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PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
Paper • 2410.13861 • Published • 57 -
JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation
Paper • 2411.07975 • Published • 31 -
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Paper • 2411.10442 • Published • 84 -
Multimodal Autoregressive Pre-training of Large Vision Encoders
Paper • 2411.14402 • Published • 47
hongbin
L-Hongbin
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Optimizing Large Language Models through Quantization: A Comparative
Analysis of PTQ and QAT Techniques
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DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large
Language Models
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