2 papers
cs.CL2024
Teaching Language Models to Self-Improve by Learning from Language Feedback
Chi Hu, Yimin Hu, Hang Cao +2
Aligning Large Language Models (LLMs) with human intentions and values is crucial yet challenging. Current methods primarily rely on human preferences, which are costly and insuffi…
cs.DC2022
IAAT: A Input-Aware Adaptive Tuning framework for Small GEMM
Jianyu Yao, Boqian Shi, Chunyang Xiang +4
GEMM with the small size of input matrices is becoming widely used in many fields like HPC and machine learning. Although many famous BLAS libraries already supported small GEMM, t…