Huazhong Yang

Translate Policy to Language: Flow Matching Generated Rewards for LLM Explanations

Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs

R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing

Mixture of Attention Spans: Optimizing LLM Inference Efficiency with Heterogeneous Sliding-Window Lengths

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression

Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs