4 papers · 1 filter
Multi-Turn Interactions for Text-to-SQL with Large Language Models
Guanming Xiong, Junwei Bao, Hongfei Jiang +2
This study explores text-to-SQL parsing by leveraging the powerful reasoning capabilities of large language models (LLMs). Despite recent advancements, existing LLM-based methods a…
GVPO: Group Variance Policy Optimization for Large Language Model Post-Training
Kaichen Zhang, Yuzhong Hong, Junwei Bao +4
Post-training plays a crucial role in refining and aligning large language models to meet specific tasks and human preferences. While recent advancements in post-training technique…
RSPO: Risk-Seeking Policy Optimization for Pass@k and Max@k Metrics in Large Language Models
Kaichen Zhang, Shenghao Gao, Yuzhong Hong +6
Current large language model post-training optimizes a risk-neutral objective that maximizes expected reward, yet evaluation relies heavily on risk-seeking metrics like Pass@k (at…
Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models
Guanming Xiong, Junwei Bao, Wen Zhao
This study explores the realm of knowledge base question answering (KBQA). KBQA is considered a challenging task, particularly in parsing intricate questions into executable logica…