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Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs
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Beyond a Single Signal: SPECTREG2, A Unified MultiExpert Anomaly Detector for Unknown Unknowns
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Revisiting Tree Search for LLMs: Gumbel and Sequential Halving for Budget-Scalable Reasoning
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Many Dialects, Many Languages, One Cultural Lens: Evaluating Multilingual VLMs for Bengali Culture Understanding Across Historically Linked Languages and Regional Dialects
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Training-Free Instance-Aware 3D Scene Reconstruction and Diffusion-Based View Synthesis from Sparse Images
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Model Evolution Under Zeroth-Order Optimization: A Neural Tangent Kernel Perspective
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Pruned Adaptation Modules: A Simple yet Strong Baseline for Continual Foundation Models
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Entropy Alone is Insufficient for Safe Selective Prediction in LLMs
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Rethinking Plasticity in Deep Reinforcement Learning
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Explainable Semantic Textual Similarity via Dissimilar Span Detection
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Reward Sharpness-Aware Fine-Tuning for Diffusion Models
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GIDE: Unlocking Diffusion LLMs for Precise Training-Free Image Editing
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Prompt replay: speeding up grpo with on-policy reuse of high-signal prompts
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LLM-based Automated Architecture View Generation: Where Are We Now?
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ALMAB-DC: Active Learning, Multi-Armed Bandits, and Distributed Computing for Sequential Experimental Design and Black-Box Optimization
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Architecture for Multi-Unmanned Aerial Vehicles based Autonomous Precision Agriculture Systems
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On the Role of Batch Size in Stochastic Conditional Gradient Methods
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DSCSNet: A Dynamic Sparse Compression Sensing Network for Closely-Spaced Infrared Small Target Unmixing
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Context Selection for Hypothesis and Statistical Evidence Extraction from Full-Text Scientific Articles
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Is Monitoring Enough? Strategic Agent Selection For Stealthy Attack in Multi-Agent Discussions
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Boundary-Aware Instance Segmentation in Microscopy Imaging
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JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization
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Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows
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Positional Segmentor-Guided Counterfactual Fine-Tuning for Spatially Localized Image Synthesis
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Reframing Long-Tailed Learning via Loss Landscape Geometry
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A Large-Scale Remote Sensing Dataset and VLM-based Algorithm for Fine-Grained Road Hierarchy Classification
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Does AI Homogenize Student Thinking? A Multi-Dimensional Analysis of Structural Convergence in AI-Augmented Essays
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Plant Taxonomy Meets Plant Counting: A Fine-Grained, Taxonomic Dataset for Counting Hundreds of Plant Species
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When Convenience Becomes Risk: A Semantic View of Under-Specification in Host-Acting Agents
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QMoP: Query Guided Mixture-of-Projector for Efficient Visual Token Compression
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DepthTCM: High Efficient Depth Compression via Physics-aware Transformer-CNN Mixed Architecture
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Enhancing Brain Tumor Classification Using Vision Transformers with Colormap-Based Feature Representation on BRISC2025 Dataset
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Domain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data
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Does Mechanistic Interpretability Transfer Across Data Modalities? A Cross-Domain Causal Circuit Analysis of Variational Autoencoders
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ConsRoute:Consistency-Aware Adaptive Query Routing for Cloud-Edge-Device Large Language Models
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Amortized Variational Inference for Logistic Regression with Missing Covariates
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CornOrb: A Multimodal Dataset of Orbscan Corneal Topography and Clinical Annotations for Keratoconus Detection
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Accelerate Vector Diffusion Maps by Landmarks
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Graph Fusion Across Languages using Large Language Models
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Demystifying Low-Rank Knowledge Distillation in Large Language Models: Convergence, Generalization, and Information-Theoretic Guarantees
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Graph of States: Solving Abductive Tasks with Large Language Models
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The Library Theorem: How External Organization Governs Agentic Reasoning Capacity
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Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity
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Conversation Tree Architecture: A Structured Framework for Context-Aware Multi-Branch LLM Conversations
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WARBENCH: A Comprehensive Benchmark for Evaluating LLMs in Military Decision-Making
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Fusing Memory and Attention: A study on LSTM, Transformer and Hybrid Architectures for Symbolic Music Generation
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Sonny: Breaking the Compute Wall in Medium-Range Weather Forecasting
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Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting
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When Models Judge Themselves: Unsupervised Self-Evolution for Multimodal Reasoning
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Closed-form conditional diffusion models for data assimilation
