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The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models., , , , , and . EACL (Findings), page 868-874. Association for Computational Linguistics, (2024)Darker than Black-Box: Face Reconstruction from Similarity Queries., , , and . CoRR, (2021)MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering., , , , and . ACL (student), page 355-365. Association for Computational Linguistics, (2022)Answer Candidate Type Selection: Text-To-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs., , , , , and . KONVENS, page 155-164. Association for Computational Lingustics, (2023)The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models., , , , , and . CoRR, (2023)Black-Box Face Recovery from Identity Features., , , , and . ECCV Workshops (5), volume 12539 of Lecture Notes in Computer Science, page 462-475. Springer, (2020)Your Transformer is Secretly Linear., , , , , , and . ACL (1), page 5376-5384. Association for Computational Linguistics, (2024)Ranking Approach to Monolingual Question Answering over Knowledge Graphs., , , , and . NLIWoD@ESWC, volume 3196 of CEUR Workshop Proceedings, page 32-37. CEUR-WS.org, (2022)SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task., , and . SemEval@ACL/IJCNLP, page 157-162. Association for Computational Linguistics, (2021)OmniFusion Technical Report., , , , , , , , and . CoRR, (2024)