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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…
cs.CL2021
MRCBert: A Machine Reading ComprehensionApproach for Unsupervised Summarization
Saurabh Jain, Guokai Tang, Lim Sze Chi
When making an online purchase, it becomes important for the customer to read the product reviews carefully and make a decision based on that. However, reviews can be lengthy, may…