pecore_citation = """@inproceedings{sarti-etal-2023-quantifying,
    title = "Quantifying the Plausibility of Context Reliance in Neural Machine Translation",
    author = "Sarti, Gabriele and
        Chrupa{\l}a, Grzegorz and
        Nissim, Malvina and
        Bisazza, Arianna",
    booktitle = "The Twelfth International Conference on Learning Representations (ICLR 2024)",
    month = may,
    year = "2024",
    address = "Vienna, Austria",
    publisher = "OpenReview",
    url = "https://openreview.net/forum?id=XTHfNGI3zT"
}"""

inseq_citation = """@inproceedings{sarti-etal-2023-inseq,
    title = "Inseq: An Interpretability Toolkit for Sequence Generation Models",
    author = "Sarti, Gabriele  and
        Feldhus, Nils  and
        Sickert, Ludwig  and
        van der Wal, Oskar and
        Nissim, Malvina and
        Bisazza, Arianna",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-demo.40",
    pages = "421--435",
}"""

inseq_xai_citation = """@inproceedings{sarti-etal-2024-democratizing,
    title = "Democratizing Advanced Attribution Analyses of Generative Language Models with the Inseq Toolkit",
    author = "Sarti, Gabriele  and
        Feldhus, Nils  and
        Qi, Jirui  and
        Nissim, Malvina and
        Bisazza, Arianna",
    booktitle = "xAI-2024 Late-breaking Work, Demos and Doctoral Consortium Joint Proceedings",
    month = jul,
    year = "2024",
    address = "Valletta, Malta",
    publisher = "CEUR.org",
    url = "https://ceur-ws.org/Vol-3793/paper_37.pdf",
    pages = "289--296",
}"""

mirage_citation = """@article{qi-sarti-etal-2024-mirage,
    title = "Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation",
    author = "Qi, Jirui and Sarti, Gabriele and Fern{\'a}ndez, Raquel and Bisazza, Arianna",
    journal = "ArXiv",
    month = jun,
    year = "2024",
    volume = {abs/2406.13663},
    url = {https://arxiv.org/abs/2406.13663},
}"""

lxt_citation = """@inproceedings{achtibat-etal-2024-attnlrp,
  title = {{A}ttn{LRP}: Attention-Aware Layer-Wise Relevance Propagation for Transformers},
  author = {Achtibat, Reduan and Hatefi, Sayed Mohammad Vakilzadeh and Dreyer, Maximilian and Jain, Aakriti and Wiegand, Thomas and Lapuschkin, Sebastian and Samek, Wojciech},
  booktitle = {Proceedings of the 41st International Conference on Machine Learning},
  pages = {135--168},
  year = {2024},
  editor = {Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix},
  volume = {235},
  series = {Proceedings of Machine Learning Research},
  month = {21--27 Jul},
  publisher = {PMLR}
}"""