mirage / citations.py
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Update citations.py
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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}
}"""