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SpatialLM: Training Large Language Models for Structured Indoor Modeling
Paper • 2506.07491 • Published • 50 -
Story2Board: A Training-Free Approach for Expressive Storyboard Generation
Paper • 2508.09983 • Published • 69 -
Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens
Paper • 2503.01710 • Published • 6 -
HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels
Paper • 2507.21809 • Published • 137
Samuel Thio
sthio90
·
AI & ML interests
None yet
Organizations
Agentic-AI
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Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory
Paper • 2508.09736 • Published • 57 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 122 -
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Paper • 2503.21460 • Published • 83 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 228
Multimodal-AI
-
SpatialLM: Training Large Language Models for Structured Indoor Modeling
Paper • 2506.07491 • Published • 50 -
Story2Board: A Training-Free Approach for Expressive Storyboard Generation
Paper • 2508.09983 • Published • 69 -
Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens
Paper • 2503.01710 • Published • 6 -
HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels
Paper • 2507.21809 • Published • 137
Agentic-AI
-
Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory
Paper • 2508.09736 • Published • 57 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 122 -
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Paper • 2503.21460 • Published • 83 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 228
models
0
None public yet
datasets
0
None public yet