3 papers
cs.CL2025
SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs
Dachuan Shi, Abedelkadir Asi, Keying Li +4
Recent work shows that, beyond discrete reasoning through explicit chain-of-thought steps, which are limited by the boundaries of natural languages, large language models (LLMs) ca…
cs.CL2025
The Role of Diversity in In-Context Learning for Large Language Models
Wenyang Xiao, Haoyu Zhao, Lingxiao Huang
In-context learning (ICL) is a crucial capability of current large language models (LLMs), where the selection of examples plays a key role in performance. While most existing appr…
cs.LG2025
Interpretable Credit Default Prediction with Ensemble Learning and SHAP
Shiqi Yang, Ziyi Huang, Wengran Xiao +1
This study focuses on the problem of credit default prediction, builds a modeling framework based on machine learning, and conducts comparative experiments on a variety of mainstre…