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Group一直是研究计算机支持的合作工作、人机交互、计算机支持的协作学习和社会技术研究的主要场所。该会议将社会科学、计算机科学、工程、设计、价值观以及其他与小组工作相关的多个不同主题的工作结合起来，并进行了广泛的概念化。官网链接：https://group.acm.org/conferences/group20/
Let's move on: Topic Change in Robot-Facilitated Group Discussions
Arxiv
0+阅读 · 4月2日
Human-Centered Development of an Explainable AI Framework for Real-Time Surgical Risk Surveillance
Human-Centered Development of an Explainable AI Framework for Real-Time Surgical Risk Surveillance
Arxiv
0+阅读 · 4月3日
Sublinear Time Algorithms for Abelian Group Isomorphism and Basis Construction
Arxiv
0+阅读 · 4月3日
A Framework for Adapting Human-Robot Interaction to Diverse User Groups
Arxiv
0+阅读 · 4月3日
PromptMap: An Alternative Interaction Style for AI-Based Image Generation
Arxiv
0+阅读 · 4月3日
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
Arxiv
0+阅读 · 4月2日
F5R-TTS: Improving Flow Matching based Text-to-Speech with Group Relative Policy Optimization
F5R-TTS: Improving Flow Matching based Text-to-Speech with Group Relative Policy Optimization
Arxiv
0+阅读 · 4月3日
Unfiltered: How Teens Engage in Body Image and Shaming Discussions via Instagram Direct Messages (DMs)
Unfiltered: How Teens Engage in Body Image and Shaming Discussions via Instagram Direct Messages (DMs)
Arxiv
0+阅读 · 4月2日
VisAnatomy: An SVG Chart Corpus with Fine-Grained Semantic Labels
VisAnatomy: An SVG Chart Corpus with Fine-Grained Semantic Labels
Arxiv
0+阅读 · 4月3日
Group-based Distinctive Image Captioning with Memory Difference Encoding and Attention
Group-based Distinctive Image Captioning with Memory Difference Encoding and Attention
Arxiv
0+阅读 · 4月3日
Beyond the Spell: A Dynamic Logic Analysis of Misdirection
Arxiv
0+阅读 · 4月3日
GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning
GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning
Arxiv
0+阅读 · 4月3日
Bayesian Covariate-Dependent Graph Learning with a Dual Group Spike-and-Slab Prior
Arxiv
0+阅读 · 4月3日
A smooth multi-group Gaussian Mixture Model for cellwise robust covariance estimation
A smooth multi-group Gaussian Mixture Model for cellwise robust covariance estimation
Arxiv
0+阅读 · 4月3日
CBIL: Collective Behavior Imitation Learning for Fish from Real Videos
Arxiv
0+阅读 · 3月31日
参考链接
父主题
ACM
人机交互与普适计算
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