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Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023


Date
déc. 6, 2023 — déc. 10, 2023
Évènement
2023 EMNLP
URL
https://2023.emnlp.org
Date de soumission
juin 23, 2023
Date d'envoi des révisions
août 22, 2023
Date de réponse aux arbitres
août 28, 2023
Date de décision finale
oct. 6, 2023
Lieu
Singapore

Publications

LLM aided semi-supervision for efficient Extractive Dialog Summarization. Nishant Mishra, Gaurav Sahu, Iacer Calixto, Ameen Abu-Hanna, Issam H. Laradji. At Conference on Empirical Methods in Natural Language Processing (EMNLP),  2023.

PDF Citation

MAGNIFICO: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations. Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau. At Conference on Empirical Methods in Natural Language Processing (EMNLP),  2023.

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PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji. At Conference on Empirical Methods in Natural Language Processing (EMNLP),  2023.

PDF Citation Code Vidéo

TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification. Nicholas Botzer, David Vazquez, Tim Weninger, Issam H. Laradji. At Conference on Empirical Methods in Natural Language Processing (EMNLP),  2023.

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