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Prompting with Phonemes: Enhancing LLM Multilinguality for non-Latin Script Languages
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
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
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
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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