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Showing 121–150 of 439
  • arXiv cs.LG (Machine Learning) · EN Training & Fine-tuning
    Training Foundation Models with a Single Algorithm
    Algorithms & Theory Fine-tuning Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Comparing Human Role-Players and LLM-Simulated Clients in Online Counselling Training: An Analysis of Counselling Patterns
    Mistral Quantization
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    Advancing Clinical Genomic Analysis with a Skill-Centred Agent
    DeepSeek Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Ramanujan Challenge Results: AI-Assisted Evaluation Pipeline for Multi-Format Proofs
    Deep Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Retrieval as Traversal: Value-Indexed Memory for Stateful Long-Context Agents
    AI Agents Deep Learning Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN Funding & M&A
    Machine Learning-Based Detection of Mobile Money Scan Messages in Ghana: A Comparative Evaluation of Naive Bayes, Support Vector Machine, and Randon Forest Classifiers
    AI Agents Machine Learning Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    On the Fundamental Limits of Prefill-Based Decoding Length Prediction
    Inference Machine Learning Mixture of Experts (MoE) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    TRACER, a time-to-event EHR foundation model for disease detection across health systems
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Efficient Scalable Oversight via Rewinding
    Reinforcement Learning Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    IndicIPR-QA: A Benchmark for Extractive Question Answering on Indian IPR Laws
    GPT Inference Natural Language Processing (NLP) Reinforcement Learning Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Safety & Evaluation
    A Low-Rank Space Captures Linear Alignment Between LLM and Human Neural Activity During Naturalistic Language Listening
    Embeddings Machine Learning Neural Network
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Algebraic World Model: From Exploration to Proofs
    Claude GPT Neural Network Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    AI in the EGI e-infrastructure -- Past experiences and future strategies
    Inference Neural Network Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Agentic University: Collaborative Agents for Personalized Learning
    AI Agents Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Fast and accurate neural triage decoding of ultra-high-rate quantum LDPC codes
    Deep Learning Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    rTaste: Do Research Agents Have Taste? Evaluating Early Stage Research Judgment
    AI Agents Neural Network Natural Language Processing (NLP) Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    MetaRefine: Score Refinement with Multi-Level Features for Image Assessment
    Meta Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    FIRME: Registry-Anchored Memory Graphs for Evolving, Heterogeneous Investor Knowledge
    Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Safety & Evaluation
    Training language models in simulation for psychiatric intake
    Neural Network Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    700MW data center project proposed outside Lansing, Michigan
    700MW data center proposed outside Lansing, Michigan
    A 700MW data center project has been proposed outside Lansing, Michigan. The proposal came from a local economic development agency, and local officials say they were blindsided.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Rural Readiness: Domain Generalization with Adversarially Chosen Domains
    Algorithms & Theory Meta Reinforcement Learning
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  • Data Center Dynamics · EN Developer Tools
    Turkish police make 85 arrests over last month's arson attack against Starlink satellite station in Poland
    Turkey arrests 85 over arson attack on Starlink site in Poland
    Reinforcement Learning
    Turkish police have arrested 85 people over last month's arson attack on a Starlink satellite station in Poland. The net has widened since the attack on September 23.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Glance: The Generator Is Its Own Reranker
    Fine-tuning Retrieval-Augmented Generation (RAG) Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • Simon Willison's Weblog · EN Training & Fine-tuning
    Building a multiplayer game world with autonomous Fable-class models
    Building a multiplayer game world with autonomous Fable-class models
    AI Agents Claude Deep Learning Neural Network Retrieval-Augmented Generation (RAG)
    Simon Willison highlights Jacob Sansbury's piece on building Spawn. Despite a clickbait headline, he calls it a fascinating look at the bleeding edge of agentic engineering with frontier models.
    Read original (Simon Willison's Weblog) ↗
  • OpenAI Blog · EN Safety & Evaluation
    An updated Model Spec for more capable and beneficial AI
    OpenAI updates Model Spec with five core values for capable AI
    OpenAI
    OpenAI published an updated Model Spec describing five core values meant to guide more capable AI toward sound judgment, respect for human agency, and faithfulness to human intent.
    Read original (OpenAI Blog) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Reinforcement learning for control of partial differential equations
    AI Agents Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Learning developmental dynamics from lineage context
    Retrieval-Augmented Generation (RAG) Transformer
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    Soil Moisture Estimation in Precision Agriculture: A Knowledge Distillation Approach
    Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Adaptive search with path-constrained mobile sensors using multi-arm bandits
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    Uncertainty-aware Feedback Loop Diagnosis: integrating reinforcement learning and conformal prediction for reliable wafer defect classification
    Deep Learning Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗