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)
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems
AAAI 2026
ResNet-GA: Evolutionary Deep Learning Models for Adversarial Defense (Student Abstract)
AAAI 2026
Resolving Evidence Sparsity: Agentic Context Engineering for Long-Document Understanding
CVPR 2026
Resolving the Identity Crisis in Text-to-Image Generation
CVPR 2026
Resolving the Security-Auditability Dilemma with Auditable Latent Chain-of-Thought Alignment
ACL 2026
Resolving the Stability-Plasticity Dilemma in Reinforcement Learning via Complementary Continual Critics
CVPR 2026
Resonating with RoPE: Spectral Quantization for High-Fidelity Key Cache Compression
ACL 2026
Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation
EACL 2026
RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification
ACL 2026
RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents
AAAI 2026
RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents (Student Abstract)
AAAI 2026
Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models
AAAI 2026
Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding
ACL 2026
Responsible Evaluation of AI for Mental Health
ACL 2026
Responsible Mechanism Design
AAAI 2026
Re-SpS: A Reinforcement Learning Approach to Speculative Sampling
AAAI 2026
RESTL: Reinforcement Learning Guided by Multi-Aspect Rewards for Signal Temporal Logic Transformation
AAAI 2026
REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once
ACL 2026
RetFormer: Multimodal Retrieval for Enhancing Image Recognition
CVPR 2026
Rethinking BCE Loss for Multi-Label Image Recognition with Fine-Tuning
CVPR 2026
Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing
ACL 2026
Rethinking Concept Bottleneck Models: From Pitfalls to Solutions
CVPR 2026
Rethinking Cross-Modal Anchor Alignment for Mitigating Error Accumulation
CVPR 2026
Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning
AAAI 2026
Rethinking Direct Preference Optimization in Diffusion Models
AAAI 2026