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Prompting
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Prompting
Prompting with Phonemes: Enhancing LLM Multilinguality for non-Latin Script Languages
Multilingual LLMs have achieved remarkable benchmark performance, but we find they continue to underperform on non-Latin script …
Hoang Nguyen
,
Khyati Mahajan
,
Vikas Yadav
,
Philip S. Yu
,
Masoud Hashemi
,
Rishabh Maheshwary
North American Chapter of the Association for Computational Linguistics (NAACL), 2025.
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IntentGPT: Few-shot Intent Discovery with Large Language Models
In today’s digitally driven world, dialogue systems play a pivotal role in enhancing user interactions, from customer service to …
Juan A. Rodriguez
,
Nicholas Botzer
,
David Vazquez
,
Christopher Pal
,
Marco Pedersoli
,
Issam H. Laradji
Workshop at the International Conference of Learning Representation (ICLR), 2024.
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Capture the Flag: Uncovering Data Insights with Large Language Models
The extraction of a small number of relevant insights from vast amounts of data is a crucial component of data-driven decision-making. …
Issam H. Laradji
,
Perouz Taslakian
,
Sai Rajeswar Mudumba
,
Valentina Zantedeschi
,
Alexandre Lacoste
,
Nicolas Chapados
,
David Vazquez
,
Christopher Pal
,
Alexandre Drouin
Workshop at the Neural Information Processing Systems (NeurIPS), 2023.
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The Power of Prompt Tuning for Low-Resource Semantic Parsing
Prompt tuning has recently emerged as an effective method for adapting pre-trained language models to a number of language tasks. In …
Nathan Schucher
,
Siva Reddy
,
Harm de Vries
Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
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