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Publications

Displaying results 1441 to 1450 of 3931.
  1. Tom Kocmi; Sweta Agrawal; Ekaterina Artemova; Eleftherios Avramidis; Eleftheria Briakou; Pinzhen Chen; Marzieh Fadaee; Markus Freitag; Roman Grundkiewicz; Yupeng Hou; Philipp Koehn; Julia Kreutzer; Saab Mansour; Stefano Perrella; Lorenzo Proietti; Parker Riley; Eduardo Sánchez; Patricia Schmidtova; Mariya Shmatova; Vilém Zouhar

    Findings of the WMT25 Multilingual Instruction Shared Task: Persistent Hurdles in Reasoning, Generation, and Evaluation

    In: Barry Haddow; Tom Kocmi; Philipp Koehn; Christof Monz (Hrsg.). Proceedings of the Tenth Conference on Machine Translation. Conference on Machine Translation (WMT-25), November 8-9, Suzhou, China, Pages 414-435, ISBN 979-8-89176-341-8, Association for Computational Linguistics, 11/2025.

  2. Tom Kocmi; Ekaterina Artemova; Eleftherios Avramidis; Rachel Bawden; Ondrej Bojar; Konstantin Dranch; Anton Dvorkovich; Sergey Dukanov; Mark Fishel; Markus Freitag; Thamme Gowda; Roman Grundkiewicz; Barry Haddow; Marzena Karpinska; Philipp Koehn; Howard Lakougna; Jessica Lundin; Christof Monz; Kenton Murray; Masaaki Nagata; Stefano Perrella; Lorenzo Proietti; Martin Popel; Maja Popovic; Parker Riley; Mariya Shmatova; Steinthór Steingrímsson; Lisa Yankovskaya; Vilém Zouhar

    Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets

    In: Barry Haddow; Tom Kocmi; Philipp Koehn; Christof Monz (Hrsg.). Proceedings of the Tenth Conference on Machine Translation. Conference on Machine Translation (WMT-25), November 8-9, Suzhou, China, Pages 355-413, ISBN 979-8-89176-341-8, Association for Computational Linguistics, 11/2025.

  3. Faeze Faghih; Tobias Ziegler; Zsolt István; Carsten Binnig

    SmartNICs in the Cloud: The Why, What and How of In-network Processing for Data-Intensive Applications

    In: Pablo Barceló; Nayat Sánchez-Pi; Alexandra Meliou; S. Sudarshan (Hrsg.). Companion of the 2024 International Conference on Management of Data, SIGMOD/PODS 2024, Santiago, Chile, June 9-15, 2024. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 556-560, ACM, 2024.

  4. Nadja Geisler; Carsten Binnig

    Towards Extending XAI for Full Data Science Pipelines

    In: Jean-Daniel Fekete; Behrooz Omidvar-Tehrani; Kexin Rong; Roee Shraga (Hrsg.). Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics, HILDA 24, Santiago, Chile, 14 June 2024. Workshop on Human-In-the-Loop Data Analytics (HILDA), Pages 1-7, ACM, 2024.

  5. Sven Langenecker; Christoph Sturm; Christian Schalles; Carsten Binnig

    Pythagoras: Semantic Type Detection of Numerical Data in Enterprise Data Lakes

    In: Letizia Tanca; Qiong Luo; Giuseppe Polese; Loredana Caruccio; Xavier Oriol; Donatella Firmani (Hrsg.). Proceedings 27th International Conference on Extending Database Technology, EDBT 2024, Paestum, Italy, March 25 - March 28. International Conference on Extending Database Technology (EDBT), Pages 725-733, OpenProceedings.org, 2024.

  6. Carsten Binnig; Nesime Tatbul

    International Workshop on Data Management on New Hardware (DaMoN)

    In: Pablo Barceló; Nayat Sánchez-Pi; Alexandra Meliou; S. Sudarshan (Hrsg.). Companion of the 2024 International Conference on Management of Data, SIGMOD/PODS 2024, Santiago, Chile, June 9-15, 2024. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 645-646, ACM, 2024.

  7. Jan-Micha Bodensohn; Carsten Binnig

    Rethinking Table Retrieval from Data Lakes

    In: Proceedings of the Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2024, Santiago, Chile, 14 June 2024. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), Pages 2:1-2:5, ACM, 2024.

  8. Matthias Urban; Carsten Binnig

    ELEET: Efficient Learned Query Execution over Text and Tables

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 17, No. 13, Pages 4867-4880, VLDB, 2024.

  9. Eduardo Souza dos Reis; Mohamed Abdelaal; Carsten Binnig

    Generalizable Data Cleaning of Tabular Data in Latent Space

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 17, No. 13, Pages 4786-4798, VLDP, 2024.

  10. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.14495, Pages 1-4, arXiv, 2025.