1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2025
The Self-Improvement Paradox: Can Language Models Bootstrap Reasoning Capabilities without External Scaffolding?
Yutao Sun, Mingshuai Chen, Tiancheng Zhao +3
Self-improving large language models (LLMs) -- i.e., to improve the performance of an LLM by fine-tuning it with synthetic data generated by itself -- is a promising way to advance…
cs.LO2024★ 1 cited
Parf: Adaptive Parameter Refining for Abstract Interpretation
Zhongyi Wang, Linyu Yang, Mingshuai Chen +6
The core challenge in applying abstract interpretation lies in the configuration of abstraction and analysis strategies encoded by a large number of external parameters of static a…