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cs.CL2026
Typological Feature Prediction with Large Language Models: An In-Context Learning Approach
Qianwen Wang, York Hay Ng, Aditya Khan +1
Typological features are widely used in multilingual NLP, and the prediction of such features holds downstream utility. However, existing methods to predict missing values lack int…
cs.CL2026
Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation
Luke Zhang, Justin Vasselli, Aditya Khan +2
We propose Dynamic Meta-Metrics (DMM), a framework for machine translation evaluation that learns source-sentence conditioned combinations of existing metrics. Rather than relying…