1 citations · 1 across the 5 of their papers we have counts for
5 papers
Fine-Tuned LLM as a Complementary Predictor Improving Ads System
Hui Yang, Daiwei He, Kevin Jiang +20
Recommendation systems power engagement and monetization across feeds, ads, and short-video platforms, but translating the latest advances in Large Language Models into Recommendat…
Fair Classification by Direct Intervention on Operating Characteristics
Kevin Jiang, Edgar Dobriban
We develop new classifiers under group fairness in the attribute-aware setting for binary classification with multiple group fairness constraints (e.g., demographic parity (DP), eq…
A Domain Adaptation Framework for Speech Recognition Systems with Only Synthetic data
Minh Tran, Yutong Pang, Debjyoti Paul +7
We introduce DAS (Domain Adaptation with Synthetic data), a novel domain adaptation framework for pre-trained ASR model, designed to efficiently adapt to various language-defined d…
LLaMA based Punctuation Restoration With Forward Pass Only Decoding
Yutong Pang, Debjyoti Paul, Kevin Jiang +2
This paper introduces two advancements in the field of Large Language Model Annotation with a focus on punctuation restoration tasks. Our first contribution is the application of L…
RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews
Satpreet Harcharan Singh, Kevin Jiang, Kanchan Bhasin +3
Semi-structured interviews (SSIs) are a commonly employed data-collection method in healthcare research, offering in-depth qualitative insights into subject experiences. Despite th…