Tootfinder

Seeing is Believing: Emotion-Aware Audio-Visual Language Modeling for Expressive Speech Generation
Weiting Tan, Jiachen Lian, Hirofumi Inaguma, Paden Tomasello, Philipp Koehn, Xutai Ma
https://arxiv.org/abs/2508.16188

Seeing is Believing: Emotion-Aware Audio-Visual Language Modeling for Expressive Speech Generation
We present an Audio-Visual Language Model (AVLM) for expressive speech generation by integrating full-face visual cues into a pre-trained expressive speech model. We explore multiple visual encoders and multimodal fusion strategies during pre-training to identify the most effective integration approach. Subsequent fine-tuning on emotion recognition and expressive dialogue tasks yields substantial gains over speech-only baselines (e.g., +5 F1 in emotion recognition). AVLM highlights the value of…

Experimental Results for Vampire on the Equational Theories Project
Mikol\'a\v{s} Janota
https://arxiv.org/abs/2508.15856 https://arxiv.org/pdf/2508.15…

Experimental Results for Vampire on the Equational Theories Project
Equational Theories Project is a collaborative effort, which explores the validity of certain first-order logic implications of certain kind. The project has been completed but triggered further research. This report investigates how much can be automatically proven and disproven by the automated theorem prover Vampire. An interesting conclusion is that Vampire can prove all the considered implications that hold and also is able to refute a vast majority of those that do not hold.

Peru seizes record 4-ton mercury shipment in fight against illegal gold mining https://news.mongabay.com/short-article/2025/07/peru-seizes-record-4-ton-mercury-shipment-in-fight-against-illegal-gold-mining/

Peru seizes record 4-ton mercury shipment in fight against illegal gold mining
BOGOTA, Colombia (AP) — Peruvian customs officials have seized a record-breaking shipment of illegal mercury, exposing a cross-border smuggling network fueling illicit gold mining in the Amazon. The 4-ton haul, discovered in June at the port of Callao, was hidden in gravel bags and bound for Bolivia, officials said on Thursday. Experts say it could […]

Estimation of nanometer-thickness layer of 6B graphite: an experimental activity to study Ohm's law in higher education
Paulo Henrique Eleuterio Falsetti, Andr\'e Coelho da Silva, Leonardo Geraldino da Silva, Douglas Mendes da Silva Del Duque, Murilo Antonio Menegati, Bruno Fernando Gianelli, Vagner Romito de Mendon\c{c}a, Idelma Aparecida Alves Terra
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Estimation of nanometer-thickness layer of 6B graphite: an experimental activity to study Ohm's law in higher education
Ohm's law is crucial for understanding electrical circuits and conductive materials. Formulated by Georg Simon Ohm in the 19th century, it describes the direct proportional relationship between electric voltage and electric current in ohmic conductors. Despite its apparent simplicity, the literature has pointed out that students at different educational levels have difficulty understanding it, especially due to the abstraction associated with the concepts of electric voltage, electric current, …

Symmetry re-breaking in an effective theory of quantum coarsening
Federico Balducci, Anushya Chandran, Roderich Moessner
https://arxiv.org/abs/2507.17386 https://

Symmetry re-breaking in an effective theory of quantum coarsening
We present a simple theory accounting for two central observations in a recent experiment on quantum coarsening and collective dynamics on a programmable quantum simulator [T. Manovitz et al., Nature 638, 86 (2025)]: an apparent speeding up of the coarsening process as the phase transition is approached; and persistent oscillations of the order parameter after quenches within the ordered phase. Our theory, based on the Hamiltonian structure of the equations of motion in the classical limit of t…

Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study
Mocheng Li, Xiao Yan, Baotong Lu, Yue Zhang, James Cheng, Chenhao Ma
https://arxiv.org/abs/2508.16263

Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study
With the growing integration of structured and unstructured data, new methods have emerged for performing similarity searches on vectors while honoring structured attribute constraints, i.e., a process known as Filtering Approximate Nearest Neighbor (Filtering ANN) search. Since many of these algorithms have only appeared in recent years and are designed to work with a variety of base indexing methods and filtering strategies, there is a pressing need for a unified analysis that identifies thei…

Search for an Anomalous Excess of Single Photons in the MicroBooNE Neutrino Experiment
Lee Hagaman
https://arxiv.org/abs/2506.18956 https://

Search for an Anomalous Excess of Single Photons in the MicroBooNE Neutrino Experiment
Neutrinos are some of the most elusive particles in the standard model, being incredibly common throughout the universe, but interacting with detectors incredibly rarely. Certain properties of neutrinos remain difficult to measure, including their masses, their CP violation properties, and whether or not they are their own antiparticles. Additionally, there have been several anomalous results in neutrino experiments which remain unexplained. MicroBooNE was built in order to study these anomalou…

Dancing with Deer: A Constructional Perspective on MWEs in the Era of LLMs
Claire Bonial, Julia Bonn, Harish Tayyar Madabushi
https://arxiv.org/abs/2508.15977 https://

Dancing with Deer: A Constructional Perspective on MWEs in the Era of LLMs
In this chapter, we argue for the benefits of understanding multiword expressions from the perspective of usage-based, construction grammar approaches. We begin with a historical overview of how construction grammar was developed in order to account for idiomatic expressions using the same grammatical machinery as the non-idiomatic structures of language. We cover a comprehensive description of constructions, which are pairings of meaning with form of any size (morpheme, word, phrase), as well …

Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence
Ariana Sahitaj, Premtim Sahitaj, Veronika Solopova, Jiaao Li, Sebastian M\"oller, Vera Schmitt
https://arxiv.org/abs/2507.18343

Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence
Propaganda detection on social media remains challenging due to task complexity and limited high-quality labeled data. This paper introduces a novel framework that combines human expertise with Large Language Model (LLM) assistance to improve both annotation consistency and scalability. We propose a hierarchical taxonomy that organizes 14 fine-grained propaganda techniques into three broader categories, conduct a human annotation study on the HQP dataset that reveals low inter-annotator agreeme…

FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMs
Giorgos Iacovides, Wuyang Zhou, Danilo Mandic
https://arxiv.org/abs/2507.18417

FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMs
Opinions expressed in online finance-related textual data are having an increasingly profound impact on trading decisions and market movements. This trend highlights the vital role of sentiment analysis as a tool for quantifying the nature and strength of such opinions. With the rapid development of Generative AI (GenAI), supervised fine-tuned (SFT) large language models (LLMs) have become the de facto standard for financial sentiment analysis. However, the SFT paradigm can lead to memorization…