720 citations · 810 across the 30 of their papers we have counts for
5 papers · 1 filter
Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences
Ziang Liu, Junjie Xu, Xingjiao Wu +2
Preference-Based reinforcement learning (PBRL) learns directly from the preferences of human teachers regarding agent behaviors without needing meticulously designed reward functio…
MindScope: Exploring cognitive biases in large language models through Multi-Agent Systems
Zhentao Xie, Jiabao Zhao, Yilei Wang +4
Detecting cognitive biases in large language models (LLMs) is a fascinating task that aims to probe the existing cognitive biases within these models. Current methods for detecting…
MultiColor: Image Colorization by Learning from Multiple Color Spaces
Xiangcheng Du, Zhao Zhou, Yanlong Wang +3
Deep networks have shown impressive performance in the image restoration tasks, such as image colorization. However, we find that previous approaches rely on the digital representa…
Fine-Grained Scene Image Classification with Modality-Agnostic Adapter
Yiqun Wang, Zhao Zhou, Xiangcheng Du +3
When dealing with the task of fine-grained scene image classification, most previous works lay much emphasis on global visual features when doing multi-modal feature fusion. In oth…
FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models
Yanhong Bai, Jiabao Zhao, Jinxin Shi +3
Detecting stereotypes and biases in Large Language Models (LLMs) is crucial for enhancing fairness and reducing adverse impacts on individuals or groups when these models are appli…