1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Poor-Supervised Evaluation for SuperLLM via Mutual Consistency
Peiwen Yuan, Shaoxiong Feng, Yiwei Li +5
The guidance from capability evaluations has greatly propelled the progress of both human society and Artificial Intelligence. However, as LLMs evolve, it becomes challenging to co…
cs.CL2024★ 1 cited
PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference
Dongjie Yang, XiaoDong Han, Yan Gao +3
Large Language Models (LLMs) have shown remarkable comprehension abilities but face challenges in GPU memory usage during inference, hindering their scalability for real-time appli…