推論・効率化
A
127 件中 31〜60 件目を表示
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TextSeal2: Distortion-Free LLM Watermarking with Copula Mixing and Memoryless Races
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Every Token Needs Its Own Teacher: Multi-teacher Adaptive On-policy Self-distillation
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Comparing Human Role-Players and LLM-Simulated Clients in Online Counselling Training: An Analysis of Counselling Patterns
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On the Fundamental Limits of Prefill-Based Decoding Length Prediction
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NEOPIC: A Neural Operator Framework for Particle-based Kinetic Plasma Simulations
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IndicIPR-QA: A Benchmark for Extractive Question Answering on Indian IPR Laws
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AI in the EGI e-infrastructure -- Past experiences and future strategies
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Fast and accurate neural triage decoding of ultra-high-rate quantum LDPC codes
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Soil Moisture Estimation in Precision Agriculture: A Knowledge Distillation Approach
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Uncertainty-aware Feedback Loop Diagnosis: integrating reinforcement learning and conformal prediction for reliable wafer defect classification
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Don't Lose the Thread: Empowering Long-Horizon LLM Agents with Cognitive Resource Self-Allocation
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A Unified Hessian-Guided Framework for Post-Training Quantization
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Radiology Guideline-derived Decision Graph for Efficient Clinical Decision Support
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How to Loop Your Transformer: Loop Scaling, Specialization, and Parallel Inference
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Rimuru: Unified Memory Management for Modern LLM Serving via Elastic Expert Offloading
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DolphinRouting: Cluster-Level Binary Routing for Disaggregated LLM Inference Serving
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Only Accepted Tokens Count: An Energy Accounting of Speculative Decoding Under Latency Targets
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Latent Path Exploration via Potential-Guided Subtrajectory Balance
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TaskFrame: Connecting Task-Level Planning with Frame-Level Control for Game Agents
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ScienceJudge: Pattern Perturbation Augmentation for Sentence-Level Scientific Claim Verification
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EpiAgent: Epistemic Self-Play for LLM Agents
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Intelligence Report: SNSのAI分析からみる米中間選挙Sakana AI、SNS約71万件の反応をAIで分析し米テキサス州上院選の情勢を読むSakana AIは、SNS上の約71万件の反応をAIで分析した米中間選挙のケーススタディを公開した。テキサス州上院選では、パクストン候補への支持の多くが党内の動員で、決選後に約5割から2割弱へ下がったと推定。評価の転換は、主要評価機関の判断変更より約2か月早く現れたという。
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One Vector or Many? Clustered Optimal-Transport Steering under Quantization
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Attention, Dynamic Wave and Hybrid Sequence Mixers in Language Models
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KV Cache Quantization for Diffusion Language Models
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Topology Survives Shuffling: Robust Long-Context Memory Access Prediction for Graph Analytics
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Smooth Action Chunking Via Movement-Primitive Representations for Imitation Learning
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LinQuant: Functional Invariances for Low-Precision Linear Recurrences
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MulClip: A table-free activation function with monotonic and folding regimes for reservoir computing on microcontrollers
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Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE Inference