🚀 Thrilled to share that our lab has THREE papers accepted at #NeurIPS2025 on AI efficiency from reasoning to video generation. Come hang out with us， it's going to be a lot of fun this year here local to UCSD！ 😎

📊 Efficiently Scaling LLM Reasoning with Certaindex Introduces Certaindex， an algorithm-agnostic metric measuring evolving stability that signals when further computation won't change results， plus Dynasor serving system achieving up to 50% compute savings and 3.3x higher efficiency 📎 https://arxiv.org/abs/2412.20993 @FuYichao123 @Junda_Chen_

⚡ Scaling Speculative Decoding with Lookahead Reasoning Exploits step-level parallelism to overcome token-level speculative decoding limitations， boosting speedup from 1.4x to 2.1x on GSM8K 📎 https://arxiv.org/abs/2506.19830 @FuYichao123

🎥 VSA： Faster Video Diffusion with Trainable Sparse Attention is a hardware-efficient sparse attention for video DiTs that cuts training FLOPS by 2.53× with zero loss in diffusion quality 📎 https://arxiv.org/abs/2505.13389 @PY_Z001 @BrianChen112900