[Submitted on 23 May 2025 (v1), last revised 5 Jul 2025 (this version, v2)] View a PDF of the paper titled Graph Inverse Style Transfer for Counterfactual Explainability, by Bardh Prenkaj and 2 other authors View PDF HTML (experimental) Abstract:Counterfactual explainability seeks to uncover model decisions by identifying minimal changes to the input that alter […]

[Submitted on 8 May 2025 (v1), last revised 6 Jul 2025 (this version, v2)] Authors:Yunxin Li, Zhenyu Liu, Zitao Li, Xuanyu Zhang, Zhenran Xu, Xinyu Chen, Haoyuan Shi, Shenyuan Jiang, Xintong Wang, Jifang Wang, Shouzheng Huang, Xinping Zhao, Borui Jiang, Lanqing Hong, Longyue Wang, Zhuotao Tian, Baoxing Huai, Wenhan Luo, Weihua Luo, Zheng Zhang, Baotian

[Submitted on 20 Mar 2024 (v1), last revised 6 Jul 2025 (this version, v3)] View a PDF of the paper titled Pretraining Language Models Using Translationese, by Meet Doshi and 2 other authors View PDF HTML (experimental) Abstract:In this paper, we explore the utility of translationese as synthetic data created using machine translation for pre-training

[Submitted on 13 Jun 2024 (v1), last revised 4 Jul 2025 (this version, v2)] View a PDF of the paper titled Deep Transformer Network for Monocular Pose Estimation of Shipborne Unmanned Aerial Vehicle, by Maneesha Wickramasuriya and 2 other authors View PDF HTML (experimental) Abstract:This paper introduces a deep transformer network for estimating the relative

[Submitted on 12 Feb 2025 (v1), last revised 7 Jul 2025 (this version, v2)] View a PDF of the paper titled A Comparative Study of Machine Learning Algorithms for Stock Price Prediction Using Insider Trading Data, by Amitabh Chakravorty and 1 other authors View PDF HTML (experimental) Abstract:The research paper empirically investigates several machine learning

[Submitted on 20 Aug 2024 (v1), last revised 7 Jul 2025 (this version, v2)] Authors:Ezequiel de la Rosa, Ruisheng Su, Mauricio Reyes, Evamaria O. Riedel, Hakim Baazaoui, Roland Wiest, Florian Kofler, Kaiyuan Yang, David Robben, Mahsa Mojtahedi, Laura van Poppel, Lucas de Vries, Anthony Winder, Kimberly Amador, Nils D. Forkert, Gyeongyeon Hwang, Jiwoo Song, Dohyun

[Submitted on 19 Mar 2025 (v1), last revised 4 Jul 2025 (this version, v3)] View a PDF of the paper titled Entity-aware Cross-lingual Claim Detection for Automated Fact-checking, by Rrubaa Panchendrarajan and Arkaitz Zubiaga View PDF HTML (experimental) Abstract:Identifying claims requiring verification is a critical task in automated fact-checking, especially given the proliferation of misinformation

[Submitted on 12 Jan 2025 (v1), last revised 4 Jul 2025 (this version, v2)] Authors:Zhenyang Feng, Zihe Wang, Jianyang Gu, Saul Ibaven Bueno, Tomasz Frelek, Advikaa Ramesh, Jingyan Bai, Lemeng Wang, Zanming Huang, Jinsu Yoo, Tai-Yu Pan, Arpita Chowdhury, Michelle Ramirez, Elizabeth G. Campolongo, Matthew J. Thompson, Christopher G. Lawrence, Sydne Record, Neil Rosser, Anuj

Published on July 8, 2025 1:42 AM GMT Discuss

The American public hates AI. That -18% sentiment puts AI somewhere between fracking (-9%) and race-aware college admissions (-23%). When asked about AI, Americans worry deeply, especially about specific applications. Self-driving cars polled in 2022 at -18%; AI for tracking worker movements polls at -46%. But it’s not a salient issue. In Gallup’s “most important