LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
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2503.07536
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Published
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84
papers
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Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model
Paper • 2503.07703 • Published • 35 -
Gemini Embedding: Generalizable Embeddings from Gemini
Paper • 2503.07891 • Published • 36 -
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
Paper • 2503.07572 • Published • 41 -
Implicit Reasoning in Transformers is Reasoning through Shortcuts
Paper • 2503.07604 • Published • 21 -
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation
Paper • 2503.06594 • Published • 5 -
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond
Paper • 2503.21614 • Published • 39 -
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Paper • 2503.22230 • Published • 43 -
REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
Paper • 2504.10483 • Published • 20 -
Efficient Reasoning Models: A Survey
Paper • 2504.10903 • Published • 17 -
DataDecide: How to Predict Best Pretraining Data with Small Experiments
Paper • 2504.11393 • Published • 15 -
SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL
Paper • 2504.11455 • Published • 12 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 232