Tootfinder

ChatGPT-4o, Claude 3.7 Sonnet, Gemini 2.0 Flash, Llama 4, and Copilot comparison: Claude was the best overall with the highest consistency and no hallucinations (Geoffrey A. Fowler/Washington Post)
https://www.washingtonpost.com/technology/

Review | 5 AI bots took our tough reading test. One was smartest — and it wasn’t ChatGPT.
We challenged AI helpers to decode legal contracts, simplify medical research, speed-read a novel and make sense of Trump speeches. Some of the AI analysis was impressive — and some was downright dumb.

The FOMO about the 10-year University of Cambridge REAL Centre Anniversary Celebration Conference is *real*.
If you can't be there in person, join online.
Incredible lineup.
12 June 2025
https://www.eventbrite.co…

This https://arxiv.org/abs/2506.00202 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

What do professional software developers need to know to succeed in an age of Artificial Intelligence?
Generative AI is showing early evidence of productivity gains for software developers, but concerns persist regarding workforce disruption and deskilling. We describe our research with 21 developers at the cutting edge of using AI, summarizing 12 of their work goals we uncovered, together with 75 associated tasks and the skills & knowledge for each, illustrating how developers use AI at work. From all of these, we distilled our findings in the form of 5 insights. We found that the skills & know…

Automated Mechanism to Support Trade Transactions in Smart Contracts with Upgrade and Repair
Christian Gang Liu, Peter Bodorik, Dawn Jutla
https://arxiv.org/abs/2506.03877

Automated Mechanism to Support Trade Transactions in Smart Contracts with Upgrade and Repair
In our previous research, we addressed the problem of automated transformation of models, represented using the business process model and notation (BPMN) standard, into the methods of a smart contract. The transformation supports BPMN models that contain complex multi-step activities that are supported using our concept of multi-step nested trade transactions, wherein the transactional properties are enforced by a mechanism generated automatically by the transformation process from a BPMN mode…

“TNC is where it all comes to life.”

In this video message, our CEO Lise Fuhr shares excitement ahead of her very first TNC, and why this global gathering matters so much to our Research & Education community.

Watch her personal welcome message below, as we all get ready for next week’s #TNC25 in Brighton 🇬🇧

And if you’re not coming in person, don’t forget to g…

This https://arxiv.org/abs/2505.03793 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
The proliferation of open-sourced Large Language Models (LLMs) and diverse downstream tasks necessitates efficient model selection, given the impracticality of fine-tuning all candidates due to computational constraints. Despite the recent advances in LLM selection, a fundamental research question largely remains nascent: how can we model the dynamic behaviors of LLMs during fine-tuning, thereby enhancing our understanding of their generalization performance across diverse downstream tasks? In …

This https://arxiv.org/abs/2503.24160 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

A Comparative Study of Scanpath Models in Graph-Based Visualization
Information Visualization (InfoVis) systems utilize visual representations to enhance data interpretation. Understanding how visual attention is allocated is essential for optimizing interface design. However, collecting Eye-tracking (ET) data presents challenges related to cost, privacy, and scalability. Computational models provide alternatives for predicting gaze patterns, thereby advancing InfoVis research. In our study, we conducted an ET experiment with 40 participants who analyzed graphs…

At the Max Planck Institute for Solar System Research, we do cutting edge scientific research on our Sun, the planets and their moons, asteroids and comets. Posts will be in English und manchmal auch auf Deutsch.
#mpsgoettingen #introduction

Graph-Embedding Empowered Entity Retrieval
Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries
https://arxiv.org/abs/2506.03895 https://

Graph-Embedding Empowered Entity Retrieval
In this research, we investigate methods for entity retrieval using graph embeddings. While various methods have been proposed over the years, most utilize a single graph embedding and entity linking approach. This hinders our understanding of how different graph embedding and entity linking methods impact entity retrieval. To address this gap, we investigate the effects of three different categories of graph embedding techniques and five different entity linking methods. We perform a reranking…

Excited to report that our script to help the public contact elected officials to demand they intervene and end #censorship has been added to 5calls.org! Make your calls today to #DefendResearch! Pass this along to your community!

This https://arxiv.org/abs/2505.19988 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Automatic Metadata Extraction for Text-to-SQL
Large Language Models (LLMs) have recently become sophisticated enough to automate many tasks ranging from pattern finding to writing assistance to code generation. In this paper, we examine text-to-SQL generation. We have observed from decades of experience that the most difficult part of query development lies in understanding the database contents. These experiences inform the direction of our research. Text-to-SQL benchmarks such as SPIDER and Bird contain extensive metadata that is gener…

#today there has been tidying of some of the externals for the heat pump (but they were not entirely met with delight), I mowed our tiny lawns, and made a little progress on the #research modeling and at least have some mechanical (if slightly mind-bending) stuff to work through...

Human-In-The-Loop Workflow for Neuro- Symbolic Scholarly Knowledge Organization
Lena John, Tim Wittenborg, S\"oren Auer, Oliver Karras
https://arxiv.org/abs/2506.03221

Human-In-The-Loop Workflow for Neuro- Symbolic Scholarly Knowledge Organization
As the volume of scientific literature continues to grow, efficient knowledge organization is an increasingly challenging task. Traditional structuring of scientific content is time-consuming and requires significant domain expertise, increasing the need for tool support. Our goal is to create a Human-in-the-Loop (HITL) workflow that supports researchers in creating and structuring scientific knowledge, leveraging neural models and knowledge graphs, exemplified using the Open Research Knowledge…

CFP> World Genealogy: Knowledge, Kinship and Ancestors in Global and Historical Perspective (June 2026 / Hamburg, Germany)
https://ift.tt/3R79DJV
When did aliens become a problem? The Mediterranean Association for Marine Biology and Oceanology in…
via Input 4 RELCFP

The @… Parking Reform Network is looking for a summer research intern (remote work), deadline June 2.
https://parkingreform.org/work-or-volu

Research Internship at PRN
We are hiring a research intern! This position is full time, remote, funded for 10 weeks, and reports to our policy director, Daniel Herriges.

Transforming Automatically BPMN Models to Smart Contracts with Nested Collaborative Transactions (TABS )
Christian Gang Liu, Peter Bodorik, Dawn Jutla
https://arxiv.org/abs/2506.02727

Transforming Automatically BPMN Models to Smart Contracts with Nested Collaborative Transactions (TABS+)
Development of blockchain smart contracts is more difficult than mainstream software development because the underlying blockchain infrastructure poses additional complexity. To ease the developer's task of writing smart contract, as other research efforts, we also use Business Process Model and Notation BPMN modeling to describe application requirements for trade of goods and services and then transform automatically the BPMN model into the methods of a smart contract. In our previous research…

This https://arxiv.org/abs/2302.11862 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Bounds on Functionality and Symmetric Difference -- Two Intriguing Graph Parameters
Functionality ($\mathrm{fun}$) is a graph parameter that generalizes graph degeneracy defined by Alecu et al. [JCTB, 2021]. They research the relation of functionality to many other graphs parameters (tree-width, clique-width, VC-dimension, etc.). Extending their research, we completely characterize the functionality of random graph $G(n,p)$ for all possible $p$. We provide matching (up to a constant factor) lower and upper bound for a large range of $p$. It follows from our bounds for $G(n,p)$…

PartialEdit: Identifying Partial Deepfakes in the Era of Neural Speech Editing
You Zhang, Baotong Tian, Lin Zhang, Zhiyao Duan
https://arxiv.org/abs/2506.02958

PartialEdit: Identifying Partial Deepfakes in the Era of Neural Speech Editing
Neural speech editing enables seamless partial edits to speech utterances, allowing modifications to selected content while preserving the rest of the audio unchanged. This useful technique, however, also poses new risks of deepfakes. To encourage research on detecting such partially edited deepfake speech, we introduce PartialEdit, a deepfake speech dataset curated using advanced neural editing techniques. We explore both detection and localization tasks on PartialEdit. Our experiments reveal …

A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering
Madan Krishnamurthy, Daniel Korn, Melissa A Haendel, Christopher J Mungall, Anne E Thessen
https://arxiv.org/abs/2506.02160

A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering
This research aims to develop a dynamic and scalable framework to facilitate harmonization of Common Data Elements (CDEs) across heterogeneous biomedical datasets by addressing challenges such as semantic heterogeneity, structural variability, and context dependence to streamline integration, enhance interoperability, and accelerate scientific discovery. Our methodology leverages Large Language Models (LLMs) for context-aware text embeddings that convert CDEs into dense vectors capturing semant…

What do professional software developers need to know to succeed in an age of Artificial Intelligence?
Matthew Kam, Cody Miller, Miaoxin Wang, Abey Tidwell, Irene A. Lee, Joyce Malyn-Smith, Beatriz Perez, Vikram Tiwari, Joshua Kenitzer, Andrew Macvean, Erin Barrar
https://arxiv.org/abs/2506.00202…

What do professional software developers need to know to succeed in an age of Artificial Intelligence?
Generative AI is showing early evidence of productivity gains for software developers, but concerns persist regarding workforce disruption and deskilling. We describe our research with 21 developers at the cutting edge of using AI, summarizing 12 of their work goals we uncovered, together with 75 associated tasks and the skills & knowledge for each, illustrating how developers use AI at work. From all of these, we distilled our findings in the form of 5 insights. We found that the skills & know…

Multicontinuum splitting schemes for multiscale wave problems
Mohsen Alshahrani, Buzheng Shan
https://arxiv.org/abs/2506.01670 https://

Multicontinuum splitting schemes for multiscale wave problems
In this work, we propose multicontinuum splitting schemes for the wave equation with a high-contrast coefficient, extending our previous research on multiscale flow problems. The proposed approach consists of two main parts: decomposing the solution space into distinct components, and designing tailored time discretization schemes to enhance computational efficiency. To achieve the decomposition, we employ a multicontinuum homogenization method to introduce physically meaningful macroscopic var…

World Genealogy: Knowledge, Kinship and Ancestors in Global and Historical Perspective (June 2026 / Hamburg, Germany) https://networks.h-net.org/group/announcements/20069800/world-genealogy-knowledge-kinship-and-ancestor…

Share of news influencers on Bluesky has doubled after the 2024 US election to 43%, but X remains popular, with 82% of news influencers maintaining an account (Pew Research Center)
https://www.pewresearch.org/short-reads/20

Bluesky has caught on with many news influencers, but X remains popular
The share of news influencers in our sample with a Bluesky account roughly doubled in the four months after Election Day 2024, from 21% beforehand to 43% by March.

According to the folks at Messente, here are the top AI-crackable four digit PINs.
https://messente.com/blog/most-vulnerable-pins

It Takes 0.44 Seconds to Crack These PINs - Are You Using One?
The security level of 4-digit code remains uncertain. Our research found that it takes 0.44 seconds for AI to crack your PIN.

#today I had a nice hot bath once everyone else had left the house, with water heated by our roof solar via our heat battery.
I have accidentally done something a little like #research work today: a diagram for the experiment and subsequent paper(s). Not a very good diagram, but better than n…

We're recruiting on our MSc Sociology and Data Analytics for next September at the University of Limerick @…

This MSc offers in depth knowledge of sociological analysis, research… | Faculty of Arts, Humanities and Social Sciences, University of Limerick
This MSc offers in depth knowledge of sociological analysis, research methods and social science analytics - including high level training in data, data science, and data mining, and a range of sequenced topics that include crime, law, and deviance, culture and media, health and well-being, political analysis and social movements, and stratification and social inequality. The combination of high level training in research methods and robust exposure to core topics in Sociology and the Social …

Share of news influencers on Bluesky has doubled after the 2024 US election to 43%, but X remains popular, with 82% of news influencers maintaining an account (Pew Research Center)
https://www.pewresearch.org/short-reads/20

Bluesky has caught on with many news influencers, but X remains popular
The share of news influencers in our sample with a Bluesky account roughly doubled in the four months after Election Day 2024, from 21% beforehand to 43% by March.

Attractor learning for spatiotemporally chaotic dynamical systems using echo state networks with transfer learning
Mohammad Shah Alam, William Ott, Ilya Timofeyev
https://arxiv.org/abs/2505.24099

Attractor learning for spatiotemporally chaotic dynamical systems using echo state networks with transfer learning
In this paper, we explore the predictive capabilities of echo state networks (ESNs) for the generalized Kuramoto-Sivashinsky (gKS) equation, an archetypal nonlinear PDE that exhibits spatiotemporal chaos. We introduce a novel methodology that integrates ESNs with transfer learning, aiming to enhance predictive performance across various parameter regimes of the gKS model. Our research focuses on predicting changes in long-term statistical patterns of the gKS model that result from varying the d…

CFP> World Genealogy: Knowledge, Kinship and Ancestors in Global and Historical Perspective (June 2026 / Hamburg, Germany) https://networks.h-net.org/group/announcements/20069799/world-genealogy-knowledge-kinship-and-…

This https://arxiv.org/abs/2011.04524 has been replaced.
link: https://scholar.google.com/scholar?q=a

The homology of permutation racks
Despite a blossoming of research activity on racks and their homology for over two decades, with a record of diverse applications to central parts of contemporary mathematics, there are still very few examples of racks whose homology has been fully calculated. In this paper, we compute the entire integral homology of all permutation racks. Our method of choice involves homotopical algebra, which was brought to bear on the homology of racks only recently. For our main result, we establish a spec…

📣 Another great milestone for the #GÉANT project!
The GN5-1 project has successfully completed its final review by the European Commission—recognising strong performance, technical achievements, and commitment to innovation and sustainability, all aligned with the Horizon Europe programme’s goals.
👏 A big thank you to all contributors involved. Your dedication continues to drive our …

GÉANT’s GN5-1 Project completes another successful EC Review | GÉANT CONNECT Online
GÉANT’s GN5-1 project has successfully completed the Period 2 review by the European Commission (EC), marking another key milestone in the project’s continued delivery of cutting-edge networking and collaboration services to Europe’s research and education community. The review, which took place at the end of March 2025, covered the second reporting period of the project.

Temporally Extending Existing Web Archive Collections for Longitudinal Analysis
Lesley Frew, Michael L. Nelson, Michele C. Weigle
https://arxiv.org/abs/2505.24091

Temporally Extending Existing Web Archive Collections for Longitudinal Analysis
The Environmental Governance and Data Initiative (EDGI) regularly crawled US federal environmental websites between 2016 and 2020 to capture changes between two presidential administrations. However, because it does not include the previous administration ending in 2008, the collection is unsuitable for answering our research question, Were the website terms deleted by the Trump administration (2017--2021) added by the Obama administration (2009--2017)? Thus, like many researchers using the Way…

Explaining interested people in Karlsruhe about our research on the challenges & opportunities of the digitalisation of the more than 100km of archival documents of the recompensation process of nationalsocialist injustice
#digitalisierung @…

This https://arxiv.org/abs/2410.19064 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents
With the growing spread of misinformation online, understanding how true news evolves into fake news has become crucial for early detection and prevention. However, previous research has often assumed fake news inherently exists rather than exploring its gradual formation. To address this gap, we propose FUSE (Fake news evolUtion Simulation framEwork), a novel Large Language Model (LLM)-based simulation approach explicitly focusing on fake news evolution from real news. Our framework model a so…

Multidimensional Assessment of Public Space Quality: A Comprehensive Framework Across Urban Space Typologies
Mary John, Sherzod Turaev, Saja Al-Dabet, Rawad Abdulghafor
https://arxiv.org/abs/2505.21555

Multidimensional Assessment of Public Space Quality: A Comprehensive Framework Across Urban Space Typologies
This study presents a comprehensive framework for evaluating the quality of public spaces across various urban typologies. Through a systematic review of 159 research studies, we identify universal quality factors that transcend spatial types as well as specialized factors unique to specific public environments. Our findings establish accessibility (73.6%), safety/security (58.4%), and comfort (52.8%) as foundational requirements across all public space types, while revealing distinct quality p…

This https://arxiv.org/abs/2505.03458 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

The classification of Alzheimer's disease and mild cognitive impairment improved by dynamic functional network analysis
Brain network analysis using functional MRI has advanced our understanding of cortical activity and its changes in neurodegenerative disorders that cause dementia. Recently, research in brain connectivity has focused on dynamic (time-varying) brain networks that capture both spatial and temporal information on cortical, regional co-activity patterns. However, this approach has been largely unexplored within the Alzheimer's spectrum. We analysed age- and sex-matched static and dynamic fMRI brain…

World Genealogy: Knowledge, Kinship and Ancestors in Global and Historical Perspective (June 2026 / Hamburg, Germany)
https://ift.tt/3as6Lt5
When did aliens become a problem? The Mediterranean Association for Marine Biology and Oceanology in…
via Input 4 RELCFP

Looking forward to presenting our experience with the Journal of Comments and Replications in Economics at the Replication Research Syposium in Münster this week https://nerdculture.de/@aufdroeseler/114495559181898768 .

How a PhD student’s lab size affects their chance of future academic success - Coverage of our recent paper by Nature News
https://www.nature.com/articles/d41586-025-00644-9

ChatPD: An LLM-driven Paper-Dataset Networking System
Anjie Xu, Ruiqing Ding, Leye Wang
https://arxiv.org/abs/2505.22349 https://arxi…

ChatPD: An LLM-driven Paper-Dataset Networking System
Scientific research heavily depends on suitable datasets for method validation, but existing academic platforms with dataset management like PapersWithCode suffer from inefficiencies in their manual workflow. To overcome this bottleneck, we present a system, called ChatPD, that utilizes Large Language Models (LLMs) to automate dataset information extraction from academic papers and construct a structured paper-dataset network. Our system consists of three key modules: \textit{paper collection},…

If you ever wonder why our lab stays motivated to research stuttering, or whether funding for speech research is justified, just watch this very powerful video by Drew Lynch: #Research #Funding #Science #Stuttering #NIDCD #NIH

What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews
Quim Motger, Marc Oriol, Max Tiessler, Xavier Franch, Jordi Marco
https://arxiv.org/abs/2505.23452

What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews
Opinion mining plays a vital role in analysing user feedback and extracting insights from textual data. While most research focuses on sentiment polarity (e.g., positive, negative, neutral), fine-grained emotion classification in app reviews remains underexplored. This paper addresses this gap by identifying and addressing the challenges and limitations in fine-grained emotion analysis in the context of app reviews. Our study adapts Plutchik's emotion taxonomy to app reviews by developing a str…

This https://arxiv.org/abs/2505.15588 has been replaced.
initial toot: https://mastoxiv.page/@arX…

EPBench: A Benchmark for Short-term Earthquake Prediction with Neural Networks
Since the beginning of this century, the significant advancements in artificial intelligence and neural networks have offered the potential to bring new transformations to short-term earthquake prediction research. However, currently, there is no widely used benchmark for this task. To address this, we have built a new benchmark (EPBench), which is, to our knowledge, the first global regional-scale short-term earthquake prediction benchmark. Our benchmark comprises 924,472 earthquake records an…

What might the future of research and education networking look like?
“Foresight 2030: Navigating Change” report explores 9 key challenges, 3 possible futures, and one key takeaway: change is coming, and collaboration is our strength.
📖 Read the article by Charles Hutchings, Raimundas Tuminauskas & Beatrix Weber −

Foresight 2030 – Navigating Change | GÉANT CONNECT Online
“Foresight 2030 is a great example of what NRENs do best: collaborate for the benefit of the unique and crucial digital infrastructure which supports research and education and the benefit they bring to science and learning, communities and economies internationally. The report demonstrates the reach and significance of the technical expertise NRENs convene within and

Ranked: The Countries Investing the Most in R&D
#Ireland's 1.6% is appaling, given our relative wealth. It ensures our extreme reliance on other states is only likely to increase.
We need a different mindset on spending on R&D and most infrastructure. Housing is the short-term focus, but even if it was solved overnight, this other underspending will block growth and keep us in crisis for the foreseeable future.
#innovation #research #investment

Courage to all who keep getting up everyday and try to make some part of what we're living a little better.
Whether it's teaching, talking, writing, upholding ethics in our daily work - thank you.
There's a reason that education, research, and academia are targeted in such times.
A luta continua.
#AcademicChatter

🌍🛰️ How do NRENs & RRENs support Earth Observation research?
At our April infoshare with the Group on Earth Observations (GEO), RedCLARA & ASREN, we explored how R&E networks enable Earth Observation research, supporting data access, policy, training, and cross-border collaboration.
Daniela Brauner also shared these insights at GEO Global Forum 2025 last week.
📅 Don’t miss Part 2 of the infoshare series on 27 May!
🔗 Register today:

Infoshare Series on Earth Observations Support Through NRENs - Part 2

EPBench: A Benchmark for Short-term Earthquake Prediction with Neural Networks
Zhiyu Xu, Qingliang Chen
https://arxiv.org/abs/2505.15588 https://

EPBench: A Benchmark for Short-term Earthquake Prediction with Neural Networks
Since the beginning of this century, the significant advancements in artificial intelligence and neural networks have offered the potential to bring new transformations to short-term earthquake prediction research. However, currently, there is no widely used benchmark for this task. To address this, we have built a new benchmark (EPBench), which is, to our knowledge, the first global regional-scale short-term earthquake prediction benchmark. Our benchmark comprises 924,472 earthquake records an…

✨ Spring SIGs wrapped! ✨
From Prague to Paris to Ispra, 4 GÉANT Special Interest Groups (SIGs) met to explore AI, Time & Frequency networks, service strategy development, and network operations.
Spring days packed with great ideas, useful insights, new collaborations, and our beloved Lightning Talks.
👏 Big thanks to CESNET, RENATER, EC JRC & all who joined in-person and online.
Catch up on all the highlights and takeaways here 👉

GÉANT Community Programme | GÉANT CONNECT Online
The GÉANT community programme supports research and education through the activities of Special Interest Groups and Task Forces and connects academia, the business community and governmental organisations.