Zobrazeno 1 - 10
of 87 761
pro vyhledávání: '"Rousseau AS"'
Autor:
Zhang, Gongbo, Xu, Zihan, Jin, Qiao, Chen, Fangyi, Fang, Yilu, Liu, Yi, Rousseau, Justin F., Xu, Ziyang, Lu, Zhiyong, Weng, Chunhua, Peng, Yifan
While holding great promise for improving and facilitating healthcare, large language models (LLMs) struggle to produce up-to-date responses on evolving topics due to outdated knowledge or hallucination. Retrieval-augmented generation (RAG) is a pivo
Externí odkaz:
http://arxiv.org/abs/2412.15271
Autor:
Sheikh, Nadia, Jousse, Anne-Laure, Marcos, Daniel Buades, Oladipo, Akintunde, Rousseau, Olivier, Lin, Jimmy
Given the dominance of dense retrievers that do not generalize well beyond their training dataset distributions, domain-specific test sets are essential in evaluating retrieval. There are few test datasets for retrieval systems intended for use by he
Externí odkaz:
http://arxiv.org/abs/2412.06954
Autor:
Dauphin, Frederick, Petric, Andreea, Artigau, Étienne, Stephens, Andrew W., Cook, Neil James, Businger, Steven, Flagey, Nicolas, Marshall, Jennifer, Ntampaka, Michelle, Ravindranath, Swara, Rousseau-Nepton, Laurie
Subtracting the changing sky contribution from the near-infrared (NIR) spectra of faint astronomical objects is challenging and crucial to a wide range of science cases such as estimating the velocity dispersions of dwarf galaxies, studying the gas d
Externí odkaz:
http://arxiv.org/abs/2412.05473
Autor:
Portal, Alice, Angelidou, Andrea, Rousseau-Rizzi, Raphael, Raveh-Rubin, Shira, Givon, Yonatan, Catto, Jennifer L, Battaglioli, Francesco, Taszarek, Mateusz, Flaounas, Emmanouil, Martius, Olivia
Understanding convective processes leading to severe weather hazards within Mediterranean cyclones is relevant for operational forecasters, insurance industry, and enhancing societal preparedness. In this work we examine the climatological link betwe
Externí odkaz:
http://arxiv.org/abs/2412.02590
Autor:
Garner III, Ray, Kennicutt Jr, Robert, Rousseau-Nepton, Laurie, Olivier, Grace M., Fernández-Arenas, David, Robert, Carmelle, Martin, René Pierre, Amram, Philippe
The variations of oxygen abundance and ionization parameter in HII regions are usually thought to be the dominant factors that produced variations seen in observed emission line spectra. However, if and how these two quantities are physically related
Externí odkaz:
http://arxiv.org/abs/2412.01680
In many large-scale classification problems, classes are organized in a known hierarchy, typically represented as a tree expressing the inclusion of classes in superclasses. We introduce a loss for this type of supervised hierarchical classification.
Externí odkaz:
http://arxiv.org/abs/2411.16438
Autor:
Rousseau, Christiane
The paper studies the generic complex 1-dimensional polynomial vector fields of the form $iP(z)\frac{\partial}{\partial z}$, where $P$ is a polynomial with real coefficients, under topological orbital equivalence preserving the separatrices of the po
Externí odkaz:
http://arxiv.org/abs/2411.09108
Autor:
Malenfant-Thuot, Olivier, Kabakiko, Dounia Shaman, Blackburn, Simon, Rousseau, Bruno, Côté, Michel
We introduce a machine learning prediction workflow to study the impact of defects on the Raman response of 2D materials. By combining the use of machine-learned interatomic potentials, the Raman-active $\Gamma$-weighted density of states method and
Externí odkaz:
http://arxiv.org/abs/2410.20417
In this investigation we study a family of networks, called spiders, which covers a range of networks going from chains to complete graphs. These spiders are characterized by three parameters: the number of nodes in the core, the number of legs at ea
Externí odkaz:
http://arxiv.org/abs/2410.09440
Autor:
Bhimji, Wahid, Calafiura, Paolo, Chakkappai, Ragansu, Chang, Po-Wen, Chou, Yuan-Tang, Diefenbacher, Sascha, Dudley, Jordan, Farrell, Steven, Ghosh, Aishik, Guyon, Isabelle, Harris, Chris, Hsu, Shih-Chieh, Khoda, Elham E, Lyscar, Rémy, Michon, Alexandre, Nachman, Benjamin, Nugent, Peter, Reymond, Mathis, Rousseau, David, Sluijter, Benjamin, Thorne, Benjamin, Ullah, Ihsan, Zhang, Yulei
The FAIR Universe -- HiggsML Uncertainty Challenge focuses on measuring the physics properties of elementary particles with imperfect simulators due to differences in modelling systematic errors. Additionally, the challenge is leveraging a large-comp
Externí odkaz:
http://arxiv.org/abs/2410.02867