Model releases, architecture work and prompting research on large language models — from frontier-lab announcements to the arXiv papers behind them.
As models scale, reward hacking becomes more frequent, more sophisticated, and more consequential. Does it leave a telltale signature in model representations? This work analyzes how reward hacking is...
Mixture-of-Experts (MoE) language models suffer from large parameter counts, which create a significant memory bottleneck. Expert pruning is the most direct approach for reducing this parameter count,...
Existing legal benchmarks cover diverse tasks, while continuous monetary remedies remain comparatively underexplored. We introduce ECtHR-NPD, to the best of our knowledge, the first benchmark for pred...
Mustafa Suleyman argues that artificial models should not be treated as if they possess feelings, preferences, rights, or any entitlement to human welfare. He emphasizes that consciousness underpins our ethical, legal, and political frameworks, and extending such rights to AI would lack evidence and complicate containment and alignment efforts.
OpenAI and AARP are partnering to offer free, hands‑on ChatGPT workshops for 1,000 older adults in 10 U.S. cities. The program aims to teach practical AI skills in a safe environment. Participants will gain direct experience using ChatGPT for everyday tasks.
Current Mixture-of-Agents (MoA) paradigms generally treat query routing and agent fine-tuning as separate processes, limiting their ability to respond to evolving agent capabilities. This disconnect p...
We analyze the learned input-output behavior of GLU-based neurons in large language models (LLMs). We propose a simple analysis method: For each neuron, we compute the cosine similarities between its...
Self-driving laboratories can explore synthesis conditions autonomously, but their decision-making layer is typically a black-box optimizer, and the output is a set of optimized samples, with the meas...
Propagation structures provide crucial evidence for fake news detection, yet existing approaches primarily rely on supervised GNN-based models, which require substantial labeled data and exhibit limit...
We propose a compact NISQ-compatible quantum transformer architecture for synthetic QNLP sequence modelling. The model preserves the autoregressive next-token interface of a classical transformer, but...
GPT-6 Astra helps Hex’s data agents turn answers into interactive visualizations that employees are proud to share.
Mistral AI and Mozilla are collaborating to integrate open, private, and multilingual AI directly into web browsers. This partnership aims to bring powerful, trustworthy AI capabilities to users in the environment where they already browse the internet.
The article explains how ChatGPT Work and Codex analytics can help teams track AI usage and spending, identify training needs, and link AI adoption to business outcomes.
UNESCO considers the Assyrian (Syriac) language an endangered language. Although Assyrians speak the language worldwide, the speaking population is uncertain (ranging from 500,000 to 1,500,000). Syria...
Collective intelligence is a collaborative autonomy paradigm in which multiple agents pursue shared objectives through local perception, information exchange, and coordinated action. UAV swarms embody...
While Large Language Models excel in natural language processing, efficiently extending their capabilities to spoken input remains a significant challenge. Existing methods for building SpeechLLMs oft...
Large language models are increasingly used to generate and evaluate online content, yet it remains unclear whether the qualities they associate with higher engagement match what real users respond to...
Classroom observations are widely recognized as a key tool for establishing benchmarks of education quality and guiding pedagogical improvement, yet they remain resource-intensive and dependent on tra...
Precise retrieval of scientific information is fundamentally constrained by long-tailed concepts and high fact-sensitivity of scientific corpora. These challenges often limit the effectiveness of dens...
Human values are deep motivational orientations that shape human behaviors. In e-commerce, they reveal the stable drivers behind users' purchase decisions. Compared with short-term interests, consumer...