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Do Evaluation Metrics Detect Errors in Classical Chinese to English Translations?
Osvaldo Quinjica, Eric Bennett, Xinchen Yang +2
Although large language models can translate some historical languages surprisingly well, their usefulness in digital humanities workflows is limited by the lack of reliable evalua…
Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style
Connor Baumler, Calvin Bao, Huy Nghiem +3
Despite the growing use of large language models (LLMs) for writing tasks, users may hesitate to rely on LLMs when personal style is important. Post-editing LLM-generated drafts or…
Steering Large Language Models with Register Analysis for Arbitrary Style Transfer
Xinchen Yang, Marine Carpuat
Large Language Models (LLMs) have demonstrated strong capabilities in rewriting text across various styles. However, effectively leveraging this ability for example-based arbitrary…
Token-level Ensembling of Models with Different Vocabularies
Rachel Wicks, Kartik Ravisankar, Xinchen Yang +2
Model ensembling is a technique to combine the predicted distributions of two or more models, often leading to improved robustness and performance. For ensembling in text generatio…