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• Block Sparse Flash Attention
• Biases in the Blind Spot: Detecting What LLMs Fail to Mention
• SoftMatcha 2: A Fast and Soft Pattern Matcher for Trillion-Scale Corpora
• Accelerating Vision Transformers with Adaptive Patch Sizes
• Are they lovers or friends? Evaluating LLMs' Social Reasoning in English and Korean Dialogues
• Bootstrap Off-policy with World Model
• WeVisDoc: From Coverage to Capability for Robust End-to-End Document Parsing
• DeepCompress: A Dual Reward Strategy for Dynamically Exploring and Compressing Reasoning Chains
• MetroLLM-Bench: Evaluating Language Models as Transit Kiosk Runtimes
• SimWAM: A Simple World Action Model for End-to-End Autonomous Driving
• Hierarchical Spatio-Temporal Transformer for Coherent Emergency Department Forecasting
• MieDB-100k: A Comprehensive Dataset for Medical Image Editing
• VDC-Agent: When Video Detailed Captioners Evolve Themselves via Agentic Self-Reflection
• DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training
• FirstAidQA: A Synthetic Dataset for First Aid and Emergency Response in Low-Connectivity Settings
• $μ$pscaling small models: Principled warm starts and hyperparameter transfer
• On the Expressive Power of GNNs for Boolean Satisfiability
• 3DPR: Single Image 3D Portrait Relight using Generative Priors
• Bilevel Layer-Positioning LoRA for Real Image Dehazing
• Stress Testing Factual Consistency Metrics for Long-Document Summarization
• An automatic counting algorithm for the quantification and uncertainty analysis of the number of microglial cells trainable in small and heterogeneous datasets
• Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV
• Feedback Control for Multi-Objective Graph Self-Supervision
• SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels
• Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows
• VERAGMIL: Virtual Environment for Scooping Granular Foods with Imitation Learning Models
• iStructTab: Structured Feature Sequencing for Multimodal Learning of Image and Tabular Data
• Fathom: Per-Query Read Depth for Sparse Decoding over Offloaded KV Caches
• Investigating the Presence and Development of Student Instructor Preferences in a Large-Scale CS1 Course
• From Entropy to Calibrated Uncertainty: Training Language Models to Reason About Uncertainty
• AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions
• NLI:Non-uniform Linear Interpolation Approximation of Nonlinear Operations for Efficient LLMs Inference
• NAUTILUS: A Large Multimodal Model for Underwater Scene Understanding
• Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail Targeting
• Phase-Aligned RoPE for Mixed-Resolution Diffusion Transformer
• Decoupling Defense Strategies for Robust Image Watermarking
• MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP Integration
• Reuse Before You Retrieve: Diagnosing Headroom and Complementarity for Test-Time Augmentation of Embodied Multimodal Policies
• Multi-Aspect Mining and Anomaly Detection for Heterogeneous Tensor Streams
• NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models