning large language model