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Ashok, A., Williams, A. R., Marcotte, É., Zantedeschi, V., Subramanian, J., Riachi, R., Requeima, J., Lacoste, A., Rish, I., Chapados, N., & Drouin, A. (décembre 2024). Context is Key: A Benchmark for Forecasting with Essential Textual Information [Communication écrite]. NeurIPS 2024 Workshop on Time Series in the Age of Large Models, Vancouver, BC, Canada (56 pages). Lien externe
Monteiro, J., Marcotte, É., Noël, P.-A., Zantedeschi, V., Vázquez, D., Chapados, N., Pal, C. J., & Taslakian, P. (novembre 2024). XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference [Communication écrite]. Findings of the Association for Computational Linguistics (ACL 2024), Miami, FL, USA. Lien externe
