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Announcing the finalists for the 2025 women in AI awards.Read More

By offering transparent tooling and clear implementation examples, OpenAI is pushing agentic systems out of the lab and into everyday...

AI institutions develop heterogeneous models for specific tasks but face data scarcity challenges during training. Traditional Federated Learning (FL) supports...

Seven companies will be sharing their latest AI innovations from the main stage at VB Transform in SF on June...
arXiv:2506.13992v1 Announce Type: cross Abstract: Large language models (LLMs) have advanced the automation of data science workflows. Yet it remains...
arXiv:2505.13227v2 Announce Type: replace-cross Abstract: Graphical user interface (GUI) grounding, the ability to map natural language instructions to specific actions...
arXiv:2406.11423v4 Announce Type: replace-cross Abstract: Proactive content moderation requires platforms to rapidly and continuously evaluate the credibility of websites. Leveraging...
arXiv:2506.14190v1 Announce Type: new Abstract: Developing code-switched ASR systems is challenging due to language ambiguity and limited exposure to multilingual,...
arXiv:2502.13520v2 Announce Type: replace Abstract: This paper introduces the Balanced Arabic Readability Evaluation Corpus (BAREC), a large-scale, fine-grained dataset for...
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