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Showing 241–270 of 403
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Distilling the Shape of Uncertainty: What On-Policy Distillation Learns and How to Predict It
    Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Multimodal
    Implicit Reasoning in Transformers: Bridging the Compositionality Gap in GPT-2-like Models
    GPT Transformer
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Blind Spots: Where Small Language Models Fall Behind Frontier Models on Terminal Tasks
    Neural Network
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  • arXiv cs.CL (Computation and Language) · EN Training & Fine-tuning
    Beyond Passing Tests: A Systematic Review and Controlled Re-evaluation of Techniques for Improving the Quality of LLM-Generated Code
    Fine-tuning Neural Network
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Efficient Agentic Audio-Visual Question Answering through Toolset Pruning and Modality Consolidation
    AI Agents Inference Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    HEDGE: Gated Hypergraph Memory for Scalable Multi-Agent Debate
    AI Agents GPT Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Autonomous Quantum Measurement with Agentic AI
    AI Agents Meta Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Safety & Evaluation
    Discovering Jailbreaks via Curriculum of Models
    GPT Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Evaluating Visual Realism of AI-Generated Videos with Eye Tracking
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Gold vs.~Translation: Are We Measuring Language, Knowledge, or Locality in Translated Benchmarks?
    Machine Learning Neural Network Reinforcement Learning Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    Leaving, Staying, or Living There? Duration Commonsense Reasoning with Human-LLM Co-annotations
    Computer Vision Inference Neural Network Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    AtomTree: A Hierarchical Framework for State-Aware Embodied Instruction Following with LLMs
    AI Agents Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    The Quine Test: How Much of a Model's Self Survives Its Own Description?
    Neural Network Retrieval-Augmented Generation (RAG) Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Learning Scientific Trajectories to Predict Future Biomedical Discoveries
    Embeddings Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Multimodal
    AskStream: When and What to Ask Proactively under Uncertainty in Streaming Video Understanding
    AI Agents Neural Network Reinforcement Learning Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    Explore Where It Matters: Targeted Exploration for Efficient Rover Adaptation
    Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • IEEE Spectrum (AI section) · EN Developer Tools
    Systems Thinking Is Vital in the Age of AI
    IEEE Spectrum: engineers need systems thinking in the age of AI
    Neural Network Reinforcement Learning
    As AI takes on early engineering steps such as research, design generation and simulation, the engineer's role shifts from performing each step to deciding how people, machines and specialists work together, with final decisions remaining a human responsibility.
    Read original (IEEE Spectrum (AI section)) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    Vertiv shares jump 14 percent as data center earnings beat expectations
    Vertiv shares jump 14% as Q3 beat and orders double year over year
    Vertiv reported Q3 2026 net sales of $4.31 billion, up 61%, with adjusted EPS up 78% to $2.21 and orders doubling year on year. It raised its 2026 sales outlook to $14.45-14.85 billion, and the shares rose about 14%.
    Read original (Data Center Dynamics) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    UK budget: Grid connection incentives for data centers under new “covenant”
    UK budget: data centers get grid priority under a new covenant
    Neural Network
    Chancellor John Healey announced a British Data Center Covenant requiring operators to invest locally, create jobs and protect water supplies. Compliant critical sites get priority grid connections and permission for on-site generation while they wait.
    Read original (Data Center Dynamics) ↗
  • Simon Willison's Weblog · EN Developer Tools
    GitHub Octoverse 2026
    GitHub Octoverse 2026: agentic coding triples merged PRs to 220M a month
    AI Agents Deep Learning Neural Network Reinforcement Learning Software Engineering
    At GitHub Universe, EVP Jay Parikh unveiled the 2026 Octoverse report. Merged pull requests tripled in under a year to 220 million per month, and commits hit new highs. Simon Willison calls the numbers a stark picture of how agentic engineering is reshaping activity on GitHub.
    Read original (Simon Willison's Weblog) ↗
  • Data Center Dynamics · EN Funding & M&A
    Neocloud General Compute raises $100m in Series A funding round
    Neocloud General Compute raises $100m Series A at $800m valuation
    AI cloud startup General Compute raised $100 million in a Series A led by Blackbird Ventures and Abstract Ventures at an $800 million post-money valuation, up from $60 million in May. It expects to deploy 75MW in 2027.
    Read original (Data Center Dynamics) ↗
  • OpenAI Blog · EN Developer Tools
    OpenAI and ServiceNow expand partnership across enterprise workflows
    OpenAI and ServiceNow expand partnership across enterprise workflows
    AI Agents GPT OpenAI
    OpenAI and ServiceNow are expanding their partnership to bring OpenAI models and agents into ServiceNow. ServiceNow workflows will also come into ChatGPT and Codex, linking the two platforms in both directions.
    Read original (OpenAI Blog) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    When AI performs, what remains? An integrative review of generative AI and cognitive capital in individuals and organizations
    Deep Learning Generative AI Meta
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Funding & M&A
    Enhanced image forensics through partial C2PA-based provenance information
    Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    "Close enough?" An investigation into multiplication errors in LLMs
    Neural Network Reinforcement Learning Transformer
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Right Numbers, Wrong Questions: Evaluating LLMs on Underspecified Financial Queries
    AI Agents Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Cross-Primitive Consistency in Jev
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Think Before You Act: Decision Gate for LLM Agents
    AI Agents Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    How Deterministic SAST and AI Security Agents Divide the Work: Coverage, Harness Policy and Cost in Snyk VulnBench 2.0
    AI Agents Claude GPT Model Context Protocol (MCP) Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    The Artificial Personality Model: Theory, Implementation, Measurement and Experimental Validation in Conversational Agents
    AI Agents Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗