CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling Paper • 2409.19291 • Published Sep 28 • 19
Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale Paper • 2409.17115 • Published Sep 25 • 60
Training Language Models to Self-Correct via Reinforcement Learning Paper • 2409.12917 • Published Sep 19 • 135
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs Paper • 2407.10058 • Published Jul 14 • 29
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist Paper • 2407.08733 • Published Jul 11 • 20
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning Paper • 2312.15685 • Published Dec 25, 2023 • 16
view article Article Introducing Idefics2: A Powerful 8B Vision-Language Model for the community Apr 15 • 170
Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers Paper • 2406.16747 • Published Jun 24 • 18
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Paper • 2401.02954 • Published Jan 5 • 41
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT Paper • 2307.08674 • Published Jul 17, 2023 • 48