| MegaBlocks: Efficient Sparse Training with Mixture-of-Experts | Nov 29, 2022 | GPUMixture-of-Experts | CodeCode Available | 3 | 5 |
| MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding | Apr 8, 2024 | GPUMultiple-choice | CodeCode Available | 3 | 5 |
| MagicPIG: LSH Sampling for Efficient LLM Generation | Oct 21, 2024 | CPUGPU | CodeCode Available | 3 | 5 |
| Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuray | Feb 7, 2025 | 4kGeneral Knowledge | CodeCode Available | 3 | 5 |
| EfficientQAT: Efficient Quantization-Aware Training for Large Language Models | Jul 10, 2024 | GPUQuantization | CodeCode Available | 3 | 5 |
| Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence | Feb 12, 2020 | BIG-bench Machine LearningGPU | CodeCode Available | 3 | 5 |
| ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters | May 4, 2022 | GPUImitation Learning | CodeCode Available | 3 | 5 |
| LiteGS: A High-Performance Modular Framework for Gaussian Splatting Training | Mar 3, 2025 | 3DGSGPU | CodeCode Available | 3 | 5 |
| Efficient and Generalizable Speaker Diarization via Structured Pruning of Self-Supervised Models | Jun 23, 2025 | Domain AdaptationGPU | CodeCode Available | 3 | 5 |
| LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale | Aug 10, 2024 | GPULanguage Modelling | CodeCode Available | 3 | 5 |
