1 citations · 1 across the 5 of their papers we have counts for
5 papers
CompAir: Synergizing Complementary PIMs and In-Transit NoC Computation for Efficient LLM Acceleration
Hongyi Li, Songchen Ma, Huanyu Qu +5
The rapid advancement of Large Language Models (LLMs) has revolutionized various aspects of human life, yet their immense computational and energy demands pose significant challeng…
Mixture of Prompt Learning for Vision Language Models
Yu Du, Tong Niu, Rong Zhao
As powerful pre-trained vision-language models (VLMs) like CLIP gain prominence, numerous studies have attempted to combine VLMs for downstream tasks. Among these, prompt learning…
General-purpose Dataflow Model with Neuromorphic Primitives
Weihao Zhang, Yu Du, Hongyi Li +2
Neuromorphic computing exhibits great potential to provide high-performance benefits in various applications beyond neural networks. However, a general-purpose program execution mo…
Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learning
Tong Niu, Weihao Zhang, Rong Zhao
Agent-based models (ABMs) stand as an essential paradigm for proposing and validating hypothetical solutions or policies aimed at addressing challenges posed by complex systems and…
General Automatic Solution Generation of Social Problems
Tong Niu, Haoyu Huang, Yu Du +3
Given the escalating intricacy and multifaceted nature of contemporary social systems, manually generating solutions to address pertinent social issues has become a formidable task…