cs.CL（2024-04-13）

📊 共 12 篇论文

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (10) 支柱二：RL算法与架构 (RL & Architecture) (2)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (10 篇)

#	题目	一句话要点	标签	🔗	⭐
1	On Speculative Decoding for Multimodal Large Language Models	提出投机解码以提升多模态大语言模型的推理效率	large language model multimodal
2	Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model	提出跨语言学习的心理健康预测任务解决方案	large language model
3	Leveraging Large Language Model as Simulated Patients for Clinical Education	提出CureFun框架以解决临床教育中模拟患者的不足问题	large language model
4	Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation	探讨大语言模型在行为模拟中的概率分布采样能力	large language model
5	MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts	提出MING-MOE以解决医疗多任务学习中的注释需求问题	large language model
6	Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles	提出多模态方法以解决跨文档事件共指解析问题	multimodal
7	Introducing Super RAGs in Mistral 8x7B-v1	提出超级检索增强生成以提升大型语言模型性能	large language model
8	Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension	提出逻辑等价代码选择任务以提升代码理解能力	large language model
9	Aligning the Objective of LLM-based Program Repair	提出D4C框架以解决LLM程序修复中的目标对齐问题	large language model
10	LLM In-Context Recall is Prompt Dependent	分析LLM的上下文回忆能力与提示依赖性	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	🔗	⭐
11	CodeCloak: A Method for Evaluating and Mitigating Code Leakage by LLM Code Assistants	提出CodeCloak以解决LLM代码助手的代码泄露问题	reinforcement learning deep reinforcement learning
12	RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations	提出RoNID框架以解决新意图发现中的伪标签不准确问题	representation learning contrastive learning

⬅️ 返回 cs.CL 首页 · 🏠 返回主页