Correcting WHERE, Preserving HOW: Compositional Generalization for Vision-Language-Action Models via Referential Guidance
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New papers, breakthroughs and academic AI research
Finite-Horizon Fisher Memory in Two-Sided Power-Bounded Recurrent Systems
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CORD: Learning Reusable Degradation Representations Across Heterogeneous Physical Systems
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Formalizing the Sampling Design Space of Diffusion-Based Generative Models via Adaptive Solvers and Wasserstein-Bounded Timesteps
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WASIL: In-the-Wild Arabic Spoken Interactions with LLMs
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TopTimeNet: Topologically-assisted time-series classification model
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Fast Regularized Policy Mirror Descent with One-Step TD Updates
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SHIFT-Truck: A High-Fidelity Aerodynamics Dataset and Benchmark for Pickup Trucks
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RATIO: Reasoning Analysis and Token-level Inference Optimization for Quantized Reasoning Models
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Gaussian Stippling: Efficient Sorting-Free 3D Gaussian Rendering through Hybrid Sampling and Spatiotemporal Reconstruction
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Linguistic Loopholes in LLM Unlearning: From a 174-Language Benchmark to Coverage-Aware Unlearning
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Doc2LoRA Provides Decodable Representations of Scientific Ideas
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