collaborators

7 papers

cs.LG2026

SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating

Zequn Xie, Junjie Wang, Dan Yang +4

Deep research agents have demonstrated remarkable capabilities in complex information-seeking tasks, yet this power comes at a steep computational cost. Driven by accuracy-focused…

cs.AI2026

Agentic Retrieval-Augmented Generation for Financial Document Question Answering

Yang Shu, Yingmin Liu, Zequn Xie

Financial document question answering (QA) demands complex multi-step numerical reasoning over heterogeneous evidence--structured tables, textual narratives, and footnotes--scatter…

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.AI2026

PeopleSearchBench: Evaluating AI-Powered People Search Platforms with Criteria-Grounded Verification

Tianyu Shi, Wei Wang, Zequn Xie +10

AI-powered people search platforms are increasingly deployed for recruiting, sales prospecting, and professional networking, yet no standardized benchmark exists for their rigorous…

cs.AI2026

WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory Pruning

Junjie Wang, Zequn Xie, Dan Yang +9

Deep Research systems based on web agents have shown strong potential in solving complex information-seeking tasks, yet their search efficiency remains underexplored. We observe th…

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…