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On the Linguistic Representational Power of Neural Machine Translation Models.

, , , , and . Comput. Linguistics, 46 (1): 1-52 (2020)

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Sign Language Recognition Using Temporal Classification., , and . CoRR, (2017)LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking., , , , , , , , , and . EACL (Demonstrations), page 214-222. Association for Computational Linguistics, (2024)Scaling up Discovery of Latent Concepts in Deep NLP Models., , and . EACL (1), page 793-806. Association for Computational Linguistics, (2024)On the Linguistic Representational Power of Neural Machine Translation Models., , , , and . Comput. Linguistics, 46 (1): 1-52 (2020)Qlusty: Quick and Dirty Generation of Event Videos from Written Media Coverage., , , , and . NewsIR@ECIR, volume 2079 of CEUR Workshop Proceedings, page 27-32. CEUR-WS.org, (2018)Analyzing Individual Neurons in Pre-trained Language Models., , , and . EMNLP (1), page 4865-4880. Association for Computational Linguistics, (2020)Neuron-level Interpretation of Deep NLP Models: A Survey., , and . Trans. Assoc. Comput. Linguistics, (2022)Linguistic Correlation Analysis: Discovering Salient Neurons in deepNLP models., , and . CoRR, (2022)On the effect of dropping layers of pre-trained transformer models., , , and . Comput. Speech Lang., (2023)Benchmarking Arabic AI with Large Language Models., , , , , , , , , and 6 other author(s). CoRR, (2023)