3 papers
cs.CL2026
Mitigating Hallucination on Hallucination in RAG via Ensemble Voting
Zequn Xie, Zhengyang Sun
Retrieval-Augmented Generation (RAG) aims to reduce hallucinations in Large Language Models (LLMs) by integrating external knowledge. However, RAG introduces a critical challenge:…
cs.CV2026
CONQUER: Context-Aware Representation with Query Enhancement for Text-Based Person Search
Zequn Xie
Text-Based Person Search (TBPS) aims to retrieve pedestrian images from large galleries using natural language descriptions. This task, essential for public safety applications, is…
cs.CV2025
Dynamic Uncertainty Learning with Noisy Correspondence for Text-Based Person Search
Zequn Xie, Haoming Ji, Chengxuan Li +1
Text-to-image person search aims to identify an individual based on a text description. To reduce data collection costs, large-scale text-image datasets are created from co-occurre…