IntelliAudit: Using Large Language Models to Evaluate Audit Controls
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Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time…
Gaming Without an Attacker: Benchmark Fingerprinting in LLM-Driven Search Under Selection…
Parameter Exploration for RLVR via Variational Learning
Evidence-Grounded Forensic Reasoning for Detecting and Grounding Multi-Modal Media Manipu…
TomaMMU: A Comprehensive Multimodal Understanding Benchmark for Tomato Leaf Diseases
KGCaRe: Explainable Complex Conditional Question Answering using Automatic Knowledge Grap…
Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Conta…
Defining Decentralization: An Ontological Perspective
Rethinking Factor Sharing in Federated LoRA: A Rank-Aware Adaptive Approach
Can We Optimize the Performance-Carbon Emission Break-Even Point?: The Quest for Greener …
Abstracted Away: Resisting Alienation and Ungrounded Abstraction in AI Research Communiti…
Eco-SoC: A Sustainable VLSI Architecture for Energy-Proportional Artificial Intelligence
Confusion-Geometry Rebalancing for Long-Tailed Adversarial Training
Learning from Consensus and Disagreement: Unsupervised On-Policy Self-Distillation with M…
Hybrid Neural-Classical Correction for Frozen Time Series Foundation Models: A Comprehens…
NeuroRefiner: Morphology-Aware Multi-Agent Refinement for 3D Fluorescence Microscopy Neur…
Verication-driven closed-loop multi-agent large language modelframework for code-complian…
Persistent Semantic Entities in Tool-Augmented LLM Systems
ActBench: Self-Evolving Benchmark of Behavioral Safety in Cowork Agents
Structure-Enhanced Features and Quality-Aware Dynamic Anchor Scoring for Robust Lane Dete…
TSPORec: Token Selection via Preference Optimization for LLM-Based Sequential Recommendat…
LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node s…
On-Device Multi-Species Malaria Detection with Uncertainty-Calibrated Slide-Level Aggrega…
Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Doc…
CDGC-Net: 3D Medical Image Segmentation with Cooperative Dual-Scale Self-Attention and Gr…
Distributed Optimization with Streaming Data: A Temporal Weighting Perspective
Deep Learning based Detection of Fishing Vessels and Fishing Monitoring using Nightlight …
FeedbackTrack: Visual-Cortex-Inspired Cross-Frame Feedback for Transformer Tracking
Beyond Uniform Restoration: Empowering All-in-One Restoration with Pixel-Level Multimodal…