2 papers
cs.LG2026
Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies
Luyu Qiu, Jianing Li, Hwanhee Kim +4
Transformer-based large language models (LLMs) continue to achieve state-of-the-art performance across various natural language processing tasks. However, their subpar performance…
cs.DB2026
Towards Reliable Agentic Progressive Text-to-Visualization with Verification Rules
Wenxin Xu, Chen Jason Zhang, Xiaoyong Wei +4
Text-to-Visualization (Text-to-Vis) translates natural language queries into visualization query languages, enabling non-expert users to perform data analysis. However, most existi…