Massive Activations in Hybrid Linear Attention Large Language Models: Pre-Attention Spikes and Inter-Spike Plateaus Paper • 2608.12149 • Published 10 days ago • 30
Massive Activations in Hybrid Linear Attention Large Language Models: Pre-Attention Spikes and Inter-Spike Plateaus Paper • 2608.12149 • Published 10 days ago • 30
SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining Paper • 2602.10718 • Published Apr 28
XStreamVGGT: Extremely Memory-Efficient Streaming Vision Geometry Grounded Transformer with KV Cache Compression Paper • 2601.01204 • Published Jan 3
Massive Activations in Hybrid Linear Attention Large Language Models: Pre-Attention Spikes and Inter-Spike Plateaus Paper • 2608.12149 • Published 10 days ago • 30
UniMoMo: Expert Merging-Based MoE Acceleration for Large Recommendation Models Paper • 2608.08627 • Published 13 days ago • 14
OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond Paper • 2605.19660 • Published May 19 • 40
OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond Paper • 2605.19660 • Published May 19 • 40
OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond Paper • 2605.19660 • Published May 19 • 40
Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation Paper • 2604.10098 • Published Apr 11 • 82
Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation Paper • 2604.10098 • Published Apr 11 • 82
Expert-Choice Routing Enables Adaptive Computation in Diffusion Language Models Paper • 2604.01622 • Published Apr 2 • 7
Expert-Choice Routing Enables Adaptive Computation in Diffusion Language Models Paper • 2604.01622 • Published Apr 2 • 7
Expert-Choice Routing Enables Adaptive Computation in Diffusion Language Models Paper • 2604.01622 • Published Apr 2 • 7
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models Paper • 2601.14004 • Published Jan 20 • 49
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations Paper • 2501.16383 • Published Jan 25, 2025
AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Paper • 2501.15021 • Published Jan 25, 2025
Unveiling Super Experts in Mixture-of-Experts Large Language Models Paper • 2507.23279 • Published Jul 31, 2025 • 1