Zobrazeno 1 - 10
of 25 975
pro vyhledávání: '"A. Kleinberg"'
Autor:
Kleinberg, Bennett, Zegers, Jari, Festor, Jonas, Vida, Stefana, Präsent, Julian, Loconte, Riccardo, Peereboom, Sanne
Differentiating between generated and human-written content is important for navigating the modern world. Large language models (LLMs) are crucial drivers behind the increased quality of computer-generated content. Reportedly, humans find it increasi
Externí odkaz:
http://arxiv.org/abs/2410.01675
Autor:
Tang, Zhenwei, Jiao, Difan, McIlroy-Young, Reid, Kleinberg, Jon, Sen, Siddhartha, Anderson, Ashton
There are an increasing number of domains in which artificial intelligence (AI) systems both surpass human ability and accurately model human behavior. This introduces the possibility of algorithmically-informed teaching in these domains through more
Externí odkaz:
http://arxiv.org/abs/2409.20553
Large language models (LLMs) increasingly reach real-world applications, necessitating a better understanding of their behaviour. Their size and complexity complicate traditional assessment methods, causing the emergence of alternative approaches ins
Externí odkaz:
http://arxiv.org/abs/2409.15324
Broad topics in online platforms represent a type of meso-scale between individual user-defined communities and the whole platform; they typically consist of related communities that address different facets of a shared topic. Users often engage with
Externí odkaz:
http://arxiv.org/abs/2407.11794
We introduce the notion of an online matroid embedding, which is an algorithm for mapping an unknown matroid that is revealed in an online fashion to a larger-but-known matroid. The existence of such embedding enables a reduction from the version of
Externí odkaz:
http://arxiv.org/abs/2407.10316
Autor:
Blumer, Katy, Kleinberg, Jon
An increasing amount of attention has been devoted to the problem of "toxic" or antisocial behavior on social media. In this paper we analyze such behavior at very large scales: we analyze toxicity over a 14-year time span on nearly 500 million comme
Externí odkaz:
http://arxiv.org/abs/2407.09365
Autor:
Dagan, Yuval, Daskalakis, Constantinos, Fishelson, Maxwell, Golowich, Noah, Kleinberg, Robert, Okoroafor, Princewill
A set of probabilistic forecasts is calibrated if each prediction of the forecaster closely approximates the empirical distribution of outcomes on the subset of timesteps where that prediction was made. We study the fundamental problem of online cali
Externí odkaz:
http://arxiv.org/abs/2406.13668
Autor:
Evtushenko, Anna, Kleinberg, Jon
Publikováno v:
Sci Rep 14, 13730 (2024)
The Friendship Paradox is a simple and powerful statement about node degrees in a graph (Feld 1991). However, it only applies to undirected graphs with no edge weights, and the only node characteristic it concerns is degree. Since many social network
Externí odkaz:
http://arxiv.org/abs/2406.10423
Detecting counterfeits on online marketplaces is challenging, and current methods struggle with the volume of sales on platforms like eBay, while cryptomarkets openly sell counterfeits. Leveraging information from 453 cryptomarket counterfeits, we au
Externí odkaz:
http://arxiv.org/abs/2406.05021
Recent work suggests that large language models may implicitly learn world models. How should we assess this possibility? We formalize this question for the case where the underlying reality is governed by a deterministic finite automaton. This inclu
Externí odkaz:
http://arxiv.org/abs/2406.03689