2 papers
cs.CL2025
Code-Driven Inductive Synthesis: Enhancing Reasoning Abilities of Large Language Models with Sequences
Kedi Chen, Zhikai Lei, Fan Zhang +7
Large language models make remarkable progress in reasoning capabilities. Existing works focus mainly on deductive reasoning tasks (e.g., code and math), while another type of reas…
cs.CL2024
Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data
Haolong Li, Yu Ma, Yinqi Zhang +2
Large Language Models (LLMs) have shown excellent performance in language understanding, text generation, code synthesis, and many other tasks, while they still struggle in complex…