ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

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Agent S: An Open Agentic Framework that Uses Computers Like a Human

📝 Summary:
Agent S is an open agentic framework enabling autonomous GUI interaction to automate complex tasks. It employs experience-augmented hierarchical planning and an Agent-Computer Interface with MLLMs for enhanced reasoning. Agent S achieves state-of-the-art performance on OSWorld and demonstrates br...

🔹 Publication Date: Published on Oct 10, 2024

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2410.08164
• PDF: https://arxiv.org/pdf/2410.08164
• Github: https://huggingface.co/collections/ranpox/awesome-computer-use-agents

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For more data science resources:
https://t.me/DataScienceT

#AgenticAI #MultimodalAI #HumanComputerInteraction #Automation #AIResearch
Towards Seamless Interaction: Causal Turn-Level Modeling of Interactive 3D Conversational Head Dynamics

📝 Summary:
TIMAR is a new causal framework for 3D conversational head generation. It models dialogue using interleaved audio-visual contexts to predict continuous head dynamics, improving coherence and expressive variability. Experiments show TIMAR significantly reduces errors and improves performance.

🔹 Publication Date: Published on Dec 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.15340
• PDF: https://arxiv.org/pdf/2512.15340
• Project Page: https://github.com/CoderChen01/towards-seamleass-interaction/blob/main/README.md
• Github: https://github.com/CoderChen01/towards-seamleass-interaction

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For more data science resources:
https://t.me/DataScienceT

#ConversationalAI #3DAnimation #HumanComputerInteraction #CausalModeling #AI