MoE-Inference-Bench: Performance Evaluation of Mixture of Expert Large Language and Vision Models Paper • 2508.17467 • Published Aug 24, 2025
PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference Paper • 2509.04377 • Published Sep 4, 2025 • 1
LExI: Layer-Adaptive Active Experts for Efficient MoE Model Inference Paper • 2509.02753 • Published Sep 2, 2025
ImageNet-Think-250K: A Large-Scale Synthetic Dataset for Multimodal Reasoning for Vision Language Models Paper • 2510.01582 • Published Oct 2, 2025
Swift: An Autoregressive Consistency Model for Efficient Weather Forecasting Paper • 2509.25631 • Published Sep 30, 2025 • 3
AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions Paper • 2509.13523 • Published Sep 16, 2025 • 7
LSHBloom: Memory-efficient, Extreme-scale Document Deduplication Paper • 2411.04257 • Published Nov 6, 2024
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets Paper • 2403.15953 • Published Mar 23, 2024
Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry Paper • 2411.15221 • Published Nov 20, 2024 • 30
Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation Paper • 2304.05430 • Published Apr 11, 2023
A Survey of Techniques for Optimizing Transformer Inference Paper • 2307.07982 • Published Jul 16, 2023
CIDAR: Culturally Relevant Instruction Dataset For Arabic Paper • 2402.03177 • Published Feb 5, 2024 • 8
A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators Paper • 2310.04607 • Published Oct 6, 2023