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pro vyhledávání: '"Brannon, P."'
Autor:
King, Brannon, Hildebrand, Robert
We study heuristic algorithms for job shop scheduling problems. We compare classical approaches, such as the shifting bottleneck heuristic with novel strategies using decision diagrams. Balas' local refinement is used to improve feasible solutions. H
Externí odkaz:
http://arxiv.org/abs/2407.18111
Autor:
Longpre, Shayne, Mahari, Robert, Lee, Ariel, Lund, Campbell, Oderinwale, Hamidah, Brannon, William, Saxena, Nayan, Obeng-Marnu, Naana, South, Tobin, Hunter, Cole, Klyman, Kevin, Klamm, Christopher, Schoelkopf, Hailey, Singh, Nikhil, Cherep, Manuel, Anis, Ahmad, Dinh, An, Chitongo, Caroline, Yin, Da, Sileo, Damien, Mataciunas, Deividas, Misra, Diganta, Alghamdi, Emad, Shippole, Enrico, Zhang, Jianguo, Materzynska, Joanna, Qian, Kun, Tiwary, Kush, Miranda, Lester, Dey, Manan, Liang, Minnie, Hamdy, Mohammed, Muennighoff, Niklas, Ye, Seonghyeon, Kim, Seungone, Mohanty, Shrestha, Gupta, Vipul, Sharma, Vivek, Chien, Vu Minh, Zhou, Xuhui, Li, Yizhi, Xiong, Caiming, Villa, Luis, Biderman, Stella, Li, Hanlin, Ippolito, Daphne, Hooker, Sara, Kabbara, Jad, Pentland, Sandy
General-purpose artificial intelligence (AI) systems are built on massive swathes of public web data, assembled into corpora such as C4, RefinedWeb, and Dolma. To our knowledge, we conduct the first, large-scale, longitudinal audit of the consent pro
Externí odkaz:
http://arxiv.org/abs/2407.14933
Understanding and making use of audience feedback is important but difficult for journalists, who now face an impractically large volume of audience comments online. We introduce AudienceView, an online tool to help journalists categorize and interpr
Externí odkaz:
http://arxiv.org/abs/2407.12613
Words often carry different meanings for people from diverse backgrounds. Today's era of social polarization demands that we choose words carefully to prevent miscommunication, especially in political communication and journalism. To address this iss
Externí odkaz:
http://arxiv.org/abs/2407.09661
Autor:
Longpre, Shayne, Mahari, Robert, Obeng-Marnu, Naana, Brannon, William, South, Tobin, Gero, Katy, Pentland, Sandy, Kabbara, Jad
Publikováno v:
Proceedings of ICML 2024, in PMLR 235:32711-32725. URL: https://proceedings.mlr.press/v235/longpre24b.html
New capabilities in foundation models are owed in large part to massive, widely-sourced, and under-documented training data collections. Existing practices in data collection have led to challenges in tracing authenticity, verifying consent, preservi
Externí odkaz:
http://arxiv.org/abs/2404.12691
Akademický článek
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Akademický článek
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Finding a totally geodesic surface, an embedded surface where the geodesics in the surface are also geodesics in the surrounding manifold, has been a problem of interest in the study of 3-manifolds. This has especially been of interest in hyperbolic
Externí odkaz:
http://arxiv.org/abs/2403.12397
Autor:
Longpre, Shayne, Mahari, Robert, Chen, Anthony, Obeng-Marnu, Naana, Sileo, Damien, Brannon, William, Muennighoff, Niklas, Khazam, Nathan, Kabbara, Jad, Perisetla, Kartik, Wu, Xinyi, Shippole, Enrico, Bollacker, Kurt, Wu, Tongshuang, Villa, Luis, Pentland, Sandy, Hooker, Sara
The race to train language models on vast, diverse, and inconsistently documented datasets has raised pressing concerns about the legal and ethical risks for practitioners. To remedy these practices threatening data transparency and understanding, we
Externí odkaz:
http://arxiv.org/abs/2310.16787
Autor:
Brannon, William, Kang, Wonjune, Fulay, Suyash, Jiang, Hang, Roy, Brandon, Roy, Deb, Kabbara, Jad
Learning on text-attributed graphs (TAGs), in which nodes are associated with one or more texts, has been the subject of much recent work. However, most approaches tend to make strong assumptions about the downstream task of interest, are reliant on
Externí odkaz:
http://arxiv.org/abs/2305.14321