Tootfinder

Towards culturally-appropriate conversational AI for health in the majority world: An exploratory study with citizens and professionals in Latin America
Dorian Peters, Fernanda Espinoza, Marco da Re, Guido Ivetta, Luciana Benotti, Rafael A. Calvo
https://arxiv.org/abs/2507.01719

Towards culturally-appropriate conversational AI for health in the majority world: An exploratory study with citizens and professionals in Latin America
There is justifiable interest in leveraging conversational AI (CAI) for health across the majority world, but to be effective, CAI must respond appropriately within culturally and linguistically diverse contexts. Therefore, we need ways to address the fact that current LLMs exclude many lived experiences globally. Various advances are underway which focus on top-down approaches and increasing training data. In this paper, we aim to complement these with a bottom-up locally-grounded approach bas…

Feasibility study of single top-quark and top-quark pair production in association with a Higgs Boson and a Photon at the LHC
Ashfaq Ahmad, Kamran Ahmad, Shoaib Ahmad Khan
https://arxiv.org/abs/2505.23919

Feasibility study of single top-quark and top-quark pair production in association with a Higgs Boson and a Photon at the LHC
A feasibility study for the Standard Model Higgs boson produced in association with a single top-quark or a top-quark pair and a photon (\tHa\, and \ttHa) is presented, using simulated pp collision data corresponding to an integrated luminosity of 350 fb$^{-1}$ at $\sqrt{s}=13.6$ TeV. This study was conducted using simulated data generated with MadGraph. The study was performed in the context of the CMS experiment, where detector effects were incorporated using Delphes. Final states are selecte…

Series B, Episode 05 - Pressure Point
JENNA: It's over an hour since our last contact.
CALLY: It can't be a communicator fault.
JENNA: Not on all four bracelets, no.
CALLY: What do you think has happened?
JENNA: They've run into trouble.
https://blake.torpidity.net/m/205/407

Blakes7Bot | Search
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Novel Benchmark for NER in the Wastewater and Stormwater Domain
Franco Alberto Cardillo, Franca Debole, Francesca Frontini, Mitra Aelami, Nan\'ee Chahinian, Serge Conrad
https://arxiv.org/abs/2506.01938

Novel Benchmark for NER in the Wastewater and Stormwater Domain
Effective wastewater and stormwater management is essential for urban sustainability and environmental protection. Extracting structured knowledge from reports and regulations is challenging due to domainspecific terminology and multilingual contexts. This work focuses on domain-specific Named Entity Recognition (NER) as a first step towards effective relation and information extraction to support decision making. A multilingual benchmark is crucial for evaluating these methods. This study deve…

A studentized permutation test for the treatment effect in individual participant data meta-analysis
Phuc Thien Tran, Long-Hao Xu, Christian R\"over, Tim Friede
https://arxiv.org/abs/2505.24774

A studentized permutation test for the treatment effect in individual participant data meta-analysis
Meta-analysis is a well-established tool used to combine data from several independent studies, each of which usually compares the effect of an experimental treatment with a control group. While meta-analyses are often performed using aggregated study summaries, they may also be conducted using individual participant data (IPD). Classical meta-analysis models may be generalized to handle continuous IPD by formulating them within a linear mixed model framework. IPD meta-analyses are commonly bas…

In-context learning for the classification of manipulation techniques in phishing emails
Antony Dalmiere (LAAS-TRUST, LAAS), Guillaume Auriol (LAAS-TRUST, INSA Toulouse), Vincent Nicomette (LAAS-TSF, LAAS), Pascal Marchand (LERASS)
https://arxiv.org/abs/2506.22515

In-context learning for the classification of manipulation techniques in phishing emails
Traditional phishing detection often overlooks psychological manipulation. This study investigates using Large Language Model (LLM) In-Context Learning (ICL) for fine-grained classification of phishing emails based on a taxonomy of 40 manipulation techniques. Using few-shot examples with GPT-4o-mini on real-world French phishing emails (SignalSpam), we evaluated performance against a human-annotated test set (100 emails). The approach effectively identifies prevalent techniques (e.g., Baiting, …

Aligning Protein Conformation Ensemble Generation with Physical Feedback
Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Aur\'elie Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang
https://arxiv.org/abs/2505.24203

Aligning Protein Conformation Ensemble Generation with Physical Feedback
Protein dynamics play a crucial role in protein biological functions and properties, and their traditional study typically relies on time-consuming molecular dynamics (MD) simulations conducted in silico. Recent advances in generative modeling, particularly denoising diffusion models, have enabled efficient accurate protein structure prediction and conformation sampling by learning distributions over crystallographic structures. However, effectively integrating physical supervision into these d…

Exploring Artificial Intelligence Tutor Teammate Adaptability to Harness Discovery Curiosity and Promote Learning in the Context of Interactive Molecular Dynamics
Mustafa Demir, Jacob Miratsky, Jonathan Nguyen, Chun Kit Chan, Punya Mishra, Abhishek Singharoy
https://arxiv.org/abs/2506.22520

Exploring Artificial Intelligence Tutor Teammate Adaptability to Harness Discovery Curiosity and Promote Learning in the Context of Interactive Molecular Dynamics
This study examines the impact of an Artificial Intelligence tutor teammate (AI) on student curiosity-driven engagement and learning effectiveness during Interactive Molecular Dynamics (IMD) tasks on the Visual Molecular Dynamics platform. It explores the role of the AI's curiosity-triggering and response behaviors in stimulating and sustaining student curiosity, affecting the frequency and complexity of student-initiated questions. The study further assesses how AI interventions shape student …

Series D, Episode 05 - Animals
DAYNA: Set.
TARRANT: Good luck.
[Dayna teleports to the surface of Bucol Two. Looks around]
DAYNA: [Into bracelet] Scorpio. Down safe.
TARRANT: [Voice over] Right, standing by. Let me know when you make contact.
https://blake.torpidity.net/m/405/3

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Series D, Episode 05 - Animals
DAYNA: Set.
TARRANT: Good luck.
[Dayna teleports to the surface of Bucol Two. Looks around]
DAYNA: [Into bracelet] Scorpio. Down safe.
TARRANT: [Voice over] Right, standing by. Let me know when you make contact.
https://blake.torpidity.net/m/405/3

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.