推論・効率化
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127 件中 91〜120 件目を表示
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Orthogonal and Parametrized Multi-Attribute Steering of LLMs
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Keeping Inference in the Radio: Design and Measurement of a Spiking Accelerator for mmWave ISAC Activity Recognition
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CRISP: Co-designing Pruning and Scheduling for Efficient MoE Inference on Edge Servers
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When Visual Evidence Is Insufficient: How Instructions, Post-Training, and Internal Activations Shape Refusal in Multimodal Language Models
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Learning Quality-Controllable Robot Policies with Iterative Hindsight Relabeling
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PDRVLA: A Vision-Language-Action Model with Physical Dynamics Representations
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Uncovering Why LLMs Fail: From Internal Mechanisms to Adversarial Reasoning Trajectories
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EmbeddingGemma 2: Unified and Efficient Multimodal Representations
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3 Ways to Boost MoE Inference on NVIDIA DGX SparkNVIDIA、DGX Spark上でMoE推論を高速化する3つの方法を紹介NVIDIAの開発者ブログが、DGX SparkでMoE(専門家混合)モデルの推論を速くする3つの方法を解説した。トークン生成を速めるには、まず推論性能を何が制約しているかを見極めることが出発点だとし、Inclusion AIのLing-3.0-flashをバッチサイズ1で評価した結果を例に検討している。
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CoS-VQ: Coordinated Shared-Scale Vector Quantization for Large Language Models
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Watermark Basins: Black-Box Detection of Distilled LLMs
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Uncovering Shortcut Amplification in Video RLVR through the Lens of Perceptual Uncertainty Collapse
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What Survives Distillation? A Mechanistic Interpretability Study of GPT-2 and DistilGPT-2
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Self-Regularized Flow Language Models
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EnergyCal: Taming Loss Spikes in Muon-Family Optimizers for Sparse MoE Training
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AutoVend: Benchmarking LLM Agents on Long-Horizon Autonomous Vending Operations
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Mining the Nineteenth Century for the Thirteenth: Register-Scale Forced Alignment and HTR Bootstrapping via Legacy Regesta and Antiquarian Editions
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JevRec: Linguistic Encoding with Jev-like Decision Modeling for LLM-based Generative Recommendation
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Do We Need an LLM to Know Why Sources Conflict? Decision Models for Knowledge-Conflict Typing in RAG
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Developing a Speech Language Model for Basque
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Auto-Research Arena: Benchmarking and Advancing Auto-Research in Language Modeling
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Information-Theoretic Secure Aggregation With Heterogeneous Client Quantization
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Learning When to Commit: Schedule Distillation for Fast Diffusion Language Models
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Can JEV Support Clinical Trial Criteria Assessment?
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Quantitative Generalization Bounds for Multi-Layer Transformers: A Few Long Strings can Beat Many Short Ones
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Triage: Skip, Skim, or Refine Attention Tiles in Video Diffusion Transformers
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From Self-Confidence to Statistical Accuracy: Scaling Human-in-the-Loop Evaluation with Direct and LLM-Assisted Auditing
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EvoRouter: Cost-Efficient Multi-Agent Routing via Insight-Guided On-Policy Distillation
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Improving JEV Entailment Reranking with Span Readouts and Selective Adaptation
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Active Learning of Conditional Generative Models via the Transport Neural Tangent Kernel