Zobrazeno 1 - 10
of 11 409
pro vyhledávání: '"Hamelin, A."'
ETHICS is probably the most-cited dataset for testing the ethical capabilities of language models. Drawing on moral theory, psychology, and prompt evaluation, we interrogate the validity of the ETHICS benchmark. Adding to prior work, our findings sug
Externí odkaz:
http://arxiv.org/abs/2410.13009
The goal of this contribution is to provide worksheets in Coq for students to learn about divisibility and binomials. These basic topics are a good case study as they are widely taught in the early academic years (or before in France). We present her
Externí odkaz:
http://arxiv.org/abs/2404.12676
Autor:
Vidgen, Bertie, Agrawal, Adarsh, Ahmed, Ahmed M., Akinwande, Victor, Al-Nuaimi, Namir, Alfaraj, Najla, Alhajjar, Elie, Aroyo, Lora, Bavalatti, Trupti, Bartolo, Max, Blili-Hamelin, Borhane, Bollacker, Kurt, Bomassani, Rishi, Boston, Marisa Ferrara, Campos, Siméon, Chakra, Kal, Chen, Canyu, Coleman, Cody, Coudert, Zacharie Delpierre, Derczynski, Leon, Dutta, Debojyoti, Eisenberg, Ian, Ezick, James, Frase, Heather, Fuller, Brian, Gandikota, Ram, Gangavarapu, Agasthya, Gangavarapu, Ananya, Gealy, James, Ghosh, Rajat, Goel, James, Gohar, Usman, Goswami, Sujata, Hale, Scott A., Hutiri, Wiebke, Imperial, Joseph Marvin, Jandial, Surgan, Judd, Nick, Juefei-Xu, Felix, Khomh, Foutse, Kailkhura, Bhavya, Kirk, Hannah Rose, Klyman, Kevin, Knotz, Chris, Kuchnik, Michael, Kumar, Shachi H., Kumar, Srijan, Lengerich, Chris, Li, Bo, Liao, Zeyi, Long, Eileen Peters, Lu, Victor, Luger, Sarah, Mai, Yifan, Mammen, Priyanka Mary, Manyeki, Kelvin, McGregor, Sean, Mehta, Virendra, Mohammed, Shafee, Moss, Emanuel, Nachman, Lama, Naganna, Dinesh Jinenhally, Nikanjam, Amin, Nushi, Besmira, Oala, Luis, Orr, Iftach, Parrish, Alicia, Patlak, Cigdem, Pietri, William, Poursabzi-Sangdeh, Forough, Presani, Eleonora, Puletti, Fabrizio, Röttger, Paul, Sahay, Saurav, Santos, Tim, Scherrer, Nino, Sebag, Alice Schoenauer, Schramowski, Patrick, Shahbazi, Abolfazl, Sharma, Vin, Shen, Xudong, Sistla, Vamsi, Tang, Leonard, Testuggine, Davide, Thangarasa, Vithursan, Watkins, Elizabeth Anne, Weiss, Rebecca, Welty, Chris, Wilbers, Tyler, Williams, Adina, Wu, Carole-Jean, Yadav, Poonam, Yang, Xianjun, Zeng, Yi, Zhang, Wenhui, Zhdanov, Fedor, Zhu, Jiacheng, Liang, Percy, Mattson, Peter, Vanschoren, Joaquin
This paper introduces v0.5 of the AI Safety Benchmark, which has been created by the MLCommons AI Safety Working Group. The AI Safety Benchmark has been designed to assess the safety risks of AI systems that use chat-tuned language models. We introdu
Externí odkaz:
http://arxiv.org/abs/2404.12241
Autor:
Schmitt, J., Adami, C., Dennefeld, M., Agneray, F., Basa, S., Brunel, J. C., Buat, V., Burgarella, D., Carvalho, C., Castagnoli, G., Grosso, N., Huppert, F., Moreau, C., Moreau, F., Moreau, L., Muslimov, E., Pascal, S., Perruchot, S., Russeil, D., Beuzit, J. L., Dolon, F., Ferrari, M., Hamelin, B., LevanSuu, A., Aravind, K., Gotz, D., Jehin, E., LeFloc'h, E., Palmerio, J., Saccardi, A., Schneider, B., Schüssler, F., Turpin, D., Vergani, S. D.
MISTRAL is the new Faint Object Spectroscopic Camera mounted at the folded Cassegrain focus of the 1.93m telescope of Haute-Provence Observatory. We describe the design and components of the instrument and give some details about its operation. We em
Externí odkaz:
http://arxiv.org/abs/2404.03705
Autor:
Longpre, Shayne, Kapoor, Sayash, Klyman, Kevin, Ramaswami, Ashwin, Bommasani, Rishi, Blili-Hamelin, Borhane, Huang, Yangsibo, Skowron, Aviya, Yong, Zheng-Xin, Kotha, Suhas, Zeng, Yi, Shi, Weiyan, Yang, Xianjun, Southen, Reid, Robey, Alexander, Chao, Patrick, Yang, Diyi, Jia, Ruoxi, Kang, Daniel, Pentland, Sandy, Narayanan, Arvind, Liang, Percy, Henderson, Peter
Independent evaluation and red teaming are critical for identifying the risks posed by generative AI systems. However, the terms of service and enforcement strategies used by prominent AI companies to deter model misuse have disincentives on good fai
Externí odkaz:
http://arxiv.org/abs/2403.04893
Autor:
Hovington, Samuel, Petit, Louis, Stratford, Sophie, Hamelin, Philippe, Lussier-Desbiens, Alexis, Ferland, Francois
Accurately estimating risk in real-time is essential for ensuring the safety and efficiency of many applications involving autonomous robot systems. This paper presents a novel, generalizable algorithm for the real-time estimation of risks created by
Externí odkaz:
http://arxiv.org/abs/2402.04518
Researchers, government bodies, and organizations have been repeatedly calling for a shift in the responsible AI community from general principles to tangible and operationalizable practices in mitigating the potential sociotechnical harms of AI. Fra
Externí odkaz:
http://arxiv.org/abs/2401.15229
Autor:
Lam, Khoa, Lange, Benjamin, Blili-Hamelin, Borhane, Davidovic, Jovana, Brown, Shea, Hasan, Ali
Publikováno v:
The 2024 ACM Conference on Fairness, Accountability, and Transparency
An increasing number of regulations propose AI audits as a mechanism for achieving transparency and accountability for artificial intelligence (AI) systems. Despite some converging norms around various forms of AI auditing, auditing for the purpose o
Externí odkaz:
http://arxiv.org/abs/2401.14908
Dreams of machines rivaling human intelligence have shaped the field of AI since its inception. Yet, the very meaning of human-level AI or artificial general intelligence (AGI) remains elusive and contested. Definitions of AGI embrace a diverse range
Externí odkaz:
http://arxiv.org/abs/2401.13142
Autor:
Kevin A. Kovalchik, David J. Hamelin, Peter Kubiniok, Benoîte Bourdin, Fatima Mostefai, Raphaël Poujol, Bastien Paré, Shawn M. Simpson, John Sidney, Éric Bonneil, Mathieu Courcelles, Sunil Kumar Saini, Mohammad Shahbazy, Saketh Kapoor, Vigneshwar Rajesh, Maya Weitzen, Jean-Christophe Grenier, Bayrem Gharsallaoui, Loïze Maréchal, Zhaoguan Wu, Christopher Savoie, Alessandro Sette, Pierre Thibault, Isabelle Sirois, Martin A. Smith, Hélène Decaluwe, Julie G. Hussin, Mathieu Lavallée-Adam, Etienne Caron
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-22 (2024)
Abstract Next-generation T-cell-directed vaccines for COVID-19 focus on establishing lasting T-cell immunity against current and emerging SARS-CoV-2 variants. Precise identification of conserved T-cell epitopes is critical for designing effective vac
Externí odkaz:
https://doaj.org/article/9c66e9cf31c342f29664ca716c9b1d6c
