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PersianPunc: A Large-Scale Dataset and BERT-Based Approach for Persian Punctuation Restoration
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Frequency-Aware Error-Bounded Caching for Accelerating Diffusion Transformers
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How important are the genes to explain the outcome - the asymmetric Shapley value as an honest importance metric for high-dimensional features
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GALACTIC: Global and Local Agnostic Counterfactuals for Time-series Clustering
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Machine Learning for analysis of Multiple Sclerosis cross-tissue bulk and single-cell transcriptomics data
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FairFinGAN: Fairness-aware Synthetic Financial Data Generation
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Dark3R: Learning Structure from Motion in the Dark
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Bayes with No Shame: Admissibility Geometries of Predictive Inference
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Why Depth Matters in Parallelizable Sequence Models: A Lie Algebraic View
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On the Statistical Optimality of Optimal Decision Trees
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Preserving Continuous Symmetry in Discrete Spaces: Geometric-Aware Quantization for SO(3)-Equivariant GNNs
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Building Effective AI Coding Agents for the Terminal: Scaffolding, Harness, Context Engineering, and Lessons Learned
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A Multilingual Human Annotated Corpus of Original and Easy-to-Read Texts to Support Access to Democratic Participatory Processes
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Ailed: A Psyche-Driven Chess Engine with Dynamic Emotional Modulation
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InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Context
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Exploring the potential and limitations of Model Merging for Multi-Domain Adaptation in ASR
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DiSCTT: Consensus-Guided Self-Curriculum for Efficient Test-Time Adaptation in Reasoning
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PACE: A Personalized Adaptive Curriculum Engine for 9-1-1 Call-taker Training
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Progressive Residual Warmup for Language Model Pretraining
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Learning Causal Structure of Time Series using Best Order Score Search
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Embedded Inter-Subject Variability in Adversarial Learning for Inertial Sensor-Based Human Activity Recognition
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Robust Node Affinities via Jaccard-Biased Random Walks and Rank Aggregation
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OpenFrontier: General Navigation with Visual-Language Grounded Frontiers
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PRISM: Personalized Refinement of Imitation Skills for Manipulation via Human Instructions
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Prediction-Powered Conditional Inference
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ORMOT: A Dataset and Framework for Omnidirectional Referring Multi-Object Tracking
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Fusion-CAM: Integrating Gradient and Region-Based Class Activation Maps for Robust Visual Explanations
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Legal interpretation and AI: from expert systems to argumentation and LLMs
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On the Necessity of Learnable Sheaf Laplacians
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Harnessing Synthetic Data from Generative AI for Statistical Inference
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Loop Closure via Maximal Cliques in 3D LiDAR-Based SLAM
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Judge Reliability Harness: Stress Testing the Reliability of LLM Judges
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An Exploration-Analysis-Disambiguation Reasoning Framework for Word Sense Disambiguation with Low-Parameter LLMs
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Koopman Regularized Deep Speech Disentanglement for Speaker Verification
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Video-based Locomotion Analysis for Fish Health Monitoring
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Dissociating Direct Access from Inference in AI Introspection
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The Spatial and Temporal Resolution of Motor Intention in Multi-Target Prediction
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MobileFetalCLIP: Selective Repulsive Knowledge Distillation for Mobile Fetal Ultrasound Analysis
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An interpretable prototype parts-based neural network for medical tabular data
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Tool-Genesis: A Task-Driven Tool Creation Benchmark for Self-Evolving Language Agent
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RelaxFlow: Text-Driven Amodal 3D Generation
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A Novel Hybrid Heuristic-Reinforcement Learning Optimization Approach for a Class of Railcar Shunting Problems
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Ensembling Language Models with Sequential Monte Carlo
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SAIL: Similarity-Aware Guidance and Inter-Caption Augmentation-based Learning for Weakly-Supervised Dense Video Captioning
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Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model
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Latent Wasserstein Adversarial Imitation Learning
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NaiLIA: Multimodal Nail Design Retrieval Based on Dense Intent Descriptions and Palette Queries
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Residual RL--MPC for Robust Microrobotic Cell Pushing Under Time-Varying Flow
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RealWonder: Real-Time Physical Action-Conditioned Video Generation
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Distributed Partial Information Puzzles: Examining Common Ground Construction Under Epistemic Asymmetry
