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Xinzhou Jin

2 accepted papers

2024

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm

ACL 2024findings

In-context learning of large-language models (LLMs) has achieved remarkable success in the field of natural language processing, while extensive case studies reveal that the single-step chain-of-thought prompting approach faces challenges such as attention diffusion and inadequate performance in com…

2024

State Space Models on Temporal Graphs: A First-Principles Study

NeurIPS 2024poster

Over the past few years, research on deep graph learning has shifted from static graphs to temporal graphs in response to real-world complex systems that exhibit dynamic behaviors. In practice, temporal graphs are formalized as an ordered sequence of static graph snapshots observed at discrete time…