Papers by Ivan Yamshchikov

2 papers
BERT in Plutarch’s Shadows (2022.emnlp-main)

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Challenge: Existing methods to estimate authorship of texts rely on statistical patterns like word or sentence length to distinguish between different authors.
Approach: They propose to use a BERT language model to identify authorship in ancient Greek texts . they find that the Placita Philosophorum and other works are similar to those written by Alexandrian authors .
Outcome: The proposed model can shed new light on the authorship question in ancient Greek and shows similarities with the works written by authors from Alexandrian contexts.
BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training (2024.emnlp-main)

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Challenge: Tokenization is a relatively understudied area, but it can greatly impact model performance and efficiency.
Approach: They propose a modified BPE tokenizer that removes merges that leave intermediate "junk" tokens from the vocabulary.
Outcome: The proposed method improves vocabulary efficiency, eliminates under-trained tokens, and does not compromise text compression.

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