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Papers

MoE-ViE: Mixture of Experts Vision Encoder for Efficient Image and Video Understanding

Skaling: Chinchilla's Exponents Meet Kaplan's Coupling

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facebook 's papers 72

Submitted by

Niels Rogge

MoE-ViE: Mixture of Experts Vision Encoder for Efficient Image and Video Understanding

Submitted by

taesiri

Skaling: Chinchilla's Exponents Meet Kaplan's Coupling

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Junlin Han

Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes

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Pierre Chambon

Reinforcement Learning for Code Optimization

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Xilun Chen

Two-Level Meta-Rubrics for Evaluating Open-Ended Generation: GAMUT, a Benchmark for Factual Completeness

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Niels Rogge

Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity

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taesiri

TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents

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taesiri

Autodata: An agentic data scientist to create high quality synthetic data

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Vijay Viswanathan

Discretizing Reward Models

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Nicolas Beltran-Velez

The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL

2

Submitted by

Xichen Pan

RepFusion: Leveraging Multimodal Priors for Denoising in Representation Space

2

Submitted by

Jiasenlu

MobileMoE: Scaling On-Device Mixture of Experts