学習・ファインチューニング A
114 件中 91〜114 件目を表示
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Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do
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Empirical Evaluation of Out-Of-Distribution Performance of Tabular Foundation Models
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Physics-Aware End-to-End Deep Reinforcement Learning for Quadcopter Control with Actuator Dynamics
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Schrödinger's Cat: Probabilistic Representation and Prediction of Potential Scene Kinematics
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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs
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Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation
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Evaluating VLMs for Autonomous Agent-Driven Geometry Clipping Detection in Video Game QA
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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、脆弱性を自律検出・修正するAIエージェント「CodeMender」公開Google Cloudは、コードの脆弱性を自律的に検出し、サンドボックス内でリスクを検証・報告した上で修正まで実行するAIエージェント「CodeMender」のプレビュー版を公開した。複雑な脆弱性の発見にも対応するとしており、セキュリティ対応の自動化を狙う。
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HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone
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DRIFT: Direct-Recursive Intervention-Conditioned Forecasting of ICU Physiological Trajectories
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WALoMA: A Multitask Wireless Foundation Model via Adaptive Low-Rank Masked Autoencoders
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Detecting CSAM Text-to-Image LoRAs From Weights
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Shared Voxel-Map-Based Cooperative Indoor UAV Guidance with a Multi-Agent Soft Actor-Critic Controller
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Localized Adaptation Reveals Distinct Learning Signatures in Transformers
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MemSFT: Mitigating Alignment Tax with an External Parametric Memory
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AMPBench-MT: A Homology-Controlled Benchmark for Antimicrobial Peptide Potency, Spectrum, and Safety Prediction
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Towards Robust Reinforcement Learning for Small-Scale Language Model Agents
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DS@GT ARC at CheckThat! 2026: LLM-Based Trace Ranking and Grouped Reward Modeling for Multilingual Numerical Claim Verification
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DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data
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Beyond Scale and Generation: Understanding Language Model-based Entity Matching
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Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions
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Evaluating Fuzz Testing for Reinforcement Learning Agents
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The Visual Bottleneck: Sparse-Frame Adaptation of MLLMs for Joint Spatial-Temporal Video Grounding
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EgoPlay: Event-Triggered Video Editing for Egocentric Streams