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
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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'15
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'25
Papers (including subtopics)
On the Emergence and Test-Time Use of Structural Information in Large Language Models
ACL 2026
On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference
UAI 2026
On the Feasibility of Fréchet Radiomic Distance–Constrained Adversarial Examples in Medical Imaging: Methods and Trade-offs
MIDL 2026
On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks
AAAI 2026
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
ACL 2026
On the Granularity of Causal Effect Identifiability
UAI 2026
On the Hidden Objective Biases of Group-based Reinforcement Learning
ACL 2026
On the Impact of Weight Quantization on Deep Neural Network Uncertainty
AAAI 2026
On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference
ACL 2026
On the Misalignment Between Data Learnability and Forgettability in Machine Unlearning
AAAI 2026
On the Rejection Criterion for Proxy-based Test-time Alignment
ACL 2026
On the Role of Temporal Granularity in the Robustness of Spiking Neural Networks
CVPR 2026
On the Stability and Robustness of Vision Transformers for Neurodegenerative Disease Classification
MIDL 2026
On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models
AAAI 2026
On Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language Models
CVPR 2026
On Transportability for Structural Causal Bandits
UAI 2026
On Trustworthy, Explainable, and Verifiable High-Level Autonomy via Hierarchical Planning
AAAI 2026
OpenDance: Multimodal Controllable 3D Dance Generation with Large-scale Internet Data
CVPR 2026
Open-Domain Safety Policy Construction
EACL 2026
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
AAAI 2026
Open-Ended Instruction Realization with LLM-Enabled Multi-Planner Scheduling in Autonomous Vehicles
CVPR 2026
OpenGlass: A Sensing-Computing Split Architecture for Local MLLM-Driven Real-Time Visual Assistance
ACL 2026
OpenLVLM-MIA: A Controlled Benchmark Revealing the Limits of Membership Inference Attacks on Large Vision-Language Models
WACV 2026
OpenMarcie: Dataset for Multimodal Action Recognition in Industrial Environments
CVPR 2026
OpenMMReasoner: Pushing the Frontiers in Multimodal Reasoning with an Open and General Recipe
CVPR 2026