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15 Nov

HateGPT: Unleashing GPT-3.5 Turbo to Combat Hate Speech on X

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arXiv:2411.09214v1 Announce Type: new Abstract: The widespread use of social media platforms like Twitter and Facebook has enabled people of all ages to share their thoughts and experiences, leading to an immense accumulation of user-generated content. However, alongside the benefits, these platforms also face the challenge of managing hate speech and offensive content, which can undermine rational discourse and threaten democratic values. As a result, there is a growing need for automated methods to detect and mitigate such content, especially given the complexity of conversations that may require contextual analysis across multiple languages, including code-mixed languages like Hinglish, German-English, and…

15 Nov

Google Kubernetes Engine Now Supports Trillion-Parameter AI Models

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(Image source: Pepperdata) The exponential growth in large language model (LLM) size and the resulting need for high-performance computing (HPC) infrastructure is reshaping the AI landscape. Some of the newer GenAI models have grown to well over a billion parameters, with some approaching 2 trillion. Google Cloud announced that in anticipation of even larger models, it has upgraded its Kubernetes Engine’s capacity to support 65,000-node clusters, up from 15,000-node clusters. This enhancement enables Google Kubernetes Engine (GKE) to operate at a 10x scale compared to two other major cloud providers, according to Google Cloud. While Google Cloud did not specify…

15 Nov

Less is More: Unseen Domain Fake News Detection via Causal Propagation Substructures

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arXiv:2411.09389v1 Announce Type: cross Abstract: The spread of fake news on social media poses significant threats to individuals and society. Text-based and graph-based models have been employed for fake news detection by analysing news content and propagation networks, showing promising results in specific scenarios. However, these data-driven models heavily rely on pre-existing in-distribution data for training, limiting their performance when confronted with fake news from emerging or previously unseen domains, known as out-of-distribution (OOD) data. Tackling OOD fake news is a challenging yet critical task. In this paper, we introduce the Causal Subgraph-oriented Domain Adaptive Fake News Detection (CSDA) model,…

15 Nov

Computed tomography using meta-optics

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[Submitted on 13 Nov 2024] View a PDF of the paper titled Computed tomography using meta-optics, by Maksym Zhelyeznuyakov and 4 other authors View PDF HTML (experimental) Abstract:Computer vision tasks require processing large amounts of data to perform image classification, segmentation, and feature extraction. Optical preprocessors can potentially reduce the number of floating point operations required by computer vision tasks, enabling low-power and low-latency operation. However, existing optical preprocessors are mostly learned and hence strongly depend on the training data, and thus lack universal applicability. In this paper, we present a metaoptic imager, which implements the Radon transform obviating the…

15 Nov

Unsupervised Summarization Re-ranking

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[Submitted on 19 Dec 2022 (v1), last revised 14 Nov 2024 (this version, v4)] View a PDF of the paper titled Unsupervised Summarization Re-ranking, by Mathieu Ravaut and 2 other authors View PDF HTML (experimental) Abstract:With the rise of task-specific pre-training objectives, abstractive summarization models like PEGASUS offer appealing zero-shot performance on downstream summarization tasks. However, the performance of such unsupervised models still lags significantly behind their supervised counterparts. Similarly to the supervised setup, we notice a very high variance in quality among summary candidates from these models while only one candidate is kept as the summary output. In this…

15 Nov

From Imitation to Refinement — Residual RL for Precise Assembly

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[Submitted on 23 Jul 2024 (v1), last revised 14 Nov 2024 (this version, v3)] View a PDF of the paper titled From Imitation to Refinement -- Residual RL for Precise Assembly, by Lars Ankile and 4 other authors View PDF HTML (experimental) Abstract:Advances in behavior cloning (BC), like action-chunking and diffusion, have enabled impressive capabilities. Still, imitation alone remains insufficient for learning reliable policies for tasks requiring precise aligning and inserting of objects, like assembly. Our key insight is that chunked BC policies effectively function as trajectory planners, enabling long-horizon tasks. Conversely, as they execute action chunks open-loop, they lack…

15 Nov

V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges

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[Submitted on 5 Oct 2023 (v1), last revised 14 Nov 2024 (this version, v4)] View a PDF of the paper titled V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges, by Tao Huang and 7 other authors View PDF HTML (experimental) Abstract:Achieving fully autonomous driving with heightened safety and efficiency depends on vehicle-to-everything (V2X) cooperative perception (CP), which allows vehicles to share perception data, thereby enhancing situational awareness and overcoming the limitations of the sensing ability of individual vehicles. V2X CP is crucial for extending perception range, improving accuracy, and strengthening the decision-making and control capabilities of autonomous vehicles…

15 Nov

Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework

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15 Nov

The Moral Foundations Weibo Corpus

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arXiv:2411.09612v1 Announce Type: cross Abstract: Moral sentiments expressed in natural language significantly influence both online and offline environments, shaping behavioral styles and interaction patterns, including social media selfpresentation, cyberbullying, adherence to social norms, and ethical decision-making. To effectively measure moral sentiments in natural language processing texts, it is crucial to utilize large, annotated datasets that provide nuanced understanding for accurate analysis and modeltraining. However, existing corpora, while valuable, often face linguistic limitations. To address this gap in the Chinese language domain,we introduce the Moral Foundation Weibo Corpus. This corpus consists of 25,671 Chinese comments on Weibo, encompassing six diverse topic…

15 Nov

SMILE-UHURA Challenge — Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms

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[Submitted on 14 Nov 2024] Authors:Soumick Chatterjee, Hendrik Mattern, Marc Dörner, Alessandro Sciarra, Florian Dubost, Hannes Schnurre, Rupali Khatun, Chun-Chih Yu, Tsung-Lin Hsieh, Yi-Shan Tsai, Yi-Zeng Fang, Yung-Ching Yang, Juinn-Dar Huang, Marshall Xu, Siyu Liu, Fernanda L. Ribeiro, Saskia Bollmann, Karthikesh Varma Chintalapati, Chethan Mysuru Radhakrishna, Sri Chandana Hudukula Ram Kumara, Raviteja Sutrave, Abdul Qayyum, Moona Mazher, Imran Razzak, Cristobal Rodero, Steven Niederren, Fengming Lin, Yan Xia, Jiacheng Wang, Riyu Qiu, Liansheng Wang, Arya Yazdan Panah, Rosana El Jurdi, Guanghui Fu, Janan Arslan, Ghislain Vaillant, Romain Valabregue, Didier Dormont, Bruno Stankoff, Olivier Colliot, Luisa Vargas, Isai Daniel Chacón, Ioannis Pitsiorlas,…