11 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.LG2025
LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning
Yining Huang, Bin Li, Keke Tang +1
Large-scale generative models like DeepSeek-R1 and OpenAI-O1 benefit substantially from chain-of-thought (CoT) reasoning, yet pushing their performance typically requires vast data…
cs.CL2024★ 11 cited
A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry
Yining Huang, Keke Tang, Meilian Chen +1
Since the inception of the Transformer architecture in 2017, Large Language Models (LLMs) such as GPT and BERT have evolved significantly, impacting various industries with their a…
cs.CL2024★ 7 cited
Leveraging Large Language Models for Enhanced NLP Task Performance through Knowledge Distillation and Optimized Training Strategies
Yining Huang, Keke Tang, Meilian Chen
Emerging Large Language Models (LLMs) like GPT-4 have revolutionized Natural Language Processing (NLP), showing potential in traditional tasks such as Named Entity Recognition (NER…