1. The powerful lens galaxy cluster PLCK G287.0+32.9 (θ<inf>E</inf>∼ 43"): Redshift catalog and new lens model using MUSE observations 

   D'Addona M.; Mercurio A.; Rosati P.; et al. (2024)

   Astronomy & Astrophysics

   We present a new high-precision strong-lensing model of PLCK G287.0+32.9, a massive lens galaxy cluster at z = 0:383, with the aim of obtaining an accurate estimation of its effective Einstein radius and total mass distribution.We also present a spectroscopic catalog containing accurate redshift measurements for close to 500 objects up to redshift z = 6, including multiply lensed sources and cluster member galaxies. Methods. We exploited ...

   Journal Article

2. MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels 

   Chen Q.; Geng X.; Rosset C.; et al. (2024)

   WWW 2024 Companion - Companion Proceedings of the ACM Web Conference

   Recent breakthroughs in large models have highlighted the critical significance of data scale, labels and modals. In this paper, we introduce MS MARCO Web Search, the first large-scale information-rich web dataset, featuring millions of real clicked query-document labels. This dataset closely mimics real-world web document and query distribution, provides rich information for various kinds of downstream tasks and encourages research in ...

   Conference Paper

3. Shock! Quantifying the Impact of Core Developers’ Dropout on the Productivity of OSS Projects 

   Latona G.R.; Gote C.; Zingg C.; et al. (2024)

   WWW 2024 Companion - Companion Proceedings of the ACM Web Conference

   Open Source Software (OSS) projects play a critical role in the digital infrastructure of companies and services provided to millions of people. Given their importance, understanding the resilience of OSS projects is paramount. A primary reason for OSS project failure is the shock caused by the dropout of a core developer, which can jeopardize productivity and project survival. Using a difference-in-differences (DiD) analysis, this study ...

   Conference Paper

4. Measuring Arbitrage Losses and Profitability of AMM Liquidity 

   Fritsch R.; Canidio A. (2024)

   WWW 2024 Companion - Companion Proceedings of the ACM Web Conference

   This paper presents the results of a comprehensive empirical study of losses to arbitrageurs (following the formalization of loss-versus-rebalancing by [Milionis et al., 2022]) incurred by liquidity on automated market makers (AMMs). Through a systematic comparison between historical earnings from trading fees and losses to arbitrageurs, our findings indicate an insufficient compensation from fees for arbitrage losses across many of the ...

   Conference Paper

5. Mouse Tracking for Reading (MoTR): A new naturalistic incremental processing measurement tool 

   Wilcox, Ethan Gotlieb; Ding, Cui; Sachan, Mrinmaya; et al. (2024)

   Journal of Memory and Language

   We introduce Mouse Tracking for Reading (MOTR) a new incremental processing measurement tool that can be used to collect word-by-word reading times. In a MOTR trial, participants are presented with text, which is blurred, except for a small region around the tip of the mouse. Participants must move the mouse to reveal and read the text. Mouse movement is recorded, and, using a postprocessing pipeline we present, can be analyzed to produce ...

   Journal Article

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