Tootfinder

HOLA: Enhancing Audio-visual Deepfake Detection via Hierarchical Contextual Aggregations and Efficient Pre-training
Xuecheng Wu, Danlei Huang, Heli Sun, Xinyi Yin, Yifan Wang, Hao Wang, Jia Zhang, Fei Wang, Peihao Guo, Suyu Xing, Junxiao Xue, Liang He
https://arxiv.org/abs/2507.22781

HOLA: Enhancing Audio-visual Deepfake Detection via Hierarchical Contextual Aggregations and Efficient Pre-training
Advances in Generative AI have made video-level deepfake detection increasingly challenging, exposing the limitations of current detection techniques. In this paper, we present HOLA, our solution to the Video-Level Deepfake Detection track of 2025 1M-Deepfakes Detection Challenge. Inspired by the success of large-scale pre-training in the general domain, we first scale audio-visual self-supervised pre-training in the multimodal video-level deepfake detection, which leverages our self-built data…

Markov Decision Processes with Value-at-Risk Criterion
Li Xia, Jinyan Pan
https://arxiv.org/abs/2507.22355 https://arxiv.org/pdf/2507.22355

Markov Decision Processes with Value-at-Risk Criterion
Value-at-risk (VaR), also known as quantile, is a crucial risk measure in finance and other fields. However, optimizing VaR metrics in Markov decision processes (MDPs) is challenging because VaR is non-additive and the traditional dynamic programming is inapplicable. This paper conducts a comprehensive study on VaR optimization in discrete-time finite MDPs. We consider VaR in two key scenarios: the VaR of steady-state rewards over an infinite horizon and the VaR of accumulated rewards over a fi…

Next Tokens Denoising for Speech Synthesis
Yanqing Liu, Ruiqing Xue, Chong Zhang, Yufei Liu, Gang Wang, Bohan Li, Yao Qian, Lei He, Shujie Liu, Sheng Zhao
https://arxiv.org/abs/2507.22746

Next Tokens Denoising for Speech Synthesis
While diffusion and autoregressive (AR) models have significantly advanced generative modeling, they each present distinct limitations. AR models, which rely on causal attention, cannot exploit future context and suffer from slow generation speeds. Conversely, diffusion models struggle with key-value (KV) caching. To overcome these challenges, we introduce Dragon-FM, a novel text-to-speech (TTS) design that unifies AR and flow-matching. This model processes 48 kHz audio codec tokens in chunks a…

Synergizing Implicit and Explicit User Interests: A Multi-Embedding Retrieval Framework at Pinterest
Zhibo Fan, Hongtao Lin, Haoyu Chen, Bowen Deng, Hedi Xia, Yuke Yan, James Li
https://arxiv.org/abs/2506.23060

Synergizing Implicit and Explicit User Interests: A Multi-Embedding Retrieval Framework at Pinterest
Industrial recommendation systems are typically composed of multiple stages, including retrieval, ranking, and blending. The retrieval stage plays a critical role in generating a high-recall set of candidate items that covers a wide range of diverse user interests. Effectively covering the diverse and long-tail user interests within this stage poses a significant challenge: traditional two-tower models struggle in this regard due to limited user-item feature interaction and often bias towards t…

Global Group, the same threat actor that has purportedly hacked Ireland's RTE, is laying claim to another media giant hack, this time, Spanish-language Albavisión.
https://hackread.com/global-group-ransomware-media-giant-albavision-breach/

GLOBAL GROUP Ransomware Claims Breach of Media Giant Albavisión
Follow us on Bluesky, Twitter (X), Mastodon and Facebook at @Hackread

Laser-Synthesized Amorphous PdSe$_{\mathrm{2-x}}$ Nanoparticles: A Defect-Rich Platform for High-Efficiency SERS, Photocatalysis, and Photothermal Conversion
Andrei Ushkov, Nadezhda Belozerova, Dmitriy Dyubo, Ilya Martynov, Alexander Syuy, Daniil Tselikov, Georgy Ermolaev, Sergey V. Bazhenov, Roman I. Romanov, Ivan Kruglov, Anton A. Popov, Alexander Chernov, Alexey D. Bolshakov, Sergey Novikov, Andrey A. Vyshnevyy, Aleksey Arsenin, Andrei V. Kabashin, Gleb I. Tselikov, Valentyn Volkov

Laser-Synthesized Amorphous PdSe$_{\mathrm{2-x}}$ Nanoparticles: A Defect-Rich Platform for High-Efficiency SERS, Photocatalysis, and Photothermal Conversion
The control of material properties at the atomic scale remains a central challenge in materials science. Transition metal dichalcogenides (TMDCs) offer remarkable electronic and optical properties, but their functionality is largely dictated by their stable crystalline phases. Here we demonstrate a single-step, ligand-free strategy using femtosecond laser ablation in liquid to transform crystalline, stoichiometric palladium diselenide (PdSe$_{\mathrm{2}}$) into highly stable, amorphous, and non…

FHSTP@EXIST 2025 Benchmark: Sexism Detection with Transparent Speech Concept Bottleneck Models
Roberto Labadie-Tamayo, Adrian Jaques B\"ock, Djordje Slijep\v{c}evi\'c, Xihui Chen, Andreas Babic, Matthias Zeppelzauer
https://arxiv.org/abs/2507.20924

FHSTP@EXIST 2025 Benchmark: Sexism Detection with Transparent Speech Concept Bottleneck Models
Sexism has become widespread on social media and in online conversation. To help address this issue, the fifth Sexism Identification in Social Networks (EXIST) challenge is initiated at CLEF 2025. Among this year's international benchmarks, we concentrate on solving the first task aiming to identify and classify sexism in social media textual posts. In this paper, we describe our solutions and report results for three subtasks: Subtask 1.1 - Sexism Identification in Tweets, Subtask 1.2 - Source…

„Twelve Jokers In A Deck“ by Loonies and The Twitch Elite.
The following records are claimed in this intro:
Widest 4x4 RGB rotozoomer on OCS: 64 columns
Biggest 4x4 RGB rotozoomer on OCS running 50fps
with scroller and music: 64 x 57 = 3648 blocks
Most well-presented rotozoomer on OCS
Note: Released 28th June 2025
at Posadas DemoParty
#Amiga

Data warehouses, lakes, lakehouses, and more – the choices we make profoundly impact operational costs and development speed. At Berlin Buzzwords, Lars Albertsson dived into how common operational challenges like deployment, failure handling, and data quality are affected by different data processing paradigms.
Watch the full session: https://youtu.be/uev_27z3-1s?si=tXTIQ8aiZeCp_Xa0
Berlin Buzzwords returns on 7-9 June 2026! Get 36% off with our Trust Us Ticket: https://tickets.plainschwarz.com/bbuzz26/c/8Hvk0ZvJA/

Orthorhombic nitride perovskite CeTaN3-{\delta} with switchable and robust ferroelectric polarization
Guozhu Song, Xiangliang Zheng, Xiaodong Yao, Xuefeng Zhou, Chao Gu, Qinghua Zhang, Jian Chen, Chenglu Huang, Tiancheng Yang, Leiming Fang, Ping Miao, Lingxiang Bao, Wen Yin, Xiaohui Yu, Jinlong Zhu, Wei Bao, Yusheng Zhao, Erjia Guo, Shanmin Wang
https://…

Orthorhombic nitride perovskite CeTaN3-δ with switchable and robust ferroelectric polarization
Perovskite-type ternary nitrides with predicted exciting ferroelectricity and many other outstanding properties hold great promise to be an emerging class of advanced ferroelectrics for manufacturing diverse technologically important devices. However, such nitride ferroelectrics have not yet been experimentally identified, mainly due to the challenging sample synthesis by traditional methods at ambient pressure. Here we report the successful high-pressure synthesis of a high-quality ferroelectr…