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Beyond Scattered Acceptance: Fast and Coherent Inference for DLMs via Longest Stable Prefixes
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DEBISS: a Corpus of Individual, Semi-structured and Spoken Debates
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NCTB-QA: A Large-Scale Bangla Educational Question Answering Dataset and Benchmarking Performance
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EdgeDAM: Real-time Object Tracking for Mobile Devices
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HALP: Detecting Hallucinations in Vision-Language Models without Generating a Single Token
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Kraus Constrained Sequence Learning For Quantum Trajectories from Continuous Measurement
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Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval
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Towards 3D Scene Understanding of Gas Plumes in LWIR Hyperspectral Images Using Neural Radiance Fields
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Spatiotemporal Heterogeneity of AI-Driven Traffic Flow Patterns and Land Use Interaction: A GeoAI-Based Analysis of Multimodal Urban Mobility
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Thermodynamic Response Functions in Singular Bayesian Models
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SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis
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Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline
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Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation
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Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models
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Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought
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Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
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Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels
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POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation
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Accelerating Text-to-Video Generation with Calibrated Sparse Attention
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RoboPocket: Improve Robot Policies Instantly with Your Phone
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FaceCam: Portrait Video Camera Control via Scale-Aware Conditioning
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Transformer-Based Inpainting for Real-Time 3D Streaming in Sparse Multi-Camera Setups
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Thinking with Spatial Code for Physical-World Video Reasoning
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On the Value of Tokeniser Pretraining in Physics Foundation Models
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From Decoupled to Coupled: Robustness Verification for Learning-based Keypoint Detection with Joint Specifications
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DreamCAD: Scaling Multi-modal CAD Generation using Differentiable Parametric Surfaces
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Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior
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Real-Time AI Service Economy: A Framework for Agentic Computing Across the Continuum
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NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution
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Safer Reasoning Traces: Measuring and Mitigating Chain-of-Thought Leakage in LLMs
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RACAS: Controlling Diverse Robots With a Single Agentic System
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Adversarial Batch Representation Augmentation for Batch Correction in High-Content Cellular Screening
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Making Reconstruction FID Predictive of Diffusion Generation FID
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Relational Semantic Reasoning on 3D Scene Graphs for Open World Interactive Object Search
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Mining Beyond the Bools: Learning Data Transformations and Temporal Specifications
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The Fragility Of Moral Judgment In Large Language Models
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Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces
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The Value of Graph-based Encoding in NBA Salary Prediction
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Reinforcement Learning for Power-Flow Network Analysis
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Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction
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OWL: A Novel Approach to Machine Perception During Motion
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SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection
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FreeTxt-Vi: A Benchmarked Vietnamese-English Toolkit for Segmentation, Sentiment, and Summarisation
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Improved Scaling Laws via Weak-to-Strong Generalization in Random Feature Ridge Regression
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Parallelization Strategies for Dense LLM Deployment: Navigating Through Application-Specific Tradeoffs and Bottlenecks
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Longitudinal Lesion Inpainting in Brain MRI via 3D Region Aware Diffusion
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Warm Starting State-Space Models with Automata Learning
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Autonomous Algorithm Discovery for Ptychography via Evolutionary LLM Reasoning
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MultiHaystack: Benchmarking Multimodal Retrieval and Reasoning over 40K Images, Videos, and Documents
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Towards Robust Retrieval-Augmented Generation Based on Knowledge Graph: A Comparative Analysis
