Papers
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GroupGuard: A Framework for Modeling and Defending Collusive Attacks in Multi-Agent Systems
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Bidirectional Cross-Attention Fusion of High-Res RGB and Low-Res HSI for Multimodal Automated Waste Sorting
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Sat-JEPA-Diff: Bridging Self-Supervised Learning and Generative Diffusion for Remote Sensing
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ToolFlood: Beyond Selection -- Hiding Valid Tools from LLM Agents via Semantic Covering
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DCP-CLIP:A Coarse-to-Fine Framework for Open-Vocabulary Semantic Segmentation with Dual Interaction
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LLM-Guided Reinforcement Learning for Audio-Visual Speech Enhancement
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EviAgent: Evidence-Driven Agent for Radiology Report Generation
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GenLie: A Global-Enhanced Lie Detection Network under Sparsity and Semantic Interference
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IMS3: Breaking Distributional Aggregation in Diffusion-Based Dataset Distillation
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USIS-PGM: Photometric Gaussian Mixtures for Underwater Salient Instance Segmentation
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sebis at ArchEHR-QA 2026: How Much Can You Do Locally? Evaluating Grounded EHR QA on a Single Notebook
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VID-AD: A Dataset for Image-Level Logical Anomaly Detection under Vision-Induced Distraction
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vla-eval: A Unified Evaluation Harness for Vision-Language-Action Models
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EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram Synthesis
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Leveraging a Statistical Shape Model for Efficient Generation of Annotated Training Data: A Case Study on Liver Landmarks Segmentation
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Shapes are not enough: CONSERVAttack and its use for finding vulnerabilities and uncertainties in machine learning applications
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Chunk-Guided Q-Learning
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FLUX: Data Worth Training On
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When Visual Privacy Protection Meets Multimodal Large Language Models
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Exploiting temporal parallelism for LSTM Autoencoder acceleration on FPGA
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Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models
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Faithful or Just Plausible? Evaluating the Faithfulness of Closed-Source LLMs in Medical Reasoning
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VAD4Space: Visual Anomaly Detection for Planetary Surface Imagery
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Human-like Object Grouping in Self-supervised Vision Transformers
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TDMM-LM: Bridging Facial Understanding and Animation via Language Models
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Location Aware Embedding for Geotargeting in Sponsored Search Advertising
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A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning
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PhyGaP: Physically-Grounded Gaussians with Polarization Cues
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The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records
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U-Face: An Efficient and Generalizable Framework for Unsupervised Facial Attribute Editing via Subspace Learning
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Towards Generalizable Deepfake Detection via Real Distribution Bias Correction
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Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge Graphs
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Formal Abductive Explanations for Navigating Mental Health Help-Seeking and Diversity in Tech Workplaces
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Multi-Grained Vision-Language Alignment for Domain Generalized Person Re-Identification
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Aumann-SHAP: The Geometry of Counterfactual Interaction Explanations in Machine Learning
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SemEval-2026 Task 6: CLARITY -- Unmasking Political Question Evasions
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Traffic and weather driven hybrid digital twin for bridge monitoring
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Benchmarking Open-Source PPG Foundation Models for Biological Age Prediction
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Intrinsic Tolerance in C-Arm Imaging: How Extrinsic Re-optimization Preserves 3D Reconstruction Accuracy
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What Counts as Real? Speech Restoration and Voice Quality Conversion Pose New Challenges to Deepfake Detection
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Probing neural audio codecs for distinctions among English nuclear tunes
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NepTam: A Nepali-Tamang Parallel Corpus and Baseline Machine Translation Experiments
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Demand-Driven Context: A Methodology for Building Enterprise Knowledge Bases Through Agent Failure
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TMPDiff: Temporal Mixed-Precision for Diffusion Models
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A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data
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Gated Graph Attention Networks for Predicting Duration of Large Scale Power Outages Induced by Natural Disasters
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Conditioning on a Volatility Proxy Compresses the Apparent Timescale of Collective Market Correlation
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MotionCFG: Boosting Motion Dynamics via Stochastic Concept Perturbation
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Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images
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Enhancing Mental Health Classification with Layer-Attentive Residuals and Contrastive Feature Learning
