Tootfinder

Empowering Iterative Graph Alignment Using Heat Diffusion
Boyan Wang, Weijie Feng, Jinyang Huang, Dan Guo, Zhi Liu
https://arxiv.org/abs/2506.17640 https:/…

Empowering Iterative Graph Alignment Using Heat Diffusion
Unsupervised plain graph alignment (UPGA) aims to align corresponding nodes across two graphs without any auxiliary information. Existing UPGA methods rely on structural consistency while neglecting the inherent structural differences in real-world graphs, leading to biased node representations. Moreover, their one-shot alignment strategies lack mechanisms to correct erroneous matches arising from inaccurate anchor seeds. To address these issues, this paper proposes IterAlign, a novel parameter…

Text-to-SPARQL Goes Beyond English: Multilingual Question Answering Over Knowledge Graphs through Human-Inspired Reasoning
Aleksandr Perevalov, Andreas Both
https://arxiv.org/abs/2507.16971

Text-to-SPARQL Goes Beyond English: Multilingual Question Answering Over Knowledge Graphs through Human-Inspired Reasoning
Accessing knowledge via multilingual natural-language interfaces is one of the emerging challenges in the field of information retrieval and related ones. Structured knowledge stored in knowledge graphs can be queried via a specific query language (e.g., SPARQL). Therefore, one needs to transform natural-language input into a query to fulfill an information need. Prior approaches mostly focused on combining components (e.g., rule-based or neural-based) that solve downstream tasks and come up wi…

Weighted Assumption Based Argumentation to reason about ethical principles and actions
Paolo Baldi, Fabio Aurelio D'Asaro, Abeer Dyoub, Francesca Alessandra Lisi
https://arxiv.org/abs/2506.18056

Weighted Assumption Based Argumentation to reason about ethical principles and actions
We augment Assumption Based Argumentation (ABA for short) with weighted argumentation. In a nutshell, we assign weights to arguments and then derive the weight of attacks between ABA arguments. We illustrate our proposal through running examples in the field of ethical reasoning, and present an implementation based on Answer Set Programming.

Shaping Boundaries to Control and Transport Topological Defects in Colloidal Nematic Liquid Crystals
Gerardo Campos-Villalobos, Andr\'e F. V. Matias, Ethan I. L. Jull, Lisa Tran, Marjolein Dijkstra
https://arxiv.org/abs/2506.18664

Shaping Boundaries to Control and Transport Topological Defects in Colloidal Nematic Liquid Crystals
Anisotropic rod-like particles form liquid crystalline phases with varying degrees of orientational and translational order. When confined geometrically, these phases can give rise to topological defects, which can be selected and controlled by tuning how the rods align near boundaries, known as anchoring. While anchoring in molecular liquid crystals can be controlled through surface functionalization, this approach is not easily applicable to microscale colloidal systems, which have so far bee…

A Hybrid Early-Exit Algorithm for Large Language Models Based on Space Alignment Decoding (SPADE)
Bowen Zheng, Ming Ma, Zhongqiao Lin, Tianming Yang
https://arxiv.org/abs/2507.17618

A Hybrid Early-Exit Algorithm for Large Language Models Based on Space Alignment Decoding (SPADE)
Large language models are computationally expensive due to their deep structures. Prior research has shown that intermediate layers contain sufficient information to generate accurate answers, leading to the development of early-exit algorithms that reduce inference costs by terminating computation at earlier layers. However, these methods often suffer from poor performance due to misalignment between intermediate and output layer representations that lead to decoding inaccuracy. To address the…

In case you didn't know: "EXCLUSIVE: Warner, Kaine, Beyer demand answers on NSF’s forced exit from Alexandria headquarters" https://www.alxnow.com/2025/06/27/exclusive-warner-kaine-beyer-demand…

EXCLUSIVE: Warner, Kaine, Beyer demand answers on NSF’s forced exit from Alexandria headquarters | ALXnow
Alexandria's congressional delegation is escalating pressure on federal officials regarding the controversial decision to relocate the National Science Foundation (NSF) from its Alexandria headquarters to accommodate the Department of Housing and Urban Development (HUD), according to a letter obtained exclusively by ALXnow. Just one day after Senator Mark Warner criticized the move and demanded a

Collective effects of neighbouring melting ice objects
Sof\'ia Angriman, Detlef Lohse, Roberto Verzicco, Sander G. Huisman
https://arxiv.org/abs/2506.16926

Collective effects of neighbouring melting ice objects
We present a study on the melting dynamics of neighbouring ice bodies by means of idealised simulations, focusing on collective effects. Two vertically aligned, square-shaped, and equally sized ice objects (size on the order of centimetres) are immersed in quiescent fresh water at a temperature of 20 °C. By performing two-dimensional direct numerical simulations, and using the phase-field method to model the phase change, the collective melting of these objects is studied. While the melting of…

Further tests reveal Grok 4 appears to consult Elon Musk's views on a range of sensitive topics, and its answers tend to align with Musk's personal opinions (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/07/10/grok

Grok 4 seems to consult Elon Musk to answer controversial questions | TechCrunch
Elon Musk's newly launched AI chatbot, Grok 4, seemed to reference Musk's posts on social media before answering controversial questions.

Do AI models help produce verified bug fixes?
Li Huang, Ilgiz Mustafin, Marco Piccioni, Alessandro Schena, Reto Weber, Bertrand Meyer
https://arxiv.org/abs/2507.15822

Do AI models help produce verified bug fixes?
Among areas of software engineering where AI techniques -- particularly, Large Language Models -- seem poised to yield dramatic improvements, an attractive candidate is Automatic Program Repair (APR), the production of satisfactory corrections to software bugs. Does this expectation materialize in practice? How do we find out, making sure that proposed corrections actually work? If programmers have access to LLMs, how do they actually use them to complement their own skills? To answer these q…

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection
Aleksandr Gashkov, Aleksandr Perevalov, Maria Eltsova, Andreas Both
https://arxiv.org/abs/2507.13859

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection
Nowadays, the importance of software with natural-language user interfaces cannot be underestimated. In particular, in Question Answering (QA) systems, generating a SPARQL query for a given natural-language question (often named Query Building) from the information retrieved from the same question is the central task of QA systems working over Knowledge Graphs (KGQA). Due to the rise of Large Language Models (LLMs), they are considered a well-suited method to increase the quality of the questio…