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Data and model bias in artificial intelligence for healthcare applications in New Zealand., , , , , , , and . Frontiers Comput. Sci., (2022)Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking., , , , , , , and . EACL, page 2644-2656. Association for Computational Linguistics, (2023)AbductionRules: Training Transformers to Explain Unexpected Inputs., , , and . ACL (Findings), page 218-227. Association for Computational Linguistics, (2022)Neuromodulation Gated Transformer., , , , , , and . CoRR, (2023)Relating Blindsight and AI: A Review., , , , and . CoRR, (2022)Input-length-shortening and text generation via attention values., , , , , , and . CoRR, (2023)Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?, , , and . CoRR, (2023)Challenges in Annotating Datasets to Quantify Bias in Under-represented Society., , , , and . ETHAICS@IJCAI, volume 3547 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Neuromodulation Gated Transformer., , , , , , and . Tiny Papers @ ICLR, OpenReview.net, (2023)From What You See to What We Smell: Linking Human Emotions to Bio-Markers in Breath., , , , , and . IEEE Trans. Affect. Comput., 15 (2): 465-477 (April 2024)