cs.AI（2024-07-30）

📊 共 10 篇论文

🎯 兴趣领域导航

#	题目	一句话要点	标签
1	GenRec: Generative Sequential Recommendation with Large Language Models	GenRec：利用大型语言模型进行生成式序列推荐，实现SOTA性能。	large language model
2	How to Measure the Intelligence of Large Language Models?	探讨大语言模型智能评估方法：超越任务指标，兼顾质量与数量	large language model
3	TaskEval: Assessing Difficulty of Code Generation Tasks for Large Language Models	TaskEval框架通过多样化提示和IRT评估LLM代码生成任务难度，提升性能理解。	large language model
4	Large Language Models (LLMs) for Semantic Communication in Edge-based IoT Networks	提出基于边缘计算的LLM语义通信框架，提升IoT网络效率	large language model
5	Learn by Selling: Equipping Large Language Models with Product Knowledge for Context-Driven Recommendations	提出基于产品知识训练的大语言模型，用于上下文驱动的商品推荐	large language model
6	Cocobo: Exploring Large Language Models as the Engine for End-User Robot Programming	Cocobo：探索大型语言模型驱动的终端用户机器人编程系统	large language model
7	Mimicking the Mavens: Agent-based Opinion Synthesis and Emotion Prediction for Social Media Influencers	提出基于Agent的观点合成与情感预测框架，用于预测社交媒体影响者观点及公众情绪。	large language model

#	题目	一句话要点	标签
8	From Feature Importance to Natural Language Explanations Using LLMs with RAG	提出基于RAG的LLM解释框架，用于提升场景理解任务中模型决策的可解释性	predictive model scene understanding large language model
9	ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning	提出ARCLE：一个用于强化学习的抽象与推理语料库学习环境	reinforcement learning world model
10	Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies	提出基于时空归一化和编码策略的脉冲图神经网络，提升图表示学习效率。	representation learning