Training & Fine-tuning

A
Showing 61–90 of 118
  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    Closed Gates Leak: Decomposing Adjacent-Layer Cancellation in Gated Language Models
    Machine Learning Neural Network Retrieval-Augmented Generation (RAG) Transformer
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    When Does Closed-Loop Curriculum Adaptation Help GRPO? An Analysis on Countdown
    Deep Learning Fine-tuning Machine Learning Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN Training & Fine-tuning
    Author-Informed Stance Detection: A Dataset and Findings
    Fine-tuning Neural Network Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Training & Fine-tuning
    How Architecture, Typology, and Adaptation Strategies Shape ASR for Low-Resource African Languages: A Controlled Empirical Study
    Fine-tuning Speech Processing
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • 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 Training & Fine-tuning
    Interventional Training Reduces Causal Bypass in In-Context Introspection
    Fine-tuning Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Latent Decision Flow Rewards for Clinical Guideline Reasoning
    Fine-tuning Neural Network Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • 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)) ↗
  • Publickey · JA New Model Releases
    オラクル、社員が業務アプリをAIで自動作成、Oracle Cloud上で共有できる「Oracle App Composer」発表。Oracle AI World 2026
    Oracle unveils App Composer for AI-built apps on Oracle Cloud
    Machine Learning Reinforcement Learning
    At Oracle AI World 2026 in Las Vegas, Oracle announced Oracle App Composer, which lets employees generate business apps with AI, deploy them on Oracle Cloud and share them there. Details beyond the announcement were not in the source excerpt.
    Read original (Publickey) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    Curriculum-Based Deep Reinforcement Learning for Robust Autonomous Rocket Landing under Atmospheric Uncertainty
    Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    Co-Evolving Policy and Rubric via Capability Awareness for Open-Ended Generation
    Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    Persona Learning from Feedback for Personalized AI Assistants
    Fine-tuning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    PT$^3$: Prototype-Guided Self-Supervised Pretraining for Generalizable mmWave Human Point Cloud Representation
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    From Leniency to Suspicion: How an Open Post-Training Recipe Changes Whom LLM Fact-Checkers Believe
    Fine-tuning Meta Mistral
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    DES-JEPA: Learning a Shared Vocabulary for High-Dimensional Discrete Event Sequences
    Embeddings Fine-tuning Inference Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    Predict the Reward, Not the World: World Reward Models for ML Agents
    AI Agents Machine Learning Neural Network Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • ITmedia AI+ · JA New Model Releases
    Discord、公開サーバの会話をGoogle検索などの対象に　プライバシーへの懸念も
    Discord to open public server chats to web search; privacy concerns rise
    Google
    Discord announced that conversations in some public servers will become searchable via web engines such as Google. AI-generated summaries go public from mid-November, and full post text becomes searchable from mid-December. In Japan the feature is on by default, so users must change settings to opt out, amid privacy and AI-training concerns.
    Read original (ITmedia AI+) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Heads of Security: Learned Attention Gates Improve Prompt Injection Robustness
    Fine-tuning GPT Llama Reinforcement Learning Speech Processing
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Can LLMs Uncover Hidden Physical Laws through Free Exploration?
    AI Agents GPT Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN Training & Fine-tuning
    MuonGS: Pretraining LLMs with Relaxed Weight-Norm Control
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    What Improves During Pretraining? Tracking Knowledge Acquisition with Point-in-Time Models
    Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    GAS-PFN: Graph-Aware Spatiotemporal Prior-Data Fitted Networks for Zero-Shot Traffic Forecasting
    Inference Retrieval-Augmented Generation (RAG) Transformer
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation
    Embeddings Machine Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    When, Where, and What to Correct: Human-Guided Adaptive Residual Correction for Robot Policies
    Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Publickey · JA Infrastructure & Hardware
    Oracle CloudがGoogle TPU導入を発表、2027年に提供を開始。Oracle AI World 2026
    Oracle Cloud to add Google TPUs, with service launching in 2027
    Google Machine Learning Reinforcement Learning
    Oracle announced it will bring Google's AI-specific TPU chips to Oracle Cloud Infrastructure, with Google TPU services becoming available from 2027. The announcement was made at Oracle AI World 2026.
    Read original (Publickey) ↗
  • arXiv cs.LG (Machine Learning) · EN Training & Fine-tuning
    A note on data-efficient finetuning of vision foundation models
    Fine-tuning Machine Learning Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN Training & Fine-tuning
    Teach reality, not ethics: a drop-in continued-pretraining corpus installs coupled human-biosphere-AI welfare dispositions across model families
    AI Agents Llama Machine Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Safety & Evaluation
    Follow the Gradient: Tracing Safety Degradation Back to Training Data
    Deep Learning Embeddings Fine-tuning Llama Transformer
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    PerceptRL: Making Visual Perception Rewardable in MLLMs from Answers to Interactions
    Machine Learning Neural Network Reinforcement Learning Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    What Carries Forward? Pretraining Disclosure Across Language Model Releases
    Llama Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗