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)
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
ICLR 2025
Interpreting CLIP with Hierarchical Sparse Autoencoders
ICML 2025
Interpreting Emergent Planning in Model-Free Reinforcement Learning
ICLR 2025
Interpreting Language Models Through Concept Descriptions: A Survey
EMNLP 2025
Interpreting Language Reward Models via Contrastive Explanations
ICLR 2025
Interpreting Multi-Attribute Confounding through Numerical Attributes in Large Language Models
IJCNLP 2025
Interpreting Object-level Foundation Models via Visual Precision Search
CVPR 2025
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract)
IJCAI 2025
Interpreting the Effects of Quantization on LLMs
IJCNLP 2025
Interpreting the Repeated Token Phenomenon in Large Language Models
ICML 2025
Interpreting the Second-Order Effects of Neurons in CLIP
ICLR 2025
Intersectional Bias in Japanese Large Language Models from a Contextualized Perspective
ACL 2025
Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces
ICML 2025
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
ICLR 2025
Inter-sentence Context Modeling and Structure-aware Representation Enhancement for Conversational Sentiment Quadruple Extraction
EMNLP 2025
Inter-Speaker Relative Cues for Text-Guided Target Speech Extraction
Interspeech 2025
InterSyn: Interleaved Learning for Dynamic Motion Synthesis in the Wild
ICCV 2025
Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs
ICLR 2025
Intervening in Black Box: Concept Bottleneck Model for Enhancing Human Neural Network Mutual Understanding
ICCV 2025
Interweaving Memories of a Siamese Large Language Model
AAAI 2025
In-the-wild Audio Spatialization with Flexible Text-guided Localization
ACL 2025
Into The Limits of Logic: Alignment Methods for Formal Logical Reasoning
EMNLP 2025
Intra and Inter Parser-Prompted Transformers for Effective Image Restoration
AAAI 2025
Intra-modal and Cross-modal Synchronization for Audio-visual Deepfake Detection and Temporal Localization
ICCV 2025
Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders
NAACL 2025