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cs.CL2024
Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection
Xingyu Ma, Xin Tian, Lingxiang Wu +3
Text-to-SQL is a subtask in semantic parsing that has seen rapid progress with the evolution of Large Language Models (LLMs). However, LLMs face challenges due to hallucination iss…
cs.CL2024
Recurrent Context Compression: Efficiently Expanding the Context Window of LLM
Chensen Huang, Guibo Zhu, Xuepeng Wang +5
To extend the context length of Transformer-based large language models (LLMs) and improve comprehension capabilities, we often face limitations due to computational resources and…
cs.CL2024
Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns
Yufeng Zhang, Xuepeng Wang, Lingxiang Wu +1
Chain of Thought (CoT) prompting can encourage language models to engage in multi-step logical reasoning. The quality of the provided demonstrations significantly influences the su…