Zobrazeno 1 - 10
of 753
pro vyhledávání: '"Franz, Martin"'
Autor:
Isaza, Paulina Toro, Nidd, Michael, Zheutlin, Noah, Ahn, Jae-wook, Bhatt, Chidansh Amitkumar, Deng, Yu, Mahindru, Ruchi, Franz, Martin, Florian, Hans, Roukos, Salim
Clients wishing to implement generative AI in the domain of IT Support and AIOps face two critical issues: domain coverage and model size constraints due to model choice limitations. Clients might choose to not use larger proprietary models such as G
Externí odkaz:
http://arxiv.org/abs/2409.13707
Autor:
Saad-Falcon, Jon, Khattab, Omar, Santhanam, Keshav, Florian, Radu, Franz, Martin, Roukos, Salim, Sil, Avirup, Sultan, Md Arafat, Potts, Christopher
Many information retrieval tasks require large labeled datasets for fine-tuning. However, such datasets are often unavailable, and their utility for real-world applications can diminish quickly due to domain shifts. To address this challenge, we deve
Externí odkaz:
http://arxiv.org/abs/2303.00807
Publikováno v:
DIE ERDE: Journal of the Geographical Society of Berlin, Vol 145, Iss 3, Pp 148-157 (2014)
Traditional wholesale intermediaries in the fresh fruit and vegetable segment tend to get expendable in markets with an increasing demand for traceability and for the fulfilment of quality and hygiene standards. The demand for these specifications i
Externí odkaz:
https://doaj.org/article/88a3d5787621441698d87c87ab88dc9f
Autor:
Sil, Avirup, Sen, Jaydeep, Iyer, Bhavani, Franz, Martin, Fadnis, Kshitij, Bornea, Mihaela, Rosenthal, Sara, McCarley, Scott, Zhang, Rong, Kumar, Vishwajeet, Li, Yulong, Sultan, Md Arafat, Bhat, Riyaz, Florian, Radu, Roukos, Salim
The field of Question Answering (QA) has made remarkable progress in recent years, thanks to the advent of large pre-trained language models, newer realistic benchmark datasets with leaderboards, and novel algorithms for key components such as retrie
Externí odkaz:
http://arxiv.org/abs/2301.09715
Autor:
Santhanam, Keshav, Saad-Falcon, Jon, Franz, Martin, Khattab, Omar, Sil, Avirup, Florian, Radu, Sultan, Md Arafat, Roukos, Salim, Zaharia, Matei, Potts, Christopher
Neural information retrieval (IR) systems have progressed rapidly in recent years, in large part due to the release of publicly available benchmarking tasks. Unfortunately, some dimensions of this progress are illusory: the majority of the popular IR
Externí odkaz:
http://arxiv.org/abs/2212.01340
Autor:
Annabel Wolf, Jonathan Lloyd Baker, Rik Tjallingii, Yanjun Cai, Alexander Osinzev, Mariya Antonosyan, Noel Amano, Kathleen Rose Johnson, Vanessa Skiba, Jeremy McCormack, Ola Kwiecien, Olga Yakovlevna Chervyatsova, Yuri Viktorovich Dublyansky, Roman Saidovich Dbar, Hai Cheng, Sebastian Franz Martin Breitenbach
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-10 (2024)
Abstract The Caucasus region is key for understanding early human dispersal and evolution in Eurasia, and characterizing the environmental contrast between Last Glacial Maximum and Holocene is crucial for investigating human adaptation strategies to
Externí odkaz:
https://doaj.org/article/d47aa2769d2c41928786fc830039608f
Autor:
Franz-Martin Fink, Reinhard Höpfl, Martina Witsch-Baumgartner, Gabriele Kropshofer, Sabine Martin, Valentin Fink, Maximilian Heeg, Christina Peters, Johannes Zschocke, Oskar A. Haas
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
Severe aplastic anemia (SAA) is a life-threatening bone marrow failure syndrome whose development can be triggered by environmental, autoimmune, and/or genetic factors. The latter comprises germ line pathogenic variants in genes that bring about habi
Externí odkaz:
https://doaj.org/article/eb09a0ad8bb944ac949507e6455df9f6
We show that supervised neural information retrieval (IR) models are prone to learning sparse attention patterns over passage tokens, which can result in key phrases including named entities receiving low attention weights, eventually leading to mode
Externí odkaz:
http://arxiv.org/abs/2204.11373
We present DR.DECR (Dense Retrieval with Distillation-Enhanced Cross-Lingual Representation), a new cross-lingual information retrieval (CLIR) system trained using multi-stage knowledge distillation (KD). The teacher of DR.DECR relies on a highly eff
Externí odkaz:
http://arxiv.org/abs/2112.08185
Autor:
Lucía López-Bermudo, Bryan Moreno-Chamba, Julio Salazar-Bermeo, Nicholas J. Hayward, Amanda Morris, Gary J. Duncan, Wendy R. Russell, Antonio Cárdenas, Ángeles Ortega, Blanca Escudero-López, Genoveva Berná, Nuria Martí Bruña, Sylvia H. Duncan, Madalina Neacsu, Franz Martin
Publikováno v:
Nutrients, Vol 16, Iss 15, p 2518 (2024)
Persimmon fruit processing-derived waste and by-products, such as peels and pomace, are important sources of dietary fiber and phytochemicals. Revalorizing these by-products could help promote circular nutrition and agricultural sustainability while
Externí odkaz:
https://doaj.org/article/2c7b5fe1c610488ebb84107d6f220605