Semantic Trajectory Data Mining with LLM-Informed POI Classification

no code implementations • 20 May 2024 • Yifan Liu, Chenchen Kuai, Haoxuan Ma, Xishun Liao, Brian Yueshuai He, Jiaqi Ma

In our evaluation using the OpenStreetMap (OSM) POI dataset, our approach achieves a 93. 4% accuracy and a 96. 1% F-1 score in POI classification, and a 91. 7% accuracy with a 92. 3% F-1 score in activity inference.

RLRF:Reinforcement Learning from Reflection through Debates as Feedback for Bias Mitigation in LLMs

no code implementations • 15 Apr 2024 • Ruoxi Cheng, Haoxuan Ma, Shuirong Cao, Tianyu Shi

Biases and stereotypes in Large Language Models (LLMs) can have negative implications for user experience and societal outcomes.

Bias Detection Logical Reasoning +1

V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception

no code implementations • 24 Mar 2024 • Hao Xiang, Zhaoliang Zheng, Xin Xia, Runsheng Xu, Letian Gao, Zewei Zhou, Xu Han, Xinkai Ji, Mingxi Li, Zonglin Meng, Li Jin, Mingyue Lei, Zhaoyang Ma, Zihang He, Haoxuan Ma, Yunshuang Yuan, Yingqian Zhao, Jiaqi Ma

Recent advancements in Vehicle-to-Everything (V2X) technologies have enabled autonomous vehicles to share sensing information to see through occlusions, greatly boosting the perception capability.

Autonomous Vehicles

ICD-LM: Configuring Vision-Language In-Context Demonstrations by Language Modeling

1 code implementation • 15 Dec 2023 • Yingzhe Peng, Xu Yang, Haoxuan Ma, Shuo Xu, Chi Zhang, Yucheng Han, Hanwang Zhang

Moreover, during data construction, we use the LVLM intended for ICL implementation to validate the strength of each ICD sequence, resulting in a model-specific dataset and the ICD-LM trained by this dataset is also model-specific.

Image Captioning In-Context Learning +4