1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2026
Rebalancing Token Importance in Language Models with TF-IDF Weighted Cross-Entropy Loss
Zhijian Li, Stefan Larson, Kevin Leach
Large language models are typically trained under uniform token weighting, which allows frequent and low-information tokens to dominate learning and can increase the tendency to me…
cs.CL2024
Document Classification using File Names
Zhijian Li, Stefan Larson, Kevin Leach
Rapid document classification is critical in several time-sensitive applications like digital forensics and large-scale media classification. Traditional approaches that rely on he…
cs.CL2024★ 1 cited
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification
Zhijian Li, Stefan Larson, Kevin Leach
Intent classifiers must be able to distinguish when a user's utterance does not belong to any supported intent to avoid producing incorrect and unrelated system responses. Although…