3.1k citations · 3.9k across the 15 of their papers we have counts for
16 papers
Towards Artwork Explanation in Large-scale Vision Language Models
Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito +2
Large-scale Vision-Language Models (LVLMs) output text from images and instructions, demonstrating capabilities in text generation and comprehension. However, it has not been clari…
BlackJAX: Composable Bayesian inference in JAX
Alberto Cabezas, Adrien Corenflos, Junpeng Lao +19
BlackJAX is a library implementing sampling and variational inference algorithms commonly used in Bayesian computation. It is designed for ease of use, speed, and modularity by tak…
The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations
Vipula Rawte, Swagata Chakraborty, Agnibh Pathak +5
The recent advancements in Large Language Models (LLMs) have garnered widespread acclaim for their remarkable emerging capabilities. However, the issue of hallucination has paralle…
Efficient Guided Generation for Large Language Models
Brandon T. Willard, Rémi Louf
In this article we show how the problem of neural text generation can be constructively reformulated in terms of transitions between the states of a finite-state machine. This fram…
HuggingFace's Transformers: State-of-the-art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh +19
Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining. Transformer architectures have facilitated building hig…
Tracking random walks
Riccardo Gallotti, Rémi Louf, Jean-Marc Luck +1
In empirical studies of random walks, continuous trajectories of animals or individuals are usually sampled over a finite number of points in space and time. It is however unclear…
Balancing building and maintenance costs in growing transport networks
Arianna Bottinelli, Remi Louf, Marco Gherardi
The costs associated to the length of links impose unavoidable constraints to the growth of natural and artificial transport networks. When future network developments can not be p…
Wandering in cities: a statistical physics approach to urban theory
Rémi Louf
The amount of data that is being gathered about cities is increasing in size and specificity. However, despite this wealth of information, we still have little understanding of wha…
Patterns of residential segregation
Rémi Louf, Marc Barthelemy
The spatial distribution of income shapes the structure and organisation of cities and its understanding has broad societal implications. Despite an abundant literature, many issue…
Scaling: Lost in the smog
Rémi Louf, Marc Barthelemy
In this commentary we discuss the validity of scaling laws and their relevance for understanding urban systems and helping policy makers. We show how the recent controversy about t…
A typology of street patterns
Rémi Louf, Marc Barthelemy
We propose a quantitative method to classify cities according to their street pattern. We use the conditional probability distribution of shape factor of blocks with a given area,…
Scaling in transportation networks
Rémi Louf, Camille Roth, Marc Barthelemy
Subway systems span most large cities, and railway networks most countries in the world. These networks are fundamental in the development of countries and their cities, and it is…
How congestion shapes cities: from mobility patterns to scaling
Rémi Louf, Marc Barthelemy
The recent availability of data for cities has allowed scientists to exhibit scalings which present themselves in the form of a power-law dependence with population of various soci…
Modeling the polycentric transition of cities
Rémi Louf, Marc Barthelemy
Empirical evidence suggest that most urban systems experience a transition from a monocentric to a polycentric organisation as they grow and expand. We propose here a stochastic, o…
Emergence of hierarchy in cost driven growth of spatial networks
Rémi Louf, Pablo Jensen, Marc Barthelemy
One of the most important features of spatial networks such as transportation networks, power grids, Internet, neural networks, is the existence of a cost associated with the lengt…
Universal size effects for populations in group-outcome decision-making problems
Christian Borghesi, Laura Hernández, Rémi Louf +1
Elections constitute a paradigm of decision-making problems that have puzzled experts of different disciplines for decades. We study two decision-making problems, where groups make…