3 papers
cs.CL2026
A Survey of Inductive Reasoning for Large Language Models
Kedi Chen, Dezhao Ruan, Yuhao Dan +12
Reasoning is an important task for large language models (LLMs). Among all the reasoning paradigms, inductive reasoning is one of the fundamental types, which is characterized by i…
cs.SE2025
Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
Mengliang He, Jiayi Zeng, Yankai Jiang +4
While large language models (LLMs) show promise in code generation, existing benchmarks neglect the flowchart-based code generation. To promote further research on flowchart-based…
cs.CL2025
Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
Jiayi Zeng, Yizhe Feng, Mengliang He +5
Large language models (LLMs) have demonstrated significant advancements in error handling. Current error-handling works are performed in a passive manner, with explicit error-handl…