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)
On the Mutual Influence of Gender and Occupation in LLM Representations
ACL 2025
On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models
ICLR 2025
On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena
NAACL 2025
On the Out-Of-Distribution Generalization of Large Multimodal Models
CVPR 2025
On the Perception Bottleneck of VLMs for Chart Understanding
EMNLP 2025
On the Power of Context-Enhanced Learning in LLMs
ICML 2025
On the Power of Randomization for Obviously Strategy-Proof Mechanisms
AAAI 2025
On the Power of Strategic Corpus Enrichment in Content Creation Games
AAAI 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
UAI 2025
On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering
ICCV 2025
On the Query Complexity of Verifier-Assisted Language Generation
ICML 2025
On the Relation Between Fine-Tuning, Topological Properties, and Task Performance in Sense-Enhanced Embeddings
ACL 2025
On the Relation between Trainability and Dequantization of Variational Quantum Learning Models
ICLR 2025
On the Relationship Between Robustness and Expressivity of Graph Neural Networks
AISTATS 2025
On the reliability of feature attribution methods for speech classification
Interspeech 2025
On the Reliability of Large Language Models for Causal Discovery
ACL 2025
On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference
JMLR 2025
On the Representations of Entities in Auto-regressive Large Language Models
EMNLP 2025
On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents
ICML 2025
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
ACL 2025
On the Robustness of Agentic Function Calling
NAACL 2025
On the Robustness of Distributed Machine Learning Against Transfer Attacks
AAAI 2025
On the Robustness of Reward Models for Language Model Alignment
ICML 2025
On the Robustness Tradeoff in Fine-Tuning
ICCV 2025
On the Role of Attention Heads in Large Language Model Safety
ICLR 2025