Tootfinder

Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking
Pascal J. Sager, Ashwini Kamaraj, Benjamin F. Grewe, Thilo Stadelmann
https://arxiv.org/abs/2505.23250

Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking
We present the methodology and results of the Deep Retrieval team for subtask 4b of the CLEF CheckThat! 2025 competition, which focuses on retrieving relevant scientific literature for given social media posts. To address this task, we propose a hybrid retrieval pipeline that combines lexical precision, semantic generalization, and deep contextual re-ranking, enabling robust retrieval that bridges the informal-to-formal language gap. Specifically, we combine BM25-based keyword matching with a F…

#Weltententreffen fängt ja gut an. In der ersten Nacht ist mir jemand auf die Zeltaspis getreten. 😖 Man sieht sogar noch zwei oder drei matschige Schubabdrücke. Hat leider eine der Alustangen zerbrochen. Netterweise liefert #Hilleberg ab Werk nicht nur eine Reparaturhülse mit sondern auch ein S…

Sturmflut der Lügen – Wie wir unsere Gesellschaft gegen Desinformation wappnen
Vortrag mit
Michael Blume @…
8.7.2025, 19:30 Uhr
Manufaktur Schorndorf
#Schorndorf

Secure Energy Transactions Using Blockchain Leveraging AI for Fraud Detection and Energy Market Stability
Md Asif Ul Hoq Khan, MD Zahedul Islam, Istiaq Ahmed, Md Masud Karim Rabbi, Farhana Rahman Anonna, MD Abdul Fahim Zeeshan, Mehedi Hasan Ridoy, Bivash Ranjan Chowdhury, Md Nazmul Shakir Rabbi, GM Alamin Sadnan
https://arxiv.or…

Secure Energy Transactions Using Blockchain Leveraging AI for Fraud Detection and Energy Market Stability
Peer-to-peer trading and the move to decentralized grids have reshaped the energy markets in the United States. Notwithstanding, such developments lead to new challenges, mainly regarding the safety and authenticity of energy trade. This study aimed to develop and build a secure, intelligent, and efficient energy transaction system for the decentralized US energy market. This research interlinks the technological prowess of blockchain and artificial intelligence (AI) in a novel way to solve lon…

Magnonic chaotic comb
Ruitong Sun, Guanqi Ye, Fusheng Ma
https://arxiv.org/abs/2505.23163 https://arxiv.org/pdf/2505.23163

Magnonic chaotic comb
Optical chaotic comb, possessing the key metrics of intrinsic random amplitude, phase, and frequency modulation of comb lines, emerges as a novel chaotic source in information systems for coherence tomography, parallel ranging, and secure communications. Considering the analogies between magnons and photons, the magnonic analog of optical chaotic combs is expected but not yet explored. Here, we propose a scenario of generating magnonic chaotic combs based on mode coupling mechanism in magnonic …

Dieser Kommentar auf @… von Tim Elsner - "Hingewurschtelt in Germany" - trifft viele Nägel auf den Kopf: https://www.golem.de/news/ki-aus-…

KI aus Deutschland: Hingewurschtelt in Germany - Golem.de
EU-Milliarden fließen in KI-Projekte, doch es kommt wenig dabei heraus - gerade in Deutschland. Das liegt vor allem am falschen Fokus.

Nanoscale mechanics and ultralow Friction of natural 2D silicates: Biotite and Rhodonite
Surbhi Slathia, Manoj Tripathi, Raphael Benjamim de Oliveira, Guilherme da Silva Lopes Fabris, Bruno Ipaves, Raphael Matozo Tromer, Marcelo Lopes Pereira Junior, Gelu Costin, Preeti Lata Mahapatraa, Nicholas R. Glavin, Ajit K. Roy, Venkataramana Gadhamshetty, Douglas Soares Galvao, Alan Dalton, Chandra Sekhar Tiwary

Nanoscale mechanics and ultralow Friction of natural 2D silicates: Biotite and Rhodonite
Two-dimensional (2D) silicates have emerged as a promising class of ultrathin materials, expanding the landscape of 2D systems beyond conventional van der Waals crystals. Their unique crystal chemistries and structural anisotropies make them attractive for applications ranging from sensors and flexoelectric devices to drug delivery and catalysis. To unlock their full potential, it is critical to understand their thickness-dependent mechanical properties within the family of 2D silicates. In thi…

Nachdem eben schon zwei gutgelaunte Schornsteinfeger bei mir waren, ist heute sicher ein guter Tag um die Steuererklärungen für 2024 erfolgreich fertig zu machen.

Time-Constrained Interception of Seeker-Equipped Interceptors with Bounded Input
Ashok Samrat R, Swati Singh, Shashi Ranjan Kumar
https://arxiv.org/abs/2506.19522

Time-Constrained Interception of Seeker-Equipped Interceptors with Bounded Input
This paper presents a nonlinear guidance scheme designed to achieve precise interception of stationary targets at a pre-specified impact time. The proposed strategy essentially accounts for the constraints imposed by the interceptor's seeker field-of-view (FOV) and actuator limitations, which, if ignored, can degrade guidance performance. To address these challenges, the guidance law incorporates known actuator bounds directly into its design, thereby improving overall interceptor effectiveness…

Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC
Tianshi Xu, Wen-jie Lu, Jiangrui Yu, Chen Yi, Chenqi Lin, Runsheng Wang, Meng Li
https://arxiv.org/abs/2508.19525

Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC
This paper presents an efficient framework for private Transformer inference that combines Homomorphic Encryption (HE) and Secure Multi-party Computation (MPC) to protect data privacy. Existing methods often leverage HE for linear layers (e.g., matrix multiplications) and MPC for non-linear layers (e.g., Softmax activation functions), but the conversion between HE and MPC introduces significant communication costs. The proposed framework, dubbed BLB, overcomes this by breaking down layers into …