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AI adoption is rising in the U.S., but trust remains low, with most Americans concerned about transparency, regulation, and the technology’s broader societal impact, according …
arXiv:2604.00666v1 Announce Type: new Abstract: Diffusion language models (DLMs) offer a promising path toward low-latency generation through parallel decoding, but their practical efficiency depends heavily …
LiteLLM had obtained two security compliance certifications via Delve and fell victim to some horrific credential-stealing malware last week.
March 30 2026 What’s new for the Position Paper Track at NeurIPS 2026 Communication Chairs 2026 2026 Conference We are excited to announce the Position …
"Defendants must immediately cease" actions to integrate and consolidate the firms.
arXiv:2604.00261v2 Announce Type: new Abstract: Large language models (LLMs) have achieved strong performance on medical question answering (medical QA), and chain-of-thought (CoT) prompting has further …
arXiv:2604.00510v1 Announce Type: new Abstract: Monte Carlo Tree Search (MCTS) is an effective test-time compute scaling (TTCS) method for improving the reasoning performance of large …
Judge invalidates Trump executive order, but Congress also cut off all funding.
March 30 2026 Retrospective on PAT x ICML 2026 AI Paper Assistant Program Gautam Kamath ICML 2026 By Google Researchers Rajesh Jayaram and Vincent Cohen-Addad, …
arXiv:2604.01651v1 Announce Type: new Abstract: An assumption often made in supervised learning is that the training and testing sets have the same label distribution. However, …
arXiv:2604.01337v1 Announce Type: new Abstract: While deep learning has significantly advanced accident anticipation, the robustness of these safety-critical systems against real-world perturbations remains a major …
arXiv:2604.00489v1 Announce Type: new Abstract: Adapting pre-trained text Large Language Models (LLMs) into Speech Language Models (Speech LMs) via continual pretraining on speech data is …