Artificial Intelligence

AdaRadar: Rate Adaptive Spectral Compression for Radar-based Perception CVPR 2026 AdaReason: Progressive Training of Multi-LoRA Adapters for Budget-Adaptive Language Reasoning Models AAAI 2026 Ada-RS: Adaptive Rejection Sampling for Selective Thinking ACL 2026 AdaSpark: Adaptive Sparsity for Efficient Long-Video Understanding CVPR 2026 AdaSVD: Singular Value Decomposition with Adaptive Mechanisms for Large Multimodal Models CVPR 2026 A Data-Centric Analysis of the Impact of Training Data Quality vs. Quantity on P300 Brain-Computer Interface Performance (Student Abstract) AAAI 2026 A Data-Centric Approach to Generalizable Speech Deepfake Detection ACL 2026 Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning CVPR 2026 Addressing Polarization and Unfairness in Performative Prediction AAAI 2026 Addressing the Ecological Fallacy in Larger LMs with Human Context CoNLL 2026 A Debiased Reconstruction-based Framework for Training-Free Detection of AI-Generated Images CVPR 2026 AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization AAAI 2026 A Difference-in-Difference Approach to Detecting AI-Generated Images CVPR 2026 A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation AAAI 2026 A Domain-specific Heuristic for PDDL+-based Traffic Signal Optimisation AAAI 2026 ADSeeker: A Knowledge-Grounded Reasoning Framework for Industry Anomaly Detection and Reasoning CVPR 2026 A Dual-Task Paradigm to Investigate Sentence Comprehension Strategies in Language Models ACL 2026 Advanced Black-Box Tuning of Large Language Models with Limited API Calls AAAI 2026 AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following ACL 2026 Advances in PAC-Bayesian certification of deep neural networks: tighter closed-form inequalities and optimization of bounds on non-differentiable losses UAI 2026 Advancing Image Classification with Discrete Diffusion Classification Modeling CVPR 2026 Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation WACV 2026 Advancing Multimodal Teacher Sentiment Analysis: The Large-Scale T-MED Dataset & the Effective AAM-TSA Model AAAI 2026 Advancing Out-of-Distribution Detection Across Diverse Scenarios AAAI 2026 Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization AAAI 2026