Collections
Discover the best community collections!
Collections including paper arxiv:2603.08823
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MIBURI: Towards Expressive Interactive Gesture Synthesis
Paper • 2603.03282 • Published • 4 -
BBQ-to-Image: Numeric Bounding Box and Qolor Control in Large-Scale Text-to-Image Models
Paper • 2602.20672 • Published • 10 -
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant
Paper • 2603.01059 • Published • 1 -
Proact-VL: A Proactive VideoLLM for Real-Time AI Companions
Paper • 2603.03447 • Published • 37
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Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Paper • 2509.15591 • Published • 45 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 94 -
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost
Paper • 2602.03120 • Published • 1 -
TADA! Tuning Audio Diffusion Models through Activation Steering
Paper • 2602.11910 • Published • 2
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BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 107 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 80 -
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 45
-
MIBURI: Towards Expressive Interactive Gesture Synthesis
Paper • 2603.03282 • Published • 4 -
BBQ-to-Image: Numeric Bounding Box and Qolor Control in Large-Scale Text-to-Image Models
Paper • 2602.20672 • Published • 10 -
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant
Paper • 2603.01059 • Published • 1 -
Proact-VL: A Proactive VideoLLM for Real-Time AI Companions
Paper • 2603.03447 • Published • 37
-
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Paper • 2509.15591 • Published • 45 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 94 -
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost
Paper • 2602.03120 • Published • 1 -
TADA! Tuning Audio Diffusion Models through Activation Steering
Paper • 2602.11910 • Published • 2
-
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 107 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 80 -
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 45