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Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
Paper • 2401.08417 • Published • 37 -
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models
Paper • 2401.05252 • Published • 49 -
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Paper • 2402.04291 • Published • 50 -
FiT: Flexible Vision Transformer for Diffusion Model
Paper • 2402.12376 • Published • 48
Andrei Semenov
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20 days ago
Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation
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3 months ago
Apertus: Democratizing Open and Compliant LLMs for Global Language
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3 months ago
Apertus: Democratizing Open and Compliant LLMs for Global Language
Environments