Zobrazeno 1 - 10
of 5 876
pro vyhledávání: '"Röttger"'
Autor:
Röttger, Nele
Selbstachtung heißt, Verantwortung für sich selbst zu übernehmen. Doch obwohl sie elementar für ein gelingendes Leben und unsere moralische Praxis ist, sind wir nicht zur Selbstachtung verpflichtet. Gegenüber anderen Menschen haben wir Achtungsp
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/92480
The existence of latent variables in practical problems is common, for example when some variables are difficult or expensive to measure, or simply unknown. When latent variables are unaccounted for, structure learning for Gaussian graphical models c
Externí odkaz:
http://arxiv.org/abs/2408.12482
As diverse linguistic communities and users adopt large language models (LLMs), assessing their safety across languages becomes critical. Despite ongoing efforts to make LLMs safe, they can still be made to behave unsafely with jailbreaking, a techni
Externí odkaz:
http://arxiv.org/abs/2408.04522
Autor:
Burankova, Yuliya, Abele, Miriam, Bakhtiari, Mohammad, von Törne, Christine, Barth, Teresa, Schweizer, Lisa, Giesbertz, Pieter, Schmidt, Johannes R., Kalkhof, Stefan, Müller-Deile, Janina, van Veelen, Peter A, Mohammed, Yassene, Hammer, Elke, Arend, Lis, Adamowicz, Klaudia, Laske, Tanja, Hartebrodt, Anne, Frisch, Tobias, Meng, Chen, Matschinske, Julian, Späth, Julian, Röttger, Richard, Schwämmle, Veit, Hauck, Stefanie M., Lichtenthaler, Stefan, Imhof, Axel, Mann, Matthias, Ludwig, Christina, Kuster, Bernhard, Baumbach, Jan, Zolotareva, Olga
Quantitative mass spectrometry has revolutionized proteomics by enabling simultaneous quantification of thousands of proteins. Pooling patient-derived data from multiple institutions enhances statistical power but raises significant privacy concerns.
Externí odkaz:
http://arxiv.org/abs/2407.15220
Autor:
Hackenburg, Kobi, Tappin, Ben M., Röttger, Paul, Hale, Scott, Bright, Jonathan, Margetts, Helen
Large language models can now generate political messages as persuasive as those written by humans, raising concerns about how far this persuasiveness may continue to increase with model size. Here, we generate 720 persuasive messages on 10 U.S. poli
Externí odkaz:
http://arxiv.org/abs/2406.14508
Autor:
Tonneau, Manuel, Liu, Diyi, Fraiberger, Samuel, Schroeder, Ralph, Hale, Scott A., Röttger, Paul
Perceptions of hate can vary greatly across cultural contexts. Hate speech (HS) datasets, however, have traditionally been developed by language. This hides potential cultural biases, as one language may be spoken in different countries home to diffe
Externí odkaz:
http://arxiv.org/abs/2404.17874
Autor:
Eiras, Francisco, Petrov, Aleksandar, Vidgen, Bertie, de Witt, Christian Schroeder, Pizzati, Fabio, Elkins, Katherine, Mukhopadhyay, Supratik, Bibi, Adel, Csaba, Botos, Steibel, Fabro, Barez, Fazl, Smith, Genevieve, Guadagni, Gianluca, Chun, Jon, Cabot, Jordi, Imperial, Joseph Marvin, Nolazco-Flores, Juan A., Landay, Lori, Jackson, Matthew, Röttger, Paul, Torr, Philip H. S., Darrell, Trevor, Lee, Yong Suk, Foerster, Jakob
In the next few years, applications of Generative AI are expected to revolutionize a number of different areas, ranging from science & medicine to education. The potential for these seismic changes has triggered a lively debate about potential risks
Externí odkaz:
http://arxiv.org/abs/2404.17047
Autor:
Kirk, Hannah Rose, Whitefield, Alexander, Röttger, Paul, Bean, Andrew, Margatina, Katerina, Ciro, Juan, Mosquera, Rafael, Bartolo, Max, Williams, Adina, He, He, Vidgen, Bertie, Hale, Scott A.
Human feedback plays a central role in the alignment of Large Language Models (LLMs). However, open questions remain about the methods (how), domains (where), people (who) and objectives (to what end) of human feedback collection. To navigate these q
Externí odkaz:
http://arxiv.org/abs/2404.16019
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
Multiple choice questions (MCQs) are commonly used to evaluate the capabilities of large language models (LLMs). One common way to evaluate the model response is to rank the candidate answers based on the log probability of the first token prediction
Externí odkaz:
http://arxiv.org/abs/2404.08382