Scooped by Stéphane Cottin
onto Bonnes pratiques en documentation

April 10, 3:26 AM

Scoop.it!

Large Language Models Are Unreliable Judges by Jonathan H. Choi :: SSRN

From papers.ssrn.com - April 10, 3:26 AM

Can large language models (LLMs) serve as "AI judges" that provide answers to legal questions? I conduct the first series of empirical experiments to

more...

No comment yet.

Bonnes pratiques en documentation
Dernieres informations sur les bonnes pratiques en recherche documentaire, analyse de la documentation, moteurs de recherche,...
Curated by Stéphane Cottin

Your new post is loading...

Scooped by Stéphane Cottin

January 19, 3:04 PM

Scoop.it!

I2D Information Données et Documents. Pratiques et recherche. 2024-2. Revue de l'Adbs

From adbs.fr - January 19, 3:04 PM

Sommaire de la revue i2D publiée par l'ADBS, numéro 2024/2.

more...

No comment yet.

Scooped by Stéphane Cottin

May 9, 2:49 AM

Scoop.it!

Voter Fraud Mistake by Benjamin Plener Cover :: SSRN

From papers.ssrn.com - May 9, 2:49 AM

False narratives challenging electoral integrity often cite ineligible voting as a prime example of so-called widespread voter fraud. This Article demonstrates

more...

No comment yet.

Scooped by Stéphane Cottin

April 30, 2:45 PM

Scoop.it!

Defining Artificial Intelligence by Paul D. Weitzel :: SSRN

From papers.ssrn.com - April 30, 2:45 PM

Nations and international bodies are attempting to regulate artificial intelligence (AI), but few are able to define what artificial intelligence is. This artic

more...

No comment yet.

Scooped by Stéphane Cottin

April 28, 1:24 AM

Scoop.it!

Defining Artificial Intelligence by Paul D. Weitzel :: SSRN

From papers.ssrn.com - April 28, 1:24 AM

Nations and international bodies are attempting to regulate artificial intelligence (AI), but few are able to define what artificial intelligence is. This artic

more...

No comment yet.

Scooped by Stéphane Cottin

April 24, 1:54 AM

Scoop.it!

Responsible AI Agents by Deven R. Desai, Mark Riedl :: SSRN

From papers.ssrn.com - April 24, 1:54 AM

Thanks to advances in large language models, a new type of software agent, the artificial intelligence (AI) agent, has entered the marketplace. Companies such a

more...

No comment yet.

Scooped by Stéphane Cottin

April 20, 4:07 PM

Scoop.it!

[2504.12195] Validating and monitoring bibliographic and citation data in OpenCitations collections

From arxiv.org - April 20, 4:07 PM

Purpose. The increasing emphasis on data quantity in research infrastructures has highlighted the need for equally robust mechanisms ensuring data quality, particularly in bibliographic and citation datasets. This paper addresses the challenge of maintaining high-quality open research information within OpenCitations, a community-guided Open Science Infrastructure, by introducing tools for validating and monitoring bibliographic metadata and citation data. Methods. We developed a custom validation tool tailored to the OpenCitations Data Model (OCDM), designed to detect and explain ingestion errors from heterogeneous sources, whether due to upstream data inconsistencies or internal software bugs. Additionally, a quality monitoring tool was created to track known data issues post-publication. These tools were applied in two scenarios: (1) validating metadata and citations from Matilda, a potential future source, and (2) monitoring data quality in the existing OpenCitations Meta dataset. Results. The validation tool successfully identified a variety of structural and semantic issues in the Matilda dataset, demonstrating its precision. The monitoring tool enabled the detection of recurring problems in the OpenCitations Meta collection, as well as their quantification. Together, these tools proved effective in enhancing the reliability of OpenCitations' published data. Conclusion. The presented validation and monitoring tools represent a step toward ensuring high-quality bibliographic data in open research infrastructures, though they are limited to the data model adopted by OpenCitations. Future developments are aimed at expanding to additional data sources, with particular regard to crowdsourced data.

more...

No comment yet.

Scooped by Stéphane Cottin

April 16, 11:46 AM

Scoop.it!

Kaizen, ou l'art de transformer en douceur

From www.journaldunet.com - April 15, 11:38 AM

L'approche Kaizen est un levier concret pour engager une transition régénérative au sein des organisations, tout en conciliant performance économique et transformation progressive.

more...

No comment yet.

Scooped by Stéphane Cottin

April 16, 3:05 AM

Scoop.it!

On the Justification of Academic Freedom and of Free Speech On the University Campus by R. George Wright :: SSRN

From papers.ssrn.com - April 16, 3:05 AM

Questions of academic freedom, and of free speech on university campuses, have arisen in a variety of specific contexts, all of which this Essay ignores. Instea

more...

No comment yet.

Scooped by Stéphane Cottin

April 16, 2:25 AM

Scoop.it!

Hypertext Entity Extraction in Webpage by Yifei Yang, Tianqiao Liu, Bo Shao, Hai Zhao, Linjun Shou, Ming Gong, Daxin Jiang :: SSRN

From papers.ssrn.com - April 16, 2:25 AM

Webpage entity extraction is a fundamental natural language processing task in both research and applications. Nowadays, the majority of webpage entity extracti

more...

No comment yet.

Scooped by Stéphane Cottin

April 15, 8:37 AM

Scoop.it!

Preprints.org and PREreview deepen collaboration

From www.researchinformation.info - April 14, 10:36 AM

Submitting authors can now request community feedback directly from PREreview with a single click on Preprints.org

more...

No comment yet.

Scooped by Stéphane Cottin

April 11, 3:19 AM

Scoop.it!

The Idea of Legal Records by Doug Magendanz :: SSRN

From papers.ssrn.com - April 11, 3:19 AM

In this paper I attempt to isolate and define the specific kind of power or force that typifies legal acts. I use the idea of legal records to do this.

more...

No comment yet.

Scooped by Stéphane Cottin

April 10, 3:26 AM

Scoop.it!

Large Language Models Are Unreliable Judges by Jonathan H. Choi :: SSRN

From papers.ssrn.com - April 10, 3:26 AM

Can large language models (LLMs) serve as "AI judges" that provide answers to legal questions? I conduct the first series of empirical experiments to

more...

No comment yet.

Scooped by Stéphane Cottin

April 9, 1:42 PM

Scoop.it!

The Liabilities of Robots.Txt by Chien-Yi Chang, Xin He :: SSRN

From papers.ssrn.com - April 9, 1:42 PM

The robots.txt file, introduced as part of the Robots Exclusion Protocol in 1994, provides webmasters with a mechanism to communicate access permissions to auto

more...

No comment yet.

Scooped by Stéphane Cottin

April 9, 8:58 AM

Scoop.it!

Improving bibliographic coupling and co-citation: A study evaluating the effects of various full-text citation features - Ruhao Zhang, Junpeng Yuan, 2025

From journals.sagepub.com - April 9, 8:58 AM

Classical methods for mapping domain knowledge structures, namely bibliographic coupling (BC) and co-citation (CC) analyses, rely on co-reference or CC counts, which may lack precision an

more...

No comment yet.

Scooped by Stéphane Cottin

April 8, 7:03 PM

Scoop.it!

AI Authorship: A Case of History Repeating Itself? by Zvi S. Rosen :: SSRN

From papers.ssrn.com - April 8, 7:03 PM

The idea of computers creating works which might be copyrightable (be it called AI, computational creativity, algorithmic authorship, or anything else) is ol

more...

No comment yet.

Scooped by Stéphane Cottin

April 8, 12:51 PM

Scoop.it!

Generative AI Content Misuse And The DSA by Ioannis Revolidis :: SSRN

From papers.ssrn.com - April 8, 12:51 PM

This paper explores the challenges posed by Generative AI applications, particularly their potential to produce fake news, misinformation, and disinformation, t

more...

No comment yet.

Scooped by Stéphane Cottin

April 8, 5:18 AM

Scoop.it!

Test de Turing : cette IA a convaincu beaucoup de gens qu'elle est humaine

From www.lebigdata.fr - April 7, 12:30 PM

GPT-4.5 a réussi un test de Turing en étant pris pour un humain dans 73 % des cas. Les chercheurs sont troublés.

more...

No comment yet.

Scooped by Stéphane Cottin

April 8, 5:17 AM

Scoop.it!

Livre blanc — Une Science ouverte dans une République numérique - OpenEdition Press

From books.openedition.org - April 7, 10:29 PM

A l’heure où le projet de loi « pour une République numérique » propose l’insertion dans le Code de la recherche de dispositions relatives à l’open access, le Centre national de la recherche scientifique (CNRS), aux côtés de ses partenaires dans le projet ISTEX ainsi que d’un grand nombre de...

more...

No comment yet.

Scooped by Stéphane Cottin

April 8, 5:16 AM

Scoop.it!

The Right to Rectification and Inferred Personal Data by Andreas Häuselmann, Bart Custers :: SSRN

From papers.ssrn.com - April 8, 5:16 AM

Inferred data, such as predictions and emotional states, may have limited accuracy or may even be incorrect from the perspective of data subjects. According to

more...

No comment yet.

Scooped by Stéphane Cottin

March 27, 4:23 AM

Scoop.it!

Accessing and Using Data for AI Systems by Zee Kin Yeong :: SSRN

From papers.ssrn.com - March 27, 4:23 AM

This paper discusses the copyright and data protection issues relating to accessing and using data for AI systems. The discussion commences with the issues rela

more...

No comment yet.

Scooped by Stéphane Cottin

March 26, 7:13 AM

Scoop.it!

[1706.03762] Attention Is All You Need . Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin. Google Research

From arxiv.org - March 26, 7:13 AM

The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 English-to-German translation task, improving over the existing best results, including ensembles by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.8 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature. We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data.

Stéphane Cottin's insight:

L'article scientifique « L'attention est tout ce dont vous avez besoin » a présenté le Transformer, une nouvelle architecture de réseau neuronal qui facilite la compréhension du langage. Avant le Transformer, les machines n’étaient pas très douées pour comprendre des phrases longues car elles étaient incapables de distinguer les relations entre des mots éloignés les uns des autres. Le Transformer a changé la donne, devenant la pierre angulaire des systèmes de compréhension du langage et d’IA générative les plus impressionnants aujourd’hui. Traduction, synthèse de texte, réponses aux questions et même génération d’images et robotique : le Transformer a révolutionné la manière dont les machines effectuent toutes ces actions.

more...

No comment yet.

Scooped by Stéphane Cottin

March 26, 2:58 AM

Scoop.it!

Artificial Intelligence for Newbies: Learn the Basics Without the Jargon by Enrique Ballesteros :: SSRN

From papers.ssrn.com - March 26, 2:58 AM

Artificial Intelligence (AI) is transforming industries, automating processes, and personalizing experiences worldwide. However, for many, AI remains a co

more...

No comment yet.

Scooped by Stéphane Cottin

March 17, 1:16 PM

Scoop.it!

Dématique et SAE (38): Du responsable du service d’archivage électronique

From archivistesqc.wordpress.com - March 17, 7:00 AM

Par Antony Belin Note au lecteur : Les article de lois cités ici font référence au contexte juridique français. Différents cas sont possibles concernant la mise-en-place d’un système d’archivage électronique (SAE), qu’il s’agisse de l’Autorité juridique (entité, organisme, collectivité…) propriétaire des données déposées, Autorité d’archivage (AA), ou d’un prestataire tiers-archiveur, Autorité de tiers-archivage (ATA), le tout…

more...

No comment yet.

Scooped by Stéphane Cottin

March 14, 3:16 AM

Scoop.it!

CEUR-WS.org/Vol-3937 - Proceedings of IRCDL 2025

From ceur-ws.org - March 14, 3:16 AM

more...

No comment yet.

Scooped by Stéphane Cottin

March 14, 2:34 AM

Scoop.it!

Digital Constitutionalism by Oreste Pollicino, Federica Paolucci :: SSRN

From papers.ssrn.com - March 14, 2:34 AM

This chapter examines the European Union’s Artificial Intelligence Act (AI Act) through the framework of digital constitutionalism. It explores how the AI

more...

No comment yet.

Scooped by Stéphane Cottin

March 13, 2:36 PM

Scoop.it!

[2503.05388] Ontology Generation using Large Language Models

From arxiv.org - March 13, 2:36 PM

The ontology engineering process is complex, time-consuming, and error-prone, even for experienced ontology engineers. In this work, we investigate the potential of Large Language Models (LLMs) to provide effective OWL ontology drafts directly from ontological requirements described using user stories and competency questions. Our main contribution is the presentation and evaluation of two new prompting techniques for automated ontology development: Memoryless CQbyCQ and Ontogenia. We also emphasize the importance of three structural criteria for ontology assessment, alongside expert qualitative evaluation, highlighting the need for a multi-dimensional evaluation in order to capture the quality and usability of the generated ontologies. Our experiments, conducted on a benchmark dataset of ten ontologies with 100 distinct CQs and 29 different user stories, compare the performance of three LLMs using the two prompting techniques. The results demonstrate improvements over the current state-of-the-art in LLM-supported ontology engineering. More specifically, the model OpenAI o1-preview with Ontogenia produces ontologies of sufficient quality to meet the requirements of ontology engineers, significantly outperforming novice ontology engineers in modelling ability. However, we still note some common mistakes and variability of result quality, which is important to take into account when using LLMs for ontology authoring support. We discuss these limitations and propose directions for future research.