3 papers
cs.CL2025
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…
cs.CL2025
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…