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)
Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework
EACL 2026
Say More with Less: Variable-Frame-Rate Speech Tokenization via Adaptive Clustering and Implicit Duration Coding
AAAI 2026
SCAIR: Schema-Conditioned Agentic Iterative Reasoning for Enterprise Knowledge Graphs
ACL 2026
Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
L4DC 2026
Scalable Feature Matching via State Space Modeling and Sparse Correlation
CVPR 2026
Scalable Infinitesimal Generator–Based Koopman Learning for Long-Horizon Prediction
L4DC 2026
Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
AAAI 2026
Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models
CVPR 2026
Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics
AAAI 2026
Scalable Solutions to Zero-Sum Partially Observable Stochastic Games Through Belief Aggregation with Approximation Guarantees
AAAI 2026
Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis (Abstract Reprint)
AAAI 2026
Scalable Trajectory Generation for Whole-Body Mobile Manipulation
CVPR 2026
Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation
L4DC 2026
Scalable Video Action Anticipation with Cross Linear Attentive Memory
WACV 2026
Scalable Vision-Guided Crop Yield Estimation
AAAI 2026
SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning
EACL 2026
ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language Models
ACL 2026
Scale Is All You Need: Analyzing Modality Interaction and Speaker Intent Without Fine-Tuning
EACL 2026
Scale Regularization for Stable Low-Rank Adaptation
AAAI 2026
SCALE: Selective Resource Allocation for Overcoming Performance Bottlenecks in Mathematical Test-time Scaling
AAAI 2026
SCALEX: Scalable Concept and Latent Exploration for Diffusion Models
WACV 2026
Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs
CVPR 2026
Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems
CVPR 2026
Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning
ACL 2026
Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding
ACL 2026