arXiv:2601.07986v1 Announce Type: new Abstract: We introduce VULCA-Bench, a multicultural art-critique benchmark for evaluating Vision-Language Models’ (VLMs) cultural understanding beyond surface-level visual perception. Existing VLM benchmarks predominantly measure L1-L2 capabilities (object recognition, scene description, and factual question answering) while under-evaluate higher-order cultural interpretation. VULCA-Bench contains 7,410 matched image-critique pairs spanning eight cultural traditions, with Chinese-English bilingual coverage. We operationalise cultural understanding using a five-layer framework (L1-L5, from Visual Perception to Philosophical Aesthetics), instantiated as 225 culture-specific dimensions and […]

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Last September, Google announced Gemini-powered features in Chrome. At the time, the features were limited to U.S. users. Fast forward to today, the Mountain View giant has announced that it has expanded Gemini features in Chrome for users in India, Canada, and New Zealand. The new AI features are powered by Gemini 3.1, which the company rolled out to U.S. users back in January this year. Gemini now sits in Chrome’s side panel to help you with multiple […]

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How zero-cost, authoritative-sounding text is breaking institutional accountability On January 16, the chief constable of West Midlands Police in the United Kingdom stepped down after admitting that an AI tool had been used to help draft an official safety assessment that cited a football match that never took place. The report was used to justify banning supporters of Maccabi Tel Aviv from attending a Europa League match against Aston Villa in November 2025. Embedded in the assessment was […]

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On April 14–15, 2026, Moscow will host Blockchain Forum 2026 — a landmark event uniting the CIS and global crypto markets once again. As the largest crypto and Web3 gathering in the region, the forum serves as the key meeting point for the crypto community, bringing together thousands of traders, investors, developers, and entrepreneurs who shape the industry’s future. The international forum traditionally features founders, top managers, and visionaries from Tether, Binance, Tron, Ripple, Bybit, Bitget, Animoca Brands, […]

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arXiv:2410.06326v2 Announce Type: replace-cross Abstract: Gaussian graphical models (GGMs) are widely used to recover the conditional independence structure among random variables. Recent work has sought to incorporate auxiliary covariates to improve estimation, particularly in applications such as co-expression quantitative trait locus (eQTL) studies, where both gene expression levels and their conditional dependence structure may be influenced by genetic variants. Existing approaches to covariate-adjusted GGMs either restrict covariate effects to the mean structure or lead to nonconvex formulations when […]

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Claude Code was made available to the general public in May 2025. Today, Claude Code’s run-rate revenue has grown to over $2.5 billion; this figure has more than doubled since the beginning of 2026. The number of weekly active Claude Code users has also doubled since January 1 [six weeks ago]. — Anthropic, announcing their $30 billion series G Tags: coding-agents, anthropic, claude-code, ai-agents, generative-ai, ai, llms

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arXiv:2602.22404v1 Announce Type: new Abstract: Stereotype repositories are critical to assess generative AI model safety, but currently lack adequate global coverage. It is imperative to prioritize targeted expansion, strategically addressing existing deficits, over merely increasing data volume. This work introduces a multilingual stereotype resource covering four sub-Saharan African countries that are severely underrepresented in NLP resources: Ghana, Kenya, Nigeria, and South Africa. By utilizing socioculturally-situated, community-engaged methods, including telephonic surveys moderated in native languages, we establish a reproducible […]

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arXiv:2508.14285v3 Announce Type: replace-cross Abstract: Fine-tuning large language models (LLMs) with low-rank adaptation (LoRA) is a cost-effective way to incorporate information from a specific dataset. However, when a problem requires incorporating information from multiple datasets – as in few shot learning – generalization across datasets can be limited, driving up training costs. As a consequence, other approaches such as in-context learning are typically used in this setting. To address this challenge, we introduce an efficient method for adapting […]

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arXiv:2604.04947v1 Announce Type: new Abstract: With the rapid proliferation of online sports journalism, extracting meaningful pre-game and post-game insights from articles is essential for enhancing user engagement and comprehension. In this paper, we address the task of automatically extracting such insights from articles published before and after matches. We curate a dataset of 7,900 news articles covering 800 matches across four major sports: Cricket, Soccer, Basketball, and Baseball. To ensure contextual relevance, we employ a two-step validation pipeline […]

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