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cs.CL2026
TA-RAG: Tone Awareness as a Design Imperative for Retrieval-Augmented Generation
Yong-Bin Kang, Anthony McCosker
Retrieval-Augmented Generation (RAG) has become a robust architecture for grounding large language models (LLMs) in trusted knowledge. However, standard RAG systems exhibit a struc…
cs.CL2026
TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication
Yong-Bin Kang, Anthony McCosker
Retrieval-augmented generation (RAG) successfully grounds large language model (LLM) outputs in trusted documents, but factual grounding alone is insufficient for sensitive peer-su…
cs.CL2025
Missing the human touch? A computational stylometry analysis of GPT-4 translations of online Chinese literature
Xiaofang Yao, Yong-Bin Kang, Anthony McCosker
Existing research indicates that machine translations (MTs) of literary texts are often unsatisfactory. MTs are typically evaluated using automated metrics and subjective human rat…