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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'10
'15
'20
'25
Papers (including subtopics)
What NLP Gets Wrong About Contact: Implications for Field Linguistic Evidence
EACL 2026
What Question Did You Answer? Refining Contact Center Evaluation Plans via Backward Questions
ACL 2026
What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects
EACL 2026
What’s Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews
ACL 2026
What’s Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning
EACL 2026
What the Router Sees Matters: Funnel Pooling for Fast, Content Driven Expert Routing
EACL 2026
What to Ask Next? Probing the Imaginative Reasoning of LLMs with TurtleSoup Puzzles
AAAI 2026
What to Trust? A Trust-aware Knowledge-guided Method for Zero-shot Object State Understanding in Videos
AAAI 2026
What Type of Inference is Active Inference?
UAI 2026
What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting
AAAI 2026
What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning
AAAI 2026
What Your Features Reveal: Data-Efficient Black-Box Feature Inversion Attack for Split DNNs
CVPR 2026
What You See Is What You Reach: Towards Spatial Navigation with High-Level Human Instructions
AAAI 2026
When Agents Look the Same: Quantifying Distillation-Induced Similarity in Tool-Use Behaviors
ACL 2026
When AI Meets AI: A Game-Theoretic Defense Framework Against AI Empowered Cyber Threats
AAAI 2026
When Anonymity Breaks: Identifying Models Behind Text-to-Image Leaderboards
CVPR 2026
When AVSR Meets Video Conferencing: Dataset, Degradation, and the Hidden Mechanism Behind Performance Collapse
CVPR 2026
When Background Matters: Breaking Medical Vision Language Models by Transferable Attack
ACL 2026
When Benchmarks Leak: Inference-Time Decontamination for LLMs
ACL 2026
When Bigger Isn’t Better: A Comprehensive Fairness Evaluation of Political Bias in Multi-News Summarisation
ACL 2026
When Can Transformers Count to n?
UAI 2026
When Can We Learn from Noisy Logical Data? Parameterized Complexity of Approximate Concept Fitting in Description Logics
UAI 2026
When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
EACL 2026
When CLIP Sees More, It Fights Back Harder: Multi-View Guided Adaptive Counterattacks for Test-Time Adversarial Robustness
CVPR 2026
When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure
ACL 2026