Artificial Intelligence

Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding CLeaR 2026 De-biased Natural Language Egocentric Task Verification via Prototypical Evidence Learning AAAI 2026 Debiased Orthogonal Boundary-Driven Efficient Noise Mitigation ACL 2026 Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought EACL 2026 Debiasing Reward Models via Causally Motivated Inference-Time Intervention ACL 2026 Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models ACL 2026 Decentralized Online Convex Optimization with Unknown Feedback Delays AAAI 2026 Decidable Multi-agent Epistemic Planning: A Situation Calculus Approach AAAI 2026 DecIF: Improving Instruction-Following through Decomposition ACL 2026 Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents ACL 2026 DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing ACL 2026 DecoCal: Decoding with Calibration in Diffusion Large Language Models ACL 2026 Decoding 3D Perception via BrainSSD: Synergistic Fusion of EEG Representations from Static and Dynamic Visual Streams CVPR 2026 Decoding Scientific Experimental Images: The SPUR Benchmark for Perception, Understanding, and Reasoning ACL 2026 Decoding the Market’s Pulse: Context-Enriched Agentic Retrieval Augmented Generation for Predicting Post-Earnings Price Shocks EACL 2026 Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation EACL 2026 Decoding-Unlearning: Fact Forgetting via Entropy-Guided Inference ACL 2026 Decompose and Conquer: Compositional Reasoning for Zero-Shot Temporal Action Localization AAAI 2026 Decompose and Transfer: CoT-Prompting Enhanced Alignment for Open-Vocabulary Temporal Action Detection CVPR 2026 Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA AAAI 2026 Decomposing Ensemble Spread in Lorenz ’96 with Learned Stochastic Parameterizations UAI 2026 Deconstructing Instruction-Following: A New Benchmark for Granular Evaluation of Large Language Model Instruction Compliance Abilities EACL 2026 DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHF AAAI 2026 Decoupled and Reusable Adaptation for Efficient Cross-Modal Transfer CVPR 2026 Decoupled Generative Modeling for Human-Object Interaction Synthesis CVPR 2026