Zobrazeno 1 - 10
of 5 147
pro vyhledávání: '"A Fauconnier"'
Autor:
Amirloo, Elmira, Fauconnier, Jean-Philippe, Roesmann, Christoph, Kerl, Christian, Boney, Rinu, Qian, Yusu, Wang, Zirui, Dehghan, Afshin, Yang, Yinfei, Gan, Zhe, Grasch, Peter
Preference alignment has become a crucial component in enhancing the performance of Large Language Models (LLMs), yet its impact in Multimodal Large Language Models (MLLMs) remains comparatively underexplored. Similar to language models, MLLMs for im
Externí odkaz:
http://arxiv.org/abs/2407.02477
We introduce MIA-Bench, a new benchmark designed to evaluate multimodal large language models (MLLMs) on their ability to strictly adhere to complex instructions. Our benchmark comprises a diverse set of 400 image-prompt pairs, each crafted to challe
Externí odkaz:
http://arxiv.org/abs/2407.01509
Autor:
C Armengaud, H Drioueche, S Campagne-Loiseau, R De Tayrac, C Saussine, L Panel, M Cosson, X Deffieux, P Lucot J, A Pizzoferrato, P Ferry, A Vidart, T Thubert, G Capon, P Debodinance, Y Aubard, A Koebele, J Hermieu, X Game, R Ramanah, G Lamblin, E Lecornet, A Fauconnier, X Fritel
Publikováno v:
Continence, Vol 2, Iss , Pp 1-2 (2022)
Externí odkaz:
https://doaj.org/article/a39d873c972a4d8a874039ce4ffd3c0b
Autor:
H Camilli, B Fatton, E Gand, S Campagne-Loiseau, R De Tayrac, L Wagner, C Saussine, J Rigaud, T Thubert, X Deffieux, M Cosson, P Ferry, A Pizzoferrato, G Capon, L Panel, E Chartier-Kastler, A Fauconnier, T Gauthier, X Game, C Bouynat, A Zimolong, X Fritel
Publikováno v:
Continence, Vol 2, Iss , Pp 1-2 (2022)
Externí odkaz:
https://doaj.org/article/fa63591559cc40b19c8aea162dc58097
Autor:
McKinzie, Brandon, Gan, Zhe, Fauconnier, Jean-Philippe, Dodge, Sam, Zhang, Bowen, Dufter, Philipp, Shah, Dhruti, Du, Xianzhi, Peng, Futang, Weers, Floris, Belyi, Anton, Zhang, Haotian, Singh, Karanjeet, Kang, Doug, Jain, Ankur, Hè, Hongyu, Schwarzer, Max, Gunter, Tom, Kong, Xiang, Zhang, Aonan, Wang, Jianyu, Wang, Chong, Du, Nan, Lei, Tao, Wiseman, Sam, Yin, Guoli, Lee, Mark, Wang, Zirui, Pang, Ruoming, Grasch, Peter, Toshev, Alexander, Yang, Yinfei
In this work, we discuss building performant Multimodal Large Language Models (MLLMs). In particular, we study the importance of various architecture components and data choices. Through careful and comprehensive ablations of the image encoder, the v
Externí odkaz:
http://arxiv.org/abs/2403.09611
In this article, we investigate the solvability of $k$-set agreement among $n$ processes in distributed systems prone to different types of process failures. Specifically, we explore two scenarios: synchronous message-passing systems prone to up to $
Externí odkaz:
http://arxiv.org/abs/2310.01976
Autor:
Delporte, Carole, Fauconnier, Hugues, Fraigniaud, Pierre, Rajsbaum, Sergio, Travers, Corentin
The celebrated Asynchronous Computability Theorem of Herlihy and Shavit (STOC 1993 and STOC 1994) provided a topological characterization of the tasks that are solvable in a distributed system where processes are communicating by writing and reading
Externí odkaz:
http://arxiv.org/abs/2309.13977
Autor:
Loukili El Hassania, Bouslamti Mohammed, Salma Kadda, Asmae Hbika, Amine Elbouzidi, Taibi Mohamed, Ahmad Mohammad Salamatullah, Mohammed Bourhia, Musaab Dauelbait, Ramdani Mohammed, Marie-Laure Fauconnier
Publikováno v:
International Journal of Food Properties, Vol 27, Iss 1, Pp 1079-1094 (2024)
The objective of this ongoing research is to investigate and assess the aqueous extracts, vegetable oil, and residual plant components derived from O. dillenii by use of HPLC, and GC-MS. Subsequent investigations employed colorimetric techniques to i
Externí odkaz:
https://doaj.org/article/49ca503996ee4242812759b087f98472
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study evaluates induced allelopathy in a rye-pigweed model driven by rye’s (Secale cereale L.) allelopathic potential as a cover crop and pigweed’s (Amaranthus retroflexus L.) notoriety as a weed. The response of rye towards pigweed
Externí odkaz:
https://doaj.org/article/f736b976e9a847a3a0561dd027bb64cd
Autor:
Muller, Benjamin, Gupta, Deepanshu, Patwardhan, Siddharth, Fauconnier, Jean-Philippe, Vandyke, David, Agarwal, Sachin
Multi-lingual language models (LM), such as mBERT, XLM-R, mT5, mBART, have been remarkably successful in enabling natural language tasks in low-resource languages through cross-lingual transfer from high-resource ones. In this work, we try to better
Externí odkaz:
http://arxiv.org/abs/2212.01757