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cs.CL2025
Characterizing Model Behavior Under Synthetic Data Training: An Empirical Study Across Scales and Mixing Ratios
Y. Du, G. Wu, G. Tang +2
Synthetic data generated by large language models has become integral to modern NLP training pipelines, from bootstrapping reasoning capabilities to augmenting instruction-followin…
cs.CL2025
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow
Y. Du, C. Guo, W. Wang +1
Large Language Models (LLMs) face a fundamental challenge in deciding when to rely on rapid, intuitive responses versus engaging in slower, more deliberate reasoning. Inspired by D…