1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment
Janghwan Lee, Seongmin Park, Sukjin Hong +3
The rapid advancement of large language models (LLMs) has facilitated their transformation into conversational chatbots that can grasp contextual nuances and generate pertinent sen…
cs.LG2023★ 1 cited
SHAPNN: Shapley Value Regularized Tabular Neural Network
Qisen Cheng, Shuhui Qu, Janghwan Lee
We present SHAPNN, a novel deep tabular data modeling architecture designed for supervised learning. Our approach leverages Shapley values, a well-established technique for explain…