Xing Chen

Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward

2025 · arXiv (Cornell University)

Reinforcement learning (RL) has been widely adopted to enhance the performance of large language models (LLMs) on Text-to-SQL tasks. However, existing methods often rely on execution-based or LLM-based Bradley-Terry reward models. The former suffers from …

Hierarchical Recurrent Attention Network for Response Generation

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

We study multi-turn response generation in chatbots where a response is generated according to a conversation context. Existing work has modeled the hierarchy of the context, but does not pay enough attention to the fact …

Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots

2017

We study response selection for multiturn conversation in retrieval-based chatbots. Existing work either concatenates utterances in context or matches a response with a highly abstract context vector finally, which may lose relationships among utterances or …