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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes CLeaR 2026 Causal Importance for Physics-Informed Machine Learning CLeaR 2026 Causal Influences over Social Learning Networks JMLR 2026 Causality-Aligned Semantic Recovery for Incomplete Cross-Modal Retrieval AAAI 2026 Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 Causality-Driven Audits of Model Robustness WACV 2026 Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs AAAI 2026 Causality in Video Diffusers is Separable from Denoising CVPR 2026 Causality Matters: How Temporal Information Emerges in Video Language Models AAAI 2026 CausalLens: Sensitivity-Guided Multi-Head Causal Intervention for Hallucination Mitigation in Large Vision-Language Models CVPR 2026 Causal-LLM: Towards Predictive and Interpretable Spatiotemporal Foundation Models AAAI 2026 Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering AAAI 2026 Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs AAAI 2026 CausalMinds at SemEval-2026 Task 12: Simple Fine-Tuning with Option Shuffling Outperforms Complex Pipelines for Abductive Event Reasoning SemEval 2026 Causal Motion Diffusion Models for Autoregressive Motion Generation CVPR 2026 Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem CLeaR 2026 CausalPulse: Agentic Copilot for Root Cause Analysis in Smart Manufacturing AAAI 2026 Causal Reasoning with Bipartite Graphical Causal Models UAI 2026 Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction AAAI 2026 CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos AAAI 2026 Causal, Strategic, and Combined Responsibility Attribution in Situation Calculus Concurrent Game Structures AAAI 2026 Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis AAAI 2026 CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing AAAI 2026 Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation AAAI 2026 CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention CVPR 2026