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: "How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models" – A study comparing pretrained multilingual models against monolingual ones.

: Uses social science-inspired evaluation methods to track bias propagation across language style and lexical content. Resources : Read the Full Paper (PDF) Watch the Presentation (243.mp4) (Direct Video Link) Other Related Papers (Index 243) 243 mp4

: "Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location Recognition" – A 2022 paper introducing a new dataset for improved location identification in text. : "How Good is Your Tokenizer

: Critically examines gender biases in reference letters generated by LLMs like GPT. 243 mp4

243 mp4

WARNING: These products can potentially expose you to chemicals including Nickel, Chromium, Lead, Cobalt, Mercury and Beryllium, which are known to the state of California to cause cancer and/or birth defects or other reproductive harm. For more information, visit www.P65Warnings.ca.gov.

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