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
'20
'25
Papers (including subtopics)
Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge
ICML 2025
Position: Explainable AI Cannot Advance Without Better User Studies
ICML 2025
Position: Formal Mathematical Reasoning—A New Frontier in AI
ICML 2025
Position: Future Research and Challenges Remain Towards AI for Software Engineering
ICML 2025
Position: General Intelligence Requires Reward-based Pretraining
ICML 2025
Position: Generative AI Regulation Can Learn from Social Media Regulation
ICML 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
ICML 2025
Position: Human Baselines in Model Evaluations Need Rigor and Transparency (With Recommendations & Reporting Checklist)
ICML 2025
Position: Humanity Faces Existential Risk from Gradual Disempowerment
ICML 2025
Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models
EMNLP 2025
Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI
ICML 2025
Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks
ICML 2025
Position: Language model developers should report train-test overlap
ICML 2025
Position: LLMs Can be Good Tutors in English Education
EMNLP 2025
Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning
ICML 2025
Position: LLM Social Simulations Are a Promising Research Method
ICML 2025
Position: Machine Learning Models Have a Supply Chain Problem
ICML 2025
Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity
ICML 2025
Position Paper: MeMo: Towards Language Models with Associative Memory Mechanisms
ACL 2025
Position: Political Neutrality in AI Is Impossible — But Here Is How to Approximate It
ICML 2025
Position: Principles of Animal Cognition to Improve LLM Evaluations
ICML 2025
Position Really Matters: Towards a Holistic Approach for Prompt Tuning
NAACL 2025
Position: Rethinking Explainable Machine Learning as Applied Statistics
ICML 2025
Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences
ICML 2025
Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives
ICML 2025