1,720,971 research outputs found
Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?
No full textIn this study, we explore the ability of Large Language Models (LLMs) to understand and recall features associated with combinatorial optimization problems in both Natural Language Processing (NLP) and structured contexts. By probing LLMs using a diverse set of optimization problem instances, we aim to evaluate the models’ ability to accurately extract and reason about key attributes, such as parameters and features. Our methodology involves both structured and extended NLP-based prompts for the models and instructing these models to identify specific features from the provided problem instances. The results reveal that while LLMs exhibit some capacity to identify and extract information, they fail to recall 100% of even the simplest features consistently present within the text. This limitation underscores the current challenges LLMs face in precise reasoning and feature extraction tasks, suggesting the need for further refinement in their interpretability and understanding capabilities when applied to structured problem-solving domains. (Relevant data and code are available at the following link: https://osf.io/fw6ta/?view_only=d8e63cdda6bd409b83aa3d9a4b025b06)
EasyLocal++ a 25-year Perspective on Local Search Frameworks
Full text linkEasyLocal++ is a white-box C++ framework for designing local search algorithms. Over the years, it has been successfully used across various domains, such as timetabling, rostering, scheduling, and logistics, and has produced state-of-the-art results in benchmark datasets and competitions. Beyond research, EasyLocal++ has found practical use in real-world and industrial settings, demonstrating the flexibility and adaptability of the framework for different applications. In this paper, we position EasyLocal++ within the existing literature by comparing its capabilities with those of available alternative/similar tools. We then trace its history from its initial design 25 years ago to the current version. Furthermore, we describe its architecture, highlighting its design principles and functionalities. We also discuss the features developed to simplify the design of local search methods and enhance their performance. Lastly, we explore potential future perspectives and developments
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem
No full textThis paper addresses the Oven Scheduling Problem (OSP), a parallel batch scheduling problem in semiconductor manufacturing, and identifies strengths and weaknesses of solution methods using the Instance Space Analysis (ISA) methodology. We propose a comprehensive feature set to effectively characterize OSP instances and generate more diverse instances compared to the literature. The performance of two state-of-the-art algorithms for the OSP – Simulated Annealing and Large Neighborhood Search – is analyzed using ISA, revealing distinct regions of superior or inferior performance for each, as well as areas of equal performance. Finally, we propose an automated algorithm selection approach that outperforms any single algorithm
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