Koshiyama, Adriano
- Bias Amplification: Large Language Models as Increasingly Biased Media
2024/10/19 by Ze Wang, Zekun Wu, Wang, Ze +13 · 1 voice · 11 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling #cs.AI
- HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
2024/08/29 by Zekun Wu, Kalra, Rishi, Wu, Zekun +10 · 8 citations
Computer Science · Engineering · Decision Sciences · #Computational Physics and Python Applications #Energy Load and Power Forecasting #Stock Market Forecasting Methods
- Uncovering Bias in Face Generation Models
2023/02/22 by Cristian Muñoz, Sara Zannone, Muñoz, Cristian +5 · 2 citations
Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML)
- Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination
2019/01/07 by Adriano Koshiyama, Nick Firoozye, Koshiyama, Adriano +3 · 1 citation
Decision Sciences · Economics, Econometrics and Finance · #FOS: Computer and information sciences #FOS: Economics and business #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Portfolio Management (q-fin.PM) #Sports Analytics and Performance #Stock Market Forecasting Methods
- CorrSteer: Generation-Time LLM Steering via Correlated Sparse Autoencoder Features
2025/08/18 by Seonglae Cho, Cho, Seonglae, Zekun Wu +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification