Artificial Intelligence

BURNS: Backward Underapproximate Reachability for Neural-Feedback-Loop Systems L4DC 2026 Business as Rulesual: A Benchmark and Framework for Business Rule Flow Modeling with LLMs ACL 2026 BUSSARD: Normalizing Flows for Bijective Universal Scene-Specific Anomalous Relationship Detection CVPR 2026 BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs ACL 2026 C2: Scalable Rubric-Augmented Reward Modeling from Binary Preferences ACL 2026 CAAC: Confidence-Aware Attention Calibration to Reduce Hallucinations in Large Vision-Language Models WACV 2026 CaBSALLM: Efficient Context-Aware Batch Annotation of Conversational Streams with Large Language Models ACL 2026 CacheNotes: Task-Aware Key-Value Cache Compression for Reasoning-Intensive Knowledge Tasks EACL 2026 CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing ACL 2026 CADFS: A Big CAD Program Dataset and Framework for Computer-Aided Design with Large Language Models CVPR 2026 CADMate: Generating CAD Assembly Plan with Geometric Chain-of-Thought and Spatial Physical Rewards ACL 2026 CAIC: Congestion-Aware Intent Communication for Multi-Agent Reinforcement Learning UAI 2026 CAIRE: Cultural Attribution of Images with Retrieval EACL 2026 CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractions CoNLL 2026 CAKE: Causal-Guided Adaptive Knowledge Editing for LLMs ACL 2026 CalibBEV: LiDAR-Camera Calibration via BEV Alignment WACV 2026 Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QA ACL 2026 Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT AAAI 2026 Calibrating Beyond English: Language Diversity for Better Quantized Multilingual LLMs EACL 2026 Calibrating Inference Time Alignment with Sequence-level Risk Accumulation ACL 2026 Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation ACL 2026 Calibration-Aware Policy Optimization for Reasoning LLMs ACL 2026 Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models ACL 2026 CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge AAAI 2026 CAMEC: Complexity-Aware Multi-Expert Collaboration for Reliable Chinese Medical Question Answering ACL 2026