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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…
cs.AI2026
Enhancing Mental Health Counseling Support in Bangladesh using Culturally-Grounded Knowledge
Md Arid Hasan, Azhagu Meena SP, Aditya Khan +6
Large language models (LLMs) show promise in generating supportive responses for mental health and counseling applications. However, their responses often lack cultural sensitivity…