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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Papers (including subtopics)
Discovering Decoupled Functional Modules in Large Language Models
AAAI 2026
Discovering Hybrid World Representations with Co-Evolving Foundation Models
AAAI 2026
Discovering Lexical Gaps Using Embeddings from Multilingual LLMs
CoNLL 2026
Discovering Linear Non-Gaussian Models for All Categories of Missing Data (Student Abstract)
AAAI 2026
Discovering Properties of Inflectional Morphology in Neural Emergent Communication
ACL 2026
Discover, Segment, and Select: A Progressive Mechanism for Zero-shot Camouflaged Object Segmentation
CVPR 2026
Discovery and Reinforcement of Tool-Integrated Reasoning Chains via Rollout Trees
ACL 2026
Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design
AAAI 2026
Discretization Is Not Always Better: Rethinking Deep Quantization for Asymmetric Image Retrieval
AAAI 2026
Discriminative Perception via Anchored Description for Reasoning Segmentation
CVPR 2026
Disentangled Hypergraph-Guided Mamba Scanning for Fine-Grained Visual Recognition
AAAI 2026
Disentangled Textual Priors for Diffusion-based Image Super-Resolution
CVPR 2026
Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security
AAAI 2026
Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention
CLeaR 2026
Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts
ACL 2026
Disentangling to Re-couple: Resolving the Similarity-Controllability Paradox in Subject-Driven Text-to-Image Generation
CVPR 2026
Dissecting Failure Dynamics in Large Language Model Reasoning
ACL 2026
Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory
AAAI 2026
Distillation Traps and Guards: A Calibration Knob for LLM Distillability
ACL 2026
Distilling Balanced Knowledge from a Biased Teacher
CVPR 2026
Distilling Cross-Modal Knowledge via Feature Disentanglement
AAAI 2026
Distilling Quasi-Conformal Mapping: A Generalizable and Efficient Solution for Wide-Angle Correction
CVPR 2026
Distilling Safe LLM Systems via Soft Prompts for On Device Settings
UAI 2026
Distilling Unsigned Distance Function for Surface Reconstruction from 3D Gaussian Splatting
CVPR 2026
Distilling What and Why: Enhancing Driver Intention Prediction with MLLMs
WACV 2026