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Found 5 papers, 1 papers with code
Kanana: Compute-efficient Bilingual Language Models
We introduce Kanana, a series of bilingual language models that demonstrate exceeding performance in Korean and competitive performance in English.
FunctionChat-Bench: Comprehensive Evaluation of Language Models' Generative Capabilities in Korean Tool-use Dialogs
This study investigates language models' generative capabilities in tool-use dialogs.
Auxiliary Sequence Labeling Tasks for Disfluency Detection
Existing works for disfluency detection have focused on designing a single objective only for disfluency detection, while auxiliary objectives utilizing linguistic information of a word such as named entity or part-of-speech information can be effective.
Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization
In this paper, we propose evaluation metrics that reflect semantic meanings of a reference summary and the original document, Reference and Document Aware Semantic Score (RDASS).
SYSTRAN's Pure Neural Machine Translation Systems
Since the first online demonstration of Neural Machine Translation (NMT) by LISA, NMT development has recently moved from laboratory to production systems as demonstrated by several entities announcing roll-out of NMT engines to replace their existing technologies.
