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Zixiang Wang

2 accepted papers

2025

MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks

NeurIPS 2025poster

The rapid advancement of Large Language Models (LLMs) has stimulated interest in multi-agent collaboration for addressing complex medical tasks. However, the practical advantages of multi-agent collaboration approaches remain insufficiently understood. Existing evaluations often lack generalizabilit…

Cited by 0SourcecodeScholar
2023

Low Resource Quantitative Information Extraction via Structure Searching and Prefix-Based Text Generation

AAAI 2023technical

Quantitative information plays an important part in the financial and data analysis areas. Prior work relied on pattern-matching methods and complex hand-crafted rules to extract quantitative information due to the lack of labeled data. Such methods can be unstable and difficult to scale to the open…