cs.AI（2024-01-05）

📊 共 13 篇论文 | 🔗 3 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (11 🔗3) 支柱三：空间感知与语义 (Perception & Semantics) (1) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (11 篇)

#	题目	一句话要点	标签	🔗	⭐
1	UMIE: Unified Multimodal Information Extraction with Instruction Tuning	提出UMIE以解决多模态信息提取的通用性问题	large language model multimodal	✅
2	Can Large Language Models Understand Molecules?	利用大语言模型提升分子嵌入理解能力	large language model	✅
3	AFSPP: Agent Framework for Shaping Preference and Personality with Large Language Models	提出AFSPP框架以塑造大语言模型的偏好与个性	large language model
4	Natural Language Programming in Medicine: Administering Evidence Based Clinical Workflows with Autonomous Agents Powered by Generative Large Language Models	利用生成性大语言模型提升医疗临床工作流的自动化	large language model
5	XUAT-Copilot: Multi-Agent Collaborative System for Automated User Acceptance Testing with Large Language Model	提出XUAT-Copilot以解决用户验收测试自动化问题	large language model
6	Training and Serving System of Foundation Models: A Comprehensive Survey	综述基础模型的训练与服务系统以应对计算挑战	foundation model
7	CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution	提出CRUXEval基准以评估代码推理与执行能力	chain-of-thought
8	Thousands of AI Authors on the Future of AI	对2778名AI研究者的调查揭示未来AI发展的预测与挑战	large language model
9	Accelerating a Triton Fused Kernel for W4A16 Quantized Inference with SplitK work decomposition	提出高效融合矩阵乘法内核以加速W4A16量化推理	foundation model
10	Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks	提出参数高效稀疏性构建方法以提升指令调优效果	large language model	✅
11	Characteristics and prevalence of fake social media profiles with AI-generated faces	提出一种方法识别AI生成面孔的虚假社交媒体账户	multimodal

🔬 支柱三：空间感知与语义 (Perception & Semantics) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
12	Progress and Prospects in 3D Generative AI: A Technical Overview including 3D human	综述2023年3D生成AI进展，聚焦人类模型与动作生成	3D gaussian splatting 3DGS gaussian splatting

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
13	Pheme: Efficient and Conversational Speech Generation	提出Pheme模型以解决实时对话语音生成问题	teacher-student distillation large language model

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