Artificial Intelligence

TargetVAU: Multimodal Anomaly-Aware Reasoning for Target Behavior Understanding in Videos AAAI 2026 TartanMaroon: Multi-Agent Academic Advising with Iterative Negotiation and Transparent Collaboration ACL 2026 TAR: Token-Aware Refinement for Fine-grained Generalized Category Discovery CVPR 2026 Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with Constraints ACL 2026 Task-aware Block Pruning with Output Distribution Signals for Large Language Models EACL 2026 Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios ACL 2026 Task-Aware Meta-Learning on Heterogeneous Knowledge Graph for POI Recommendation AAAI 2026 Task-Aware Retrieval Augmentation for Dynamic Recommendation AAAI 2026 Task Expansion and Cross Refinement for Open-World Conditional Modeling UAI 2026 TaskForce: Cooperative Multi-agent Reinforcement Learning for Multi-task Optimization CVPR 2026 Task-Free Continual Learning via Order-Invariant Linearized Adaptation and Density-Guided Adapter Routing UAI 2026 TaskIT: Memory-Efficient Fine-Tuning of Multi-LoRA LLMs via Cross-Task Importance Transfer CVPR 2026 Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data AAAI 2026 TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts CVPR 2026 Taxation Perspectives from Large Language Models: A Case Study on Additional Tax Penalties EACL 2026 TaxonRL: Reinforcement Learning with Intermediate Rewards for Interpretable Fine-Grained Visual Reasoning WACV 2026 TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice ACL 2026 TCoT: Trajectory Chain-of-Thoughts for Robotic Manipulation with Failure Recovery in Vision-Language-Action Model AAAI 2026 TDATR: Improving End-to-End Table Recognition via Table Detail-Aware Learning and Cell-Level Visual Alignment CVPR 2026 TD-M(PC)$^2$: Improving Temporal Difference MPC Through Policy Constraint L4DC 2026 TDSS: Task Dynamic-Synergistic Skill Adaptation for Boosting Efficient and Scalable Multi-Task Learning in Dense Visual Prediction AAAI 2026 Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling ACL 2026 Teaching and Critiquing Conceptualization and Operationalization in NLP EACL 2026 Teaching DINOv3 About Partial 3D Geometry: A Self-Supervised Geometry-Aware Approach CVPR 2026 Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies ACL 2026