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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'25
Papers (including subtopics)
NeuroLangSeg: Language-Guided Subcortical Segmentation with Pseudo-Supervision and Anatomical–Linguistic Validation
MIDL 2026
Neuro-Symbolic Agentic Reinforcement Learning for Long-Term Original Character Companionship and Interaction
ACL 2026
Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling
AAAI 2026
Neuro-Symbolic Proof Generation for Scaling Systems Software Verification
OSDI 2026
NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
AAAI 2026
NeuS-QA: Grounding Long-Form Video Understanding in Temporal Logic and Neuro-Symbolic Reasoning
AAAI 2026
News Credibility Assessment by LLMs and Humans: Implications for Political Bias
EACL 2026
Next Generation Active Learning: Mixture of LLMs in the Loop
AAAI 2026
N-GLARE: An Non-Generative Latent Representation-Efficient LLM Safety Evaluator
ACL 2026
NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering
EACL 2026
NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation
AAAI 2026
Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism
ACL 2026
NitroGen: An Open Foundation Model for Generalist Gaming Agents
CVPR 2026
NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs
ACL 2026
Nixie: Efficient, Transparent Temporal Multiplexing for Consumer GPUs
OSDI 2026
NJUSTKMG at SemEval 2026 Task 10 PsyCoMark—Subtask 2:Conspiracy Detection
SemEval 2026
NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework
AAAI 2026
NLP-CEIA-UFG at SemEval-2026 Task 8: Iterative Retrieval with Notes-Guided Query Refinement for Multi-Turn RAG
SemEval 2026
NLP-CIMAT at SemEval-2026 Task 9: LLM-Based One-Shot and Cross-Lingual Data Augmentation for Polarization Detection
SemEval 2026
NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment
EACL 2026
NLP Privacy Risk Identification in Social Media (NLP-PRISM): A Survey
EACL 2026
NL ⇒ Schedule: Evaluate Multitask Scheduling Capability of Large Language Models
ACL 2026
No Buffer, No Bottleneck: Efficient Zero-Copy KV Cache Offloading for Long-Context LLMs
OSDI 2026
No Evidence of Disease: Clinically-Risky Adversarial Chest CT Report Generation
MIDL 2026
No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models
CVPR 2026