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
'5
'10
'15
'20
'25
Papers (including subtopics)
MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization
ACL 2026
MAFA: A Multi-Agent Framework for Enterprise-Scale Annotation with Configurable Task Adaptation
AAAI 2026
MAFM3: Modular Adaptation of Foundation Models for Multi-Modal Medical AI
WACV 2026
MageBench: Bridging Large Multimodal Models to Agents
WACV 2026
MagicBench: Diagnosing Visual Agency Loss and Semantic Dependency in Multimodal LLMs
ACL 2026
MAGIC: Deep Geometric Evolution with Structural Consensus for Temporal Knowledge Graph Reasoning
ACL 2026
MAGICIAN: Efficient Long-Term Planning with Imagined Gaussians for Active Mapping
CVPR 2026
MAGIC: Multi-Agent Argumentation and Grammar Integrated Critiquer
AAAI 2026
MagicQuill V2: Precise and Interactive Image Editing with Layered Visual Cues
CVPR 2026
MAGIC VFM-Meta-Learning Adaptation for Ground Interaction Control with Visual Foundation Models (Abstract Reprint)
AAAI 2026
MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents
ACL 2026
MAGNET: Towards Adaptive GUI Agents with Memory-Driven Knowledge Evolution
ACL 2026
Magnol.AI Copilot: Multimodal LLMs for Conversational Insight Generation
AAAI 2026
MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies
AAAI 2026
MajutsuCity: Language-driven Aesthetic-adaptive City Generation with Controllable 3D Assets and Layouts
CVPR 2026
MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation
CVPR 2026
Make it SING: Analyzing Semantic Invariants in Classifiers
CVPR 2026
Make LLMs See Like Investigators, Not Just Think More: The Role of Structured Analysis in Investigative Reasoning
ACL 2026
Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning
AAAI 2026
Make Mechanistic Interpretability Auditable: A Call to Develop Guidelines via Continuous Collaborative Reviewing
ACL 2026
Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning
AAAI 2026
Makespan Investigations of Sequential, Parallel, PO, and POCL Plans
AAAI 2026
Making Every Head Count: Sparse Attention Without the Speed-Performance Trade-off
AAAI 2026
Making Logic a First-Class Citizen in Generative ML for Networking
NSDI 2026
Making Sense of LLM Decisions: A Prototype-based Framework for Explainable Classification
AAAI 2026