Zobrazeno 1 - 10
of 15 117
pro vyhledávání: '"Karger, A."'
Autor:
Eslami, Motahhare, Gilbert, Eric, Schoenebeck, Sarita, Baumer, Eric P. S., Chandrasekharan, Eshwar, De Mooy, Michelle, Karahalios, Karrie, Karger, David, Cottom, Tressie McMillan, Monroy-Hernández, Andrés, Terveen, Loren, Wihbey, John
Social technologies are the systems, interfaces, features, infrastructures, and architectures that allow people to interact with each other online. These technologies dramatically shape the fabric of our everyday lives, from the information we consum
Externí odkaz:
http://arxiv.org/abs/2404.10897
Autor:
Jahanbakhsh, Farnaz, Karger, David R.
Publikováno v:
Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24), May 11--16, 2024
The status-quo of misinformation moderation is a central authority, usually social platforms, deciding what content constitutes misinformation and how it should be handled. However, to preserve users' autonomy, researchers have explored democratized
Externí odkaz:
http://arxiv.org/abs/2403.11485
Autor:
Soliman, Nouran, Kang, Hyeonsu B, Latzke, Matthew, Bragg, Jonathan, Chang, Joseph Chee, Zhang, Amy X., Karger, David R
In communities with social hierarchies, fear of judgment can discourage communication. While anonymity may alleviate some social pressure, fully anonymous spaces enable toxic behavior and hide the social context that motivates people to participate a
Externí odkaz:
http://arxiv.org/abs/2402.17847
Large language models (LLMs) match and sometimes exceeding human performance in many domains. This study explores the potential of LLMs to augment human judgement in a forecasting task. We evaluate the effect on human forecasters of two LLM assistant
Externí odkaz:
http://arxiv.org/abs/2402.07862
Publikováno v:
Proc. ACM Hum.-Comput. Interact. 8, CSCW1, Article 167 (April 2024), 47 pages
Social media systems are as varied as they are pervasive. They have been almost universally adopted for a broad range of purposes including work, entertainment, activism, and decision making. As a result, they have also diversified, with many distinc
Externí odkaz:
http://arxiv.org/abs/2402.05388
Autor:
Lienen, Christian, Brede, Mathis, Karger, Daniel, Koch, Kevin, Logan, Dalisha, Mazur, Janet, Nowosad, Alexander Philipp, Schnelle, Alexander, Waizy, Mohness, Platzner, Marco
Autonomous driving has become an important research area in recent years, and the corresponding system creates an enormous demand for computations. Heterogeneous computing platforms such as systems-on-chip that combine CPUs with reprogrammable hardwa
Externí odkaz:
http://arxiv.org/abs/2309.02026
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes
Autor:
Jiang, Sharon, Shen, Shannon, Agrawal, Monica, Lam, Barbara, Kurtzman, Nicholas, Horng, Steven, Karger, David, Sontag, David
The large amount of time clinicians spend sifting through patient notes and documenting in electronic health records (EHRs) is a leading cause of clinician burnout. By proactively and dynamically retrieving relevant notes during the documentation pro
Externí odkaz:
http://arxiv.org/abs/2308.08494
Regionally optimized high-resolution input datasets enhance the representation of snow cover in CLM5
Publikováno v:
Earth System Dynamics, Vol 15, Pp 1073-1115 (2024)
Land surface processes, crucial for exchanging carbon, nitrogen, water, and energy between the atmosphere and terrestrial Earth, significantly impact the climate system. Many of these processes vary considerably at small spatial and temporal scales,
Externí odkaz:
https://doaj.org/article/42202530809c4e27b6b48b9040e8f6b9
Prediction markets elicit and aggregate beliefs by paying agents based on how close their predictions are to a verifiable future outcome. However, outcomes of many important questions are difficult to verify or unverifiable, in that the ground truth
Externí odkaz:
http://arxiv.org/abs/2306.04305
Autor:
Patiño, Jairo, Collart, Flavien, Vanderpoorten, Alain, Martin-Esquivel, José Luis, Naranjo-Cigala, Agustín, Mirolo, Sébastien, Karger, Dirk N.
Publikováno v:
Diversity and Distributions, 2023 Oct 01. 29(10), 1245-1262.
Externí odkaz:
https://www.jstor.org/stable/48742982