Artificial Intelligence

ToolSmith: A Multi-Agent Framework for Enterprise Tool Creation AAAI 2026 Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA EACL 2026 Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models ACL 2026 Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation EACL 2026 Too Sure for Our Own Good: A User Study on AI Confidence and Human Reliance AAAI 2026 To Paraphrase or Not: Efficient Comment Detoxification with Unsupervised Detoxifiability Discrimination EACL 2026 Top-Down Semantic Refinement for Image Captioning AAAI 2026 Topo-GraT: Learning to Grow with Causal Graph Transformers (Student Abstract) AAAI 2026 TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations CVPR 2026 Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy AAAI 2026 Topology-aware Knowledge Preservation for Class-Incremental Learning AAAI 2026 TopoMA: Topology-Guided Multi-Agent Dense RGB 3D Reconstruction via Distributed Inference CVPR 2026 TopoRec: Point Cloud Recognition Using Topological Data Analysis WACV 2026 TOP-RL: Task-Optimized Progressive Token Pruning with Reinforcement Learning for Vision Language Models AAAI 2026 TORA: Train Once, Realign Anytime for Offline Multi-Objective Reinforcement Learning AAAI 2026 To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples ACL 2026 TouchFormer: A Robust Transformer-based Framework for Multimodal Material Perception AAAI 2026 Toward Artificial Metacognition AAAI 2026 Toward Beginner-Friendly LLMs for Language Learning: Controlling Difficulty in Conversation EACL 2026 Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance AAAI 2026 Toward Causal Foundation World Models: From Representation to Decision-Making AAAI 2026 Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement ACL 2026 Toward Controllable and Trustworthy LLM Reasoning: From Failure Mapping to Cognition-inspired Control and Real-world Impact AAAI 2026 Toward Gaze Target Detection of Young Autistic Children AAAI 2026 Toward Low-Cost yet Effective Temporal Learning for UAV Tracking CVPR 2026