6 papers
Slang Context-based Inference Enhancement via Greedy Search-Guided Chain-of-Thought Prompting
Jinghan Cao, Qingyang Ren, Xiangyun Chen +3
Slang interpretation has been a challenging downstream task for Large Language Models (LLMs) as the expressions are inherently embedded in contextual, cultural, and linguistic fram…
SVAC: Scaling Is All You Need For Referring Video Object Segmentation
Li Zhang, Haoxiang Gao, Zhihao Zhang +2
Referring Video Object Segmentation (RVOS) aims to segment target objects in video sequences based on natural language descriptions. While recent advances in Multi-modal Large Lang…
Utilizing Large Language Models for Information Extraction from Real Estate Transactions
Yu Zhao, Haoxiang Gao, Jinghan Cao +1
Real estate sales contracts contain crucial information for property transactions, but manual data extraction can be time-consuming and error-prone. This paper explores the applica…
AdaptFlow: Adaptive Workflow Optimization via Meta-Learning
Runchuan Zhu, Bowen Jiang, Lingrui Mei +8
Recent advances in large language models (LLMs) have sparked growing interest in agentic workflows, which are structured sequences of LLM invocations intended to solve complex task…
Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving
Haoxiang Gao, Li Zhang, Yu Zhao +2
Vision-language models (VLMs) have become a promising approach to enhancing perception and decision-making in autonomous driving. The gap remains in applying VLMs to understand com…
A Survey for Foundation Models in Autonomous Driving
Haoxiang Gao, Zhongruo Wang, Yaqian Li +3
The advent of foundation models has revolutionized the fields of natural language processing and computer vision, paving the way for their application in autonomous driving (AD). T…