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MCSE: Multimodal Contrastive Learning of Sentence Embeddings.

, , , , and . NAACL-HLT, page 5959-5969. Association for Computational Linguistics, (2022)

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Graph-based Argument Quality Assessment., , , and . RANLP, page 1268-1280. INCOMA Ltd., (2021)Fusion Models for Improved Image Captioning., , , and . ICPR Workshops (6), volume 12666 of Lecture Notes in Computer Science, page 381-395. Springer, (2020)Weaker Than You Think: A Critical Look at Weakly Supervised Learning., , , , and . ACL (1), page 14229-14253. Association for Computational Linguistics, (2023)From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP., , , , and . CoRR, (2024)Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning., , , and . COLING, page 4336-4349. International Committee on Computational Linguistics, (2022)On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 2502-2516. Association for Computational Linguistics, (2020)Fusing Sentence Embeddings Into LSTM-based Autoregressive Language Models., , and . CoRR, (2022)LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders., , , , , and . CoRR, (2024)incom.py - A Toolbox for Calculating Linguistic Distances and Asymmetries between Related Languages., , , and . RANLP, page 810-818. INCOMA Ltd., (2019)A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English., , , , and . COLING, page 771-787. International Committee on Computational Linguistics, (2020)