3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.DB2026
GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization
Tianhao Tang, Haoyang Li, Lei Chen
Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation. However, their immense number of parameters and complex tra…
cs.ET2025
Learning Towards Emergence: Paving the Way to Induce Emergence by Inhibiting Monosemantic Neurons on Pre-trained Models
Jiachuan Wang, Shimin Di, Tianhao Tang +4
Emergence, the phenomenon of a rapid performance increase once the model scale reaches a threshold, has achieved widespread attention recently. The literature has observed that mon…
cs.AI2024★ 3 cited
A Survey on Large Language Model Acceleration based on KV Cache Management
Haoyang Li, Yiming Li, Anxin Tian +7
Large Language Models (LLMs) have revolutionized a wide range of domains such as natural language processing, computer vision, and multi-modal tasks due to their ability to compreh…