florin-hf/kilt_corpus_wiki_dump2019

{
  'chunk_id': 'doc-39_4::s-1::chunk-0',
  'doc_id': '39_4',
  'chunk_order': 0,
  'is_first': True,
  'is_last': True,
  'text': "Albedo is not directly dependent on illumination because changing the amount "
          "of incoming light proportionally changes the amount of reflected light, except "
          "in circumstances where a change in illumination induces a change in the Earth's "
          "surface at that location (e.g. through albedo-temperature feedback). That said, "
          "albedo and illumination both vary by latitude. Albedo is highest near the poles "
          "and lowest in the subtropics, with a local maximum in the tropics.",
  'title': '# Albedo\n## Examples of terrestrial albedo effects\n### Illumination',
  'wikipedia_id': '39',
  'wikipedia_title': 'Albedo',
  'section': ['Examples of terrestrial albedo effects', 'Illumination'],
  'section_order': 4,
  'num_sections': 19,
  'url': 'https://en.wikipedia.org/w/index.php?title=Albedo&oldid=906500850',
  ...
}

@inproceedings{petroni-etal-2021-kilt,
    title = "{KILT}: a Benchmark for Knowledge Intensive Language Tasks",
    author = {Petroni, Fabio  and
      Piktus, Aleksandra  and
      Fan, Angela  and
      Lewis, Patrick  and
      Yazdani, Majid  and
      De Cao, Nicola  and
      Thorne, James  and
      Jernite, Yacine  and
      Karpukhin, Vladimir  and
      Maillard, Jean  and
      Plachouras, Vassilis  and
      Rockt{\"a}schel, Tim  and
      Riedel, Sebastian},
    editor = "Toutanova, Kristina  and
      Rumshisky, Anna  and
      Zettlemoyer, Luke  and
      Hakkani-Tur, Dilek  and
      Beltagy, Iz  and
      Bethard, Steven  and
      Cotterell, Ryan  and
      Chakraborty, Tanmoy  and
      Zhou, Yichao",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.naacl-main.200/",
    doi = "10.18653/v1/2021.naacl-main.200",
    pages = "2523--2544",
    abstract = "Challenging problems such as open-domain question answering, fact checking, slot filling and entity linking require access to large, external knowledge sources. While some models do well on individual tasks, developing general models is difficult as each task might require computationally expensive indexing of custom knowledge sources, in addition to dedicated infrastructure. To catalyze research on models that condition on specific information in large textual resources, we present a benchmark for knowledge-intensive language tasks (KILT). All tasks in KILT are grounded in the same snapshot of Wikipedia, reducing engineering turnaround through the re-use of components, as well as accelerating research into task-agnostic memory architectures. We test both task-specific and general baselines, evaluating downstream performance in addition to the ability of the models to provide provenance. We find that a shared dense vector index coupled with a seq2seq model is a strong baseline, outperforming more tailor-made approaches for fact checking, open-domain question answering and dialogue, and yielding competitive results on entity linking and slot filling, by generating disambiguated text. KILT data and code are available at \url{https://github.com/facebookresearch/KILT}."
}


@misc{cuconasu2025ragsystemsreallysuffer,
      title={Do RAG Systems Really Suffer From Positional Bias?}, 
      author={Florin Cuconasu and Simone Filice and Guy Horowitz and Yoelle Maarek and Fabrizio Silvestri},
      year={2025},
      eprint={2505.15561},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2505.15561}, 
}


@misc{trappolini2025redefiningretrievalevaluationera,
      title={Redefining Retrieval Evaluation in the Era of LLMs}, 
      author={Giovanni Trappolini and Florin Cuconasu and Simone Filice and Yoelle Maarek and Fabrizio Silvestri},
      year={2025},
      eprint={2510.21440},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2510.21440}, 
}