YamamotoHaruki

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upvoted a paper 3 days ago

SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models

Paper • 2503.07605 • Published 4 days ago • 63

upvoted 8 papers 10 days ago

Show, Don't Tell: Aligning Language Models with Demonstrated Feedback

Paper • 2406.00888 • Published Jun 2, 2024 • 33

Learning Temporally Consistent Video Depth from Video Diffusion Priors

Paper • 2406.01493 • Published Jun 3, 2024 • 21

Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling

Paper • 2405.21048 • Published May 31, 2024 • 16

4Diffusion: Multi-view Video Diffusion Model for 4D Generation

Paper • 2405.20674 • Published May 31, 2024 • 15

4-bit Shampoo for Memory-Efficient Network Training

Paper • 2405.18144 • Published May 28, 2024 • 11

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Paper • 2405.21075 • Published May 31, 2024 • 24

Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Paper • 2405.20541 • Published May 30, 2024 • 24

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31, 2024 • 66