11 papers · ranked by Valyu relevance
Vamshi Krishna Bonagiri, Ponnurangam Kumaragurum, Khanh Nguyen, Benjamin Plaut
As Large Language Model (LLM) agents increasingly operate in complex environments with real-world consequences, their safety becomes critical. While uncertainty quantification is well-studied for single-turn tasks, multi-turn agentic scenarios with real-world tool access present unique challenges where uncertainties…
Chen Liu, Zhikang Chi, Yang Sui
Quiet quitting has attracted increasing scholarly attention, yet existing research has offered limited insight into how task-level experiences are associated with employees' effort restriction. Drawing on the strength model of self-control, this study develops a moderated mediation model to examine how and when…
Jeff Moher, Anna Delos Reyes, Trafton Drew
Irrelevant salient distractors can trigger early quitting in visual search, causing observers to miss targets they might otherwise find. Here, we asked whether task-relevant salient cues can produce a similar early quitting effect on the subset of trials where those cues fail to highlight the target. We presented…
Petros Galanis, Aglaia Katsiroumpa, Irene Vraka, Olga Siskou + 4 more
'Olympia Konstantakopoulou' 'Ioannis Moisoglou' 'Parisis Gallos' 'Daphne Kaitelidou'] Introduction COVID-19 pandemic causes drastic changes in workplaces that are likely to increase quite quitting among employees. Although quiet quitting is not a new phenomenon, there is no instrument to measure it. Objective To…
Mark W. Becker, Andrew Rodriguez, Dana Pontious
Models of visual search posit that target absent responses occur when the quitting threshold for the trial is reached before a target is detected, and that feedback about missed targets allows the quitting threshold to be adaptively set to the difficulty of the search task. While these models may effectively capture…
Rebecca K. Lawrence, B. A. Cochrane, A. Eidels, Z. Howard + 2 more
'J. Pratt'] When a highly salient distractor is present in a search array, it speeds target absent visual search and increases errors during target present visual search, suggesting lowered quitting thresholds (Moher in Psychol Sci 31(1):31-42, 2020). Missing a critical target in the presence of a highly salient…
Galit Ashkenazi-Golan, Ilia Krasikov, Catherine Rainer, Eilon Solan
We study quitting games and define the concept of absorption paths, which is an alternative definition to strategy profiles that accomodates both discrete time aspects and continuous time aspects, and is parameterized by the total probability of absorption in past play rather than by time. We then define the concept of…
Isaiah Mills, Mitchell Fisher, Corey Wadsley, Ian Greenhouse
Selectively stopping individual parts of planned or ongoing movements is an everyday motor skill. For example, while walking in public you may stop yourself from waving at a stranger who you mistook for a friend while continuing to walk. Despite its ubiquity, our ability to selectively stop actions is limited.…
Pankaj C. Patel, Maria João Guedes, Daniel G. Bachrach, Younsung Cho + 1 more
'Francesco Marcatto'] Growing attention has focused on employees’ repeated workplace decision to engage in work-related tasks and responsibilities at a minimum level that will not lead to their dismissal. This pattern of employee work behavior, labeled “Quiet Quitting,” represents a potentially problematic…
Authors not listed
This paper presents GLAS (Git-based Lab Automated Scheduler or Get Lab Automation Simplified), an open-source, robust, and highly expandable Git-based architecture designed for laboratory automation. GLAS can be deployed in both partially and fully automated experimental science laboratories, enabling the development…
Barak Shoshany
We present a modern C++17-compatible thread pool implementation, built from scratch with highperformance scientific computing in mind. The thread pool is implemented as a single lightweight and self-contained class, and does not have any dependencies other than the C++17 standard library, thus allowing a great degree…