2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Meta-Moderator: Empowering Multi-Agent Debate with Meta-Cognition
Wentao Hu, Zhuoyue Wan, Jinhao Shen +3
Multi-agent debate can improve large language model reasoning by eliciting diverse hypotheses and critiques, yet its performance is often constrained by weak moderation. Common pip…
SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models
Shuaimin Li, Liyang Fan, Zeyang Li +9
Evaluating code large language models (Code LLMs) requires reliable detection of data leakage, where benchmark performance is artificially inflated by exposure to benchmark data du…
OsmT: Bridging OpenStreetMap Queries and Natural Language with Open-source Tag-aware Language Models
Zhuoyue Wan, Wentao Hu, Chen Jason Zhang +5
Bridging natural language and structured query languages is a long-standing challenge in the database community. While recent advances in language models have shown promise in this…
DataVisT5: A Pre-trained Language Model for Jointly Understanding Text and Data Visualization
Zhuoyue Wan, Yuanfeng Song, Shuaimin Li +2
Data visualization (DV) is the fundamental and premise tool to improve the efficiency in conveying the insights behind the big data, which has been widely accepted in existing data…