Training & Fine-tuning A

Showing 91–114 of 114
  • arXiv cs.CL (Computation and Language) · EN Training & Fine-tuning
    Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do
    Llama Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Industry Adoption
    Empirical Evaluation of Out-Of-Distribution Performance of Tabular Foundation Models
    Deep Learning Neural Network Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN Training & Fine-tuning
    Physics-Aware End-to-End Deep Reinforcement Learning for Quadcopter Control with Actuator Dynamics
    Algorithms & Theory Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Schrödinger's Cat: Probabilistic Representation and Prediction of Potential Scene Kinematics
    Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs
    Neural Network Retrieval-Augmented Generation (RAG) Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation
    Fine-tuning Meta
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    Evaluating VLMs for Autonomous Agent-Driven Geometry Clipping Detection in Video Game QA
    AI Agents Computer Vision Gemini GPT Llama
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Publickey · JA New Model Releases extract
    Google Cloud、AIが自律的にコードの脆弱性検出からサンドボックス内でのリスク検証、修正までを自動実行。「CodeMender」プレビュー公開
    Google Cloud previews CodeMender, an AI agent that auto-fixes code flaws
    AI Agents Google Machine Learning
    Google Cloud unveiled a preview of CodeMender, an AI agent that autonomously detects code vulnerabilities, validates and reports the risk inside a sandbox, and then applies fixes. Google says it can uncover even complex flaws, aiming to automate security remediation.
    Read original (Publickey) ↗
  • arXiv cs.LG (Machine Learning) · EN Multimodal
    HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone
    Computer Vision Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    DRIFT: Direct-Recursive Intervention-Conditioned Forecasting of ICU Physiological Trajectories
    Retrieval-Augmented Generation (RAG) Reinforcement Learning from Human Feedback (RLHF) Transformer
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Training & Fine-tuning
    WALoMA: A Multitask Wireless Foundation Model via Adaptive Low-Rank Masked Autoencoders
    Deep Learning Fine-tuning Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Training & Fine-tuning
    Detecting CSAM Text-to-Image LoRAs From Weights
    Fine-tuning Inference Meta
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    Shared Voxel-Map-Based Cooperative Indoor UAV Guidance with a Multi-Agent Soft Actor-Critic Controller
    Fine-tuning Neural Network Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Localized Adaptation Reveals Distinct Learning Signatures in Transformers
    Deep Learning Neural Network Reinforcement Learning Transformer
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Training & Fine-tuning
    MemSFT: Mitigating Alignment Tax with an External Parametric Memory
    Fine-tuning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    AMPBench-MT: A Homology-Controlled Benchmark for Antimicrobial Peptide Potency, Spectrum, and Safety Prediction
    Embeddings Neural Network Reinforcement Learning from Human Feedback (RLHF)
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN Training & Fine-tuning
    Towards Robust Reinforcement Learning for Small-Scale Language Model Agents
    AI Agents Fine-tuning Neural Network Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Training & Fine-tuning
    DS@GT ARC at CheckThat! 2026: LLM-Based Trace Ranking and Grouped Reward Modeling for Multilingual Numerical Claim Verification
    Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data
    Machine Learning Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Training & Fine-tuning
    Beyond Scale and Generation: Understanding Language Model-based Entity Matching
    Embeddings Fine-tuning Neural Network Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Industry Adoption
    Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions
    Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    Evaluating Fuzz Testing for Reinforcement Learning Agents
    AI Agents Retrieval-Augmented Generation (RAG) Reinforcement Learning Robotics
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    The Visual Bottleneck: Sparse-Frame Adaptation of MLLMs for Joint Spatial-Temporal Video Grounding
    Fine-tuning Machine Learning Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    EgoPlay: Event-Triggered Video Editing for Egocentric Streams
    Deep Learning Fine-tuning Inference Neural Network Transformer
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗