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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Papers (including subtopics)
Cards Against Contamination: TCG-Bench for Difficulty-Scalable Multilingual LLM Reasoning
EACL 2026
CARE: A Molecular-Guided Foundation Model with Adaptive Region Modeling for Whole Slide Image Analysis
CVPR 2026
CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling
AAAI 2026
CARE: Confidence-aware Ratio Estimation for Medical Biomarkers
MIDL 2026
CareerPathKG: Knowledge Graph Integrated Framework for Career Intelligence
EACL 2026
CaReFlow: Cyclic Adaptive Rectified Flow for Multimodal Fusion
CVPR 2026
CARES: Context-Aware Resolution Selector for VLMs
ACL 2026
CARE What Fails: Contrastive Anchored-REflection for Verifiable Multimodal Reasoning
CVPR 2026
CaricHarmony: Contrastive Diffusion Paths for Identity-Preserving Caricature Synthesis
CVPR 2026
CaRL-EM: Cost-Aware Reinforcement Learning for Entity Matching with LLMs
ACL 2026
CARLoS: Retrieval via Concise Assessment Representation of LoRAs at Scale
CVPR 2026
CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model
CVPR 2026
CascadeDebate: Multi-Agent Deliberation for Cost-Aware LLM Cascades
ACL 2026
CascadeMind at SemEval-2026 Task 4: A Hybrid Neuro-Symbolic Cascade for Narrative Similarity
SemEval 2026
CaseFacts: A Benchmark for Legal Fact-Checking and Precedent Retrieval
ACL 2026
CASPA: Graph-Structured Concept Anchors for Modality-Agnostic Adaptation in Vision-Language Models
CVPR 2026
CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories
ACL 2026
CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness
CVPR 2026
CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark
ACL 2026
CaST-Bench: Benchmarking Causal Chain-Grounded Spatio-Temporal Reasoning for Video Question Answering
CVPR 2026
CAST: Context-Aware Dynamic Latent Space Transformation for Interactive Text-to-Image Retrieval
CVPR 2026
CAST: Evaluating Multi-Object Trackers with Context-Aware Switch and Transfer Scores
WACV 2026
CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations
AAAI 2026
CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning
AAAI 2026
Catching the First Light of Tomorrow: A Hackathon-Based Framework for Introducing High School Students to AI Agents
AAAI 2026