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Core AI

68,645 papers (13 classified directly here)

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)
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Papers (including subtopics)

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 Topology-aware Knowledge Preservation for Class-Incremental Learning AAAI 2026 TopoMA: Topology-Guided Multi-Agent Dense RGB 3D Reconstruction via Distributed Inference CVPR 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 Toward Multimodal Fake News Detection by Multi-perspective Rationale Generation and Verification AAAI 2026 Towards a Common Framework for Autoformalization AAAI 2026 Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators AAAI 2026 Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning AAAI 2026 Toward Safe and Human-Aligned Game Conversational Recommendation via Multi-Agent Decomposition EACL 2026 Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors AAAI 2026