Xuefei Ning

NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization

FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation

On the Ability of LLMs to Handle Character-Level Perturbations: How Well and How?

Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching

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

LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K

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

Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding

LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K

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

Towards Accurate and Efficient Sub-8-Bit Integer Training

Decouple-Then-Merge: Towards Better Training for Diffusion Models