Related papers: Evo* 2025 -- Late-Breaking Abstracts Volume

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Report of the 5th PVUW Challenge: Towards More Diverse Modalities in Pixel-Level Understanding [202.7892709083317]
This report summarizes the objectives, datasets, and top-performing methodologies of the 2026 Pixel-level Video Understanding in the Wild (PVUW) Challenge.<n>The 2026 edition features three specialized tracks: the MOSE track for tracking objects within densely cluttered and severely occluded scenarios; the MeViS-Text track for localizing targets via motion-focused linguistic expressions; and the newly inaugurated MeViS-Audio track, which pioneers acoustic-driven object segmentation.
arXiv Detail & Related papers (2026-04-28T18:14:18Z)
Paper Espresso: From Paper Overload to Research Insight [53.45135239997754]
We present Paper Espresso, an open-source platform that automatically discovers, summarizes, and analyzes trending arXiv papers.<n>The system uses large language models (LLMs) to generate structured summaries with topical labels and keywords.<n>Over 35 months of continuous deployment, Paper Espresso has processed over 13,300 papers and publicly released all structured metadata.
arXiv Detail & Related papers (2026-04-06T09:45:21Z)
Overview of the TREC 2025 Retrieval Augmented Generation (RAG) Track [52.136178637532886]
Second edition of the TREC Retrieval Augmented Generation (RAG) Track advances research on systems that integrate retrieval and generation.<n>Building on the foundation of the inaugural 2024 track, this year's challenge introduces long, multi-sentence narrative queries.<n>Participants are tasked with designing pipelines that combine retrieval and generation while ensuring transparency and factual grounding.
arXiv Detail & Related papers (2026-03-10T16:49:18Z)
The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking [58.93871662838964]
The CheckThat! lab aims to advance the development of innovative technologies combating disinformation and manipulation efforts in online communication.<n>In this year's edition, the verification pipeline is at the center again with the following tasks.<n>These tasks represent challenging classification and retrieval problems as well as generation challenges at the document and span level, including multilingual settings.
arXiv Detail & Related papers (2026-02-10T08:20:18Z)
Analyzing Political Text at Scale with Online Tensor LDA [53.16930342547758]
This paper proposes a topic modeling method that scales linearly to billions of documents.<n>We show that this method is computationally and memory efficient (achieving speeds over 3-4x those of prior parallelized Latent Dirichlet Allocation (LDA) methods)<n>We perform two real-world, large-scale new studies of interest to political scientists.
arXiv Detail & Related papers (2025-11-11T03:58:48Z)
A Survey of AIOps in the Era of Large Language Models [60.59720351854515]
We analyzed 183 research papers published between January 2020 and December 2024 to answer four key research questions (RQs)<n>We discuss the state-of-the-art advancements and trends, identify gaps in existing research, and propose promising directions for future exploration.
arXiv Detail & Related papers (2025-06-23T02:40:16Z)
NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces [103.74244735167764]
This paper reports on the NTIRE 2025 challenge on HR Depth From images of Specular and Transparent surfaces, held in conjunction with the New Trends in Image Restoration and Enhancement (NTIRE) workshop at CVPR 2025.<n>This challenge aims to advance the research on depth estimation, specifically to address two of the main open issues in the field: high-resolution and non-Lambertian surfaces.
arXiv Detail & Related papers (2025-06-06T07:27:15Z)
Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind [69.01047382547794]
This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2025.<n>The purpose of this volume is to provide an open access and curated anthology for the ToM and AI research community.
arXiv Detail & Related papers (2025-04-28T17:06:14Z)
Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles [21.856049605149646]
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arXiv Detail & Related papers (2024-08-16T07:00:08Z)
Evo* 2023 -- Late-Breaking Abstracts Volume [0.0]
Volume with the Late-Breaking Abstracts submitted to the Evo* 2023 Conference, held in Brno (Czech Republic) These papers present ongoing research and preliminary results investigating on the application of different approaches of Bioinspired Methods to different problems, most of them real world ones.
arXiv Detail & Related papers (2024-03-20T19:42:11Z)
The Robust Semantic Segmentation UNCV2023 Challenge Results [99.97867942388486]
This paper outlines the winning solutions employed in addressing the MUAD uncertainty quantification challenge held at ICCV 2023. The challenge was centered around semantic segmentation in urban environments, with a particular focus on natural adversarial scenarios. The report presents the results of 19 submitted entries, with numerous techniques drawing inspiration from cutting-edge uncertainty quantification methodologies.
arXiv Detail & Related papers (2023-09-27T08:20:03Z)
Evo* 2022 -- Late-Breaking Abstracts Volume [0.0]
Volume with the Late-Breaking Abstracts submitted to the Evo* 2022 Conference, held in Madrid (Spain) These papers present ongoing research and preliminary results investigating on the application of different approaches of Bioinspired Methods to different problems, most of them real world ones.
arXiv Detail & Related papers (2022-08-01T01:07:02Z)
ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection [70.45884214674057]
ASVspoof 2021 is the forth edition in the series of bi-annual challenges which aim to promote the study of spoofing. This paper describes all three tasks, the new databases for each of them, the evaluation metrics, four challenge baselines, the evaluation platform and a summary of challenge results.
arXiv Detail & Related papers (2021-09-01T16:17:31Z)
Evo* 2021 -- Late-Breaking Abstracts Volume [0.0]
Volume with the Late-Breaking Abstracts submitted to the Evo* 2021 Conference. These papers present ongoing research and preliminary results investigating on the application of different approaches of Bioinspired Methods to different problems, most of them real world ones.
arXiv Detail & Related papers (2021-06-17T22:21:46Z)
Evo* 2020 -- Late-Breaking Abstracts Volume [0.0]
This volume contains the Late-Breaking Abstracts submitted to the Evo* 2020 Conference, that took place online, from 15 to 17 of April 2020.
arXiv Detail & Related papers (2020-05-14T19:37:34Z)

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