1,721,049 research outputs found
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
Beyond Redundancy: Embedding-Aware Novelty Reranking in Retrieval-Augmented Generation
No full textQuesta tesi affronta il problema della ridondanza informativa nei sistemi di Retrieval-Augmented Generation (RAG), dove i modelli di linguaggio di grandi dimensioni vengono supportati da documenti recuperati da collezioni esterne. La presenza di passaggi duplicati o parafrasati limita infatti la copertura fattuale e riduce l’efficacia delle risposte generate. Per affrontare questa sfida, viene studiato un approccio di reranking basato sulla novità semantica, ottenuta attraverso il clustering in spazi di embedding densi. L’obiettivo è promuovere la diversità dei contenuti presentati al modello, riducendo la ridondanza e favorendo l’inclusione di fatti complementari. Il lavoro valuta diverse strategie di supervisione (lessicale e semantica), proponendo un fine-tuning del modello Set-Encoder con obiettivi contrastivi e listwise. La valutazione è condotta su benchmark standard (MMLU, GPQA) e sulla TREC RAG Track 2024, con metriche di accuratezza e di copertura nugget-based. I risultati mostrano che i benefici del reranking consapevole della novità emergono soprattutto in contesti di valutazione che privilegiano la copertura fine-grained dei contenuti, confermando il potenziale degli approcci embedding-aware nella costruzione di pipeline RAG più informative ed efficaci.
This thesis addresses the issue of informational redundancy in Retrieval-Augmented Generation (RAG) systems, where large language models are supported by documents retrieved from external collections. Redundant or paraphrased passages reduce factual coverage and limit the effectiveness of generated answers. To overcome this challenge, the work explores a novelty-aware reranking strategy based on semantic clustering in dense embedding spaces. The goal is to promote factual diversity by reducing redundancy and prioritizing complementary evidence. The study compares lexical and semantic supervision strategies, introducing a fine-tuning of the Set-Encoder reranker with contrastive and listwise objectives. Evaluation is carried out on standard benchmarks (MMLU, GPQA) and the TREC RAG Track 2024, using both accuracy-based and nugget-based coverage metrics. Results indicate that the benefits of novelty-aware reranking are most visible under evaluation frameworks that explicitly reward fine-grained factual coverage, highlighting the potential of embedding-aware approaches in designing more informative and effective RAG pipelines
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
Artifact Sharing for Information Retrieval Research
Full text linkSharing artifacts—such as trained models, pre-built indexes, and
the code to use them—aids in reproducibility efforts by allowing
researchers to validate intermediate steps and improves the sustainability of research by allowing multiple groups to build off one
another’s prior computational work. Although there are de facto
consensuses on how to share research code (through a git repository
linked to from publications) and trained models (via HuggingFace
Hub), there is no consensus for other types of artifacts, such as
built indexes. Given the practical utility of using shared indexes,
researchers have resorted to self-hosting these resources or performing ad hoc file transfers upon request, ultimately limiting the
artifacts’ discoverability and reuse. This demonstration introduces
a flexible and interoperable way to share artifacts for Information
Retrieval research, improving both their accessibility and usability
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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