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cs.CL2024
Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation
Xunyu Zhu, Jian Li, Can Ma +1
Large Language Models (LLMs) demonstrate exceptional reasoning capabilities, often achieving state-of-the-art performance in various tasks. However, their substantial computational…
cs.CL2024
Unifying Structured Data as Graph for Data-to-Text Pre-Training
Shujie Li, Liang Li, Ruiying Geng +8
Data-to-text (D2T) generation aims to transform structured data into natural language text. Data-to-text pre-training has proved to be powerful in enhancing D2T generation and yiel…