Zobrazeno 1 - 10
of 2 350
pro vyhledávání: '"Pérez Is, Laura"'
Synthetically created Cross-Lingual Summarisation (CLS) datasets are prone to include document-summary pairs where the reference summary is unfaithful to the corresponding document as it contains content not supported by the document (i.e., hallucina
Externí odkaz:
http://arxiv.org/abs/2408.00675
Autor:
Hong, Giwon, Gema, Aryo Pradipta, Saxena, Rohit, Du, Xiaotang, Nie, Ping, Zhao, Yu, Perez-Beltrachini, Laura, Ryabinin, Max, He, Xuanli, Fourrier, Clémentine, Minervini, Pasquale
Large Language Models (LLMs) have transformed the Natural Language Processing (NLP) landscape with their remarkable ability to understand and generate human-like text. However, these models are prone to ``hallucinations'' -- outputs that do not align
Externí odkaz:
http://arxiv.org/abs/2404.05904
We study existing approaches to leverage off-the-shelf Natural Language Inference (NLI) models for the evaluation of summary faithfulness and argue that these are sub-optimal due to the granularity level considered for premises and hypotheses. That i
Externí odkaz:
http://arxiv.org/abs/2402.17630
Autor:
Álvarez-Garrote, Rodrigo, Calvo, Enrique, Canto, Aritz, Crespo-Anadón, José Ignacio, Cuesta, Clara, Rojo, Andrés de la Torre, Gil-Botella, Inés, Corchado, Sergio Manthey, Martín, Iván, Palomares, Carmen, Pérez-Molina, Laura, de Osa, Antonio Verdugo
Liquid argon time projection chambers (TPC) are widely used in neutrino oscillation and dark matter experiments. Detection of scintillation light in liquid argon TPC's is challenging because of its short wavelength, in the VUV range, and the cryogeni
Externí odkaz:
http://arxiv.org/abs/2402.01584
Autor:
Pérez-Garcéa, Laura, Selin, Martin, Ciarlo, Antonio, Magazzu, Alessandro, Pesce, Giuseppe, Sasso, Antonio, Volpe, Giovanni, Castillo, Isaac Pérez, Arzola, Alejandro V.
Optical tweezers (OT) have become an essential technique in several fields of physics, chemistry, and biology as precise micromanipulation tools and microscopic force transducers. Quantitative measurements require the accurate calibration of the trap
Externí odkaz:
http://arxiv.org/abs/2305.07245
In this work we study user controlled table-to-text generation where users explore the content in a table by selecting cells and reading a natural language description thereof automatically produce by a natural language generator. Such generation mod
Externí odkaz:
http://arxiv.org/abs/2302.09820
In this paper, we are interested in developing semantic parsers which understand natural language questions embedded in a conversation with a user and ground them to formal queries over definitions in a general purpose knowledge graph (KG) with very
Externí odkaz:
http://arxiv.org/abs/2301.12217
Autor:
Pérez-Guàrdia, Laura1 (AUTHOR), Lafabrie, Emma1 (AUTHOR), Diedhiou, Nadège1 (AUTHOR), Spiegelhalter, Coralie1 (AUTHOR), Laporte, Jocelyn1 (AUTHOR), Böhm, Johann1 (AUTHOR) johann@igbmc.fr
Publikováno v:
Cells (2073-4409). Nov2024, Vol. 13 Issue 22, p1829. 14p.
Autor:
Gehrmann, Sebastian, Bhattacharjee, Abhik, Mahendiran, Abinaya, Wang, Alex, Papangelis, Alexandros, Madaan, Aman, McMillan-Major, Angelina, Shvets, Anna, Upadhyay, Ashish, Yao, Bingsheng, Wilie, Bryan, Bhagavatula, Chandra, You, Chaobin, Thomson, Craig, Garbacea, Cristina, Wang, Dakuo, Deutsch, Daniel, Xiong, Deyi, Jin, Di, Gkatzia, Dimitra, Radev, Dragomir, Clark, Elizabeth, Durmus, Esin, Ladhak, Faisal, Ginter, Filip, Winata, Genta Indra, Strobelt, Hendrik, Hayashi, Hiroaki, Novikova, Jekaterina, Kanerva, Jenna, Chim, Jenny, Zhou, Jiawei, Clive, Jordan, Maynez, Joshua, Sedoc, João, Juraska, Juraj, Dhole, Kaustubh, Chandu, Khyathi Raghavi, Perez-Beltrachini, Laura, Ribeiro, Leonardo F. R., Tunstall, Lewis, Zhang, Li, Pushkarna, Mahima, Creutz, Mathias, White, Michael, Kale, Mihir Sanjay, Eddine, Moussa Kamal, Daheim, Nico, Subramani, Nishant, Dusek, Ondrej, Liang, Paul Pu, Ammanamanchi, Pawan Sasanka, Zhu, Qi, Puduppully, Ratish, Kriz, Reno, Shahriyar, Rifat, Cardenas, Ronald, Mahamood, Saad, Osei, Salomey, Cahyawijaya, Samuel, Štajner, Sanja, Montella, Sebastien, Shailza, Jolly, Shailza, Mille, Simon, Hasan, Tahmid, Shen, Tianhao, Adewumi, Tosin, Raunak, Vikas, Raheja, Vipul, Nikolaev, Vitaly, Tsai, Vivian, Jernite, Yacine, Xu, Ying, Sang, Yisi, Liu, Yixin, Hou, Yufang
Evaluation in machine learning is usually informed by past choices, for example which datasets or metrics to use. This standardization enables the comparison on equal footing using leaderboards, but the evaluation choices become sub-optimal as better
Externí odkaz:
http://arxiv.org/abs/2206.11249
Autor:
Rodríguez-Alegre, Rubén, Pérez Megías, Laura, Pérez-Moya, Montserrat, García-Montaño, Julia, Andecochea Saiz, Carlos, You, Xialei
Publikováno v:
In Journal of Environmental Chemical Engineering December 2024 12(6)