M.S. AAI Capstone Chronicles 2024

Wightman, R. (2019). PyTorch image models [GitHub repository]. GitHub. https://doi.org/10.5281/zenodo.4414861 Doshi, K. (2021, May 11). Foundations of NLP Explained — Bleu Score and WER Metrics . Medium. https://towardsdatascience.com/foundations-of-nlp-explained-bleu-score-and-wer-metrics -1a5ba06d812b Avinash. (2024, August 7). LLM evaluation metrics — BLEU, ROGUE and METEOR explained. Medium . https://avinashselvam.medium.com/llm-evaluation-metrics-bleu-rogue-and-meteor-explai ned-a5d2b129e87f Cornia, M., Baraldi, L., Serra, G., & Cucchiara, R. (2018). Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention (No. arXiv:1706.08474; Version 4). arXiv. https://doi.org/10.48550/arXiv.1706.08474 Karpathy, A., & Fei-Fei, L. (2015). Deep Visual-Semantic Alignments for Generating Image Descriptions (No. arXiv:1412.2306; Version 2). arXiv. https://doi.org/10.48550/arXiv.1412.2306 Zhou, L., Palangi, H., Zhang, L., Hu, H., Corso, J. J., & Gao, J. (2019). Unified Vision-Language Pre-Training for Image Captioning and VQA (No. arXiv:1909.11059; Version 3). arXiv. https://doi.org/10.48550/arXiv.1909.11059 Papineni, K., Roukos, S., Ward, T., & Zhu, W.-J. (2002). BLEU: A method for automatic evaluation of machine translation. Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL) , 311–318.

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