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PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Group-Based Authentication With DRAM-PUFs Using Machine Learning.

, , , , , and . IEEE Trans. Inf. Forensics Secur., (2023)

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Structured Information Matters: Incorporating Abstract Meaning Representation into LLMs for Improved Open-Domain Dialogue Evaluation., , , , and . CoRR, (2024)PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Intra-Group-based Authentication with DRAM-PUFs Using Machine Learning., , , , , and . CoRR, (2022)SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval., , , , , , , , , and 4 other author(s). CoRR, (2024)Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information., , , , , and . ACL (1), page 562-574. Association for Computational Linguistics, (2023)Effective Distillation of Table-based Reasoning Ability from LLMs., , , , and . CoRR, (2023)HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models., , , , , , and . AACL/IJCNLP (Findings), page 334-346. Association for Computational Linguistics, (2022)PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Group-Based Authentication With DRAM-PUFs Using Machine Learning., , , , , and . IEEE Trans. Inf. Forensics Secur., (2023)Improving Medical Dialogue Generation with Abstract Meaning Representations., , and . CoRR, (2023)