Zobrazeno 1 - 10
of 3 337
pro vyhledávání: '"A. ERMIŞ"'
In standard quantum theory, the causal relations between operations are fixed and determined by the spacetime structure. Relaxing this notion of fixed causal order has been studied extensively over the past years. A first departure allows for dynamic
Externí odkaz:
http://arxiv.org/abs/2412.17551
Autor:
Dang, John, Singh, Shivalika, D'souza, Daniel, Ahmadian, Arash, Salamanca, Alejandro, Smith, Madeline, Peppin, Aidan, Hong, Sungjin, Govindassamy, Manoj, Zhao, Terrence, Kublik, Sandra, Amer, Meor, Aryabumi, Viraat, Campos, Jon Ander, Tan, Yi-Chern, Kocmi, Tom, Strub, Florian, Grinsztajn, Nathan, Flet-Berliac, Yannis, Locatelli, Acyr, Lin, Hangyu, Talupuru, Dwarak, Venkitesh, Bharat, Cairuz, David, Yang, Bowen, Chung, Tim, Ko, Wei-Yin, Shi, Sylvie Shang, Shukayev, Amir, Bae, Sammie, Piktus, Aleksandra, Castagné, Roman, Cruz-Salinas, Felipe, Kim, Eddie, Crawhall-Stein, Lucas, Morisot, Adrien, Roy, Sudip, Blunsom, Phil, Zhang, Ivan, Gomez, Aidan, Frosst, Nick, Fadaee, Marzieh, Ermis, Beyza, Üstün, Ahmet, Hooker, Sara
We introduce the Aya Expanse model family, a new generation of 8B and 32B parameter multilingual language models, aiming to address the critical challenge of developing highly performant multilingual models that match or surpass the capabilities of m
Externí odkaz:
http://arxiv.org/abs/2412.04261
Autor:
Singh, Shivalika, Romanou, Angelika, Fourrier, Clémentine, Adelani, David I., Ngui, Jian Gang, Vila-Suero, Daniel, Limkonchotiwat, Peerat, Marchisio, Kelly, Leong, Wei Qi, Susanto, Yosephine, Ng, Raymond, Longpre, Shayne, Ko, Wei-Yin, Smith, Madeline, Bosselut, Antoine, Oh, Alice, Martins, Andre F. T., Choshen, Leshem, Ippolito, Daphne, Ferrante, Enzo, Fadaee, Marzieh, Ermis, Beyza, Hooker, Sara
Cultural biases in multilingual datasets pose significant challenges for their effectiveness as global benchmarks. These biases stem not only from language but also from the cultural knowledge required to interpret questions, reducing the practical u
Externí odkaz:
http://arxiv.org/abs/2412.03304
We study the design of iterative combinatorial auctions (ICAs). The main challenge in this domain is that the bundle space grows exponentially in the number of items. To address this, several papers have recently proposed machine learning (ML)-based
Externí odkaz:
http://arxiv.org/abs/2411.09355
Autor:
Aakanksha, Ahmadian, Arash, Goldfarb-Tarrant, Seraphina, Ermis, Beyza, Fadaee, Marzieh, Hooker, Sara
Large Language Models (LLMs) have been adopted and deployed worldwide for a broad variety of applications. However, ensuring their safe use remains a significant challenge. Preference training and safety measures often overfit to harms prevalent in W
Externí odkaz:
http://arxiv.org/abs/2410.10801
Autor:
Öncel, Fırat, Bethge, Matthias, Ermis, Beyza, Ravanelli, Mirco, Subakan, Cem, Yıldız, Çağatay
In the last decade, the generalization and adaptation abilities of deep learning models were typically evaluated on fixed training and test distributions. Contrary to traditional deep learning, large language models (LLMs) are (i) even more overparam
Externí odkaz:
http://arxiv.org/abs/2410.05581
The use of synthetic data has played a critical role in recent state-of-art breakthroughs. However, overly relying on a single oracle teacher model to generate data has been shown to lead to model collapse and invite propagation of biases. These limi
Externí odkaz:
http://arxiv.org/abs/2408.14960
We present a tight inequality to test the dynamical nature of spacetime. A general-relativistic violation of that inequality certifies change of curvature, in the same sense as a quantum-mechanical violation of a Bell inequality certifies a source of
Externí odkaz:
http://arxiv.org/abs/2407.17203
Autor:
Aakanksha, Ahmadian, Arash, Ermis, Beyza, Goldfarb-Tarrant, Seraphina, Kreutzer, Julia, Fadaee, Marzieh, Hooker, Sara
A key concern with the concept of "alignment" is the implicit question of "alignment to what?". AI systems are increasingly used across the world, yet safety alignment is often focused on homogeneous monolingual settings. Additionally, preference tra
Externí odkaz:
http://arxiv.org/abs/2406.18682
The next frontier of online advertising is revenue generation from LLM-generated content. We consider a setting where advertisers aim to influence the responses of an LLM to align with their interests, while platforms seek to maximize advertiser valu
Externí odkaz:
http://arxiv.org/abs/2405.05905