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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
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

UniTabBank: A Large Scale Multi-Lingual, Multi-Layout, Multi-Type, Multi-Format Dataset for Table Detection WACV 2026 UniToolBench: A Benchmark for Tool-Augmented LLMs in Cross-Domain, Universal Task Automation EACL 2026 UniT: Unified Multimodal Chain-of-Thought Test-time Scaling CVPR 2026 UnityVideo: Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation CVPR 2026 UniVBench: Towards Unified Evaluation for Video Foundation Models CVPR 2026 Universal Adversarial Purification with DDIM Metric Loss for Stable Diffusion AAAI 2026 Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent CVPR 2026 Universality of conformal prediction under the assumption of randomness ALT 2026 Universal priors: solving empirical Bayes via Bayesian inference and pretraining COLT 2026 UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities ACL 2026 UniVerse: Empower Unified Generation with Reasoning and Knowledge CVPR 2026 UNIVID: Unified Vision-Language Model for Video Moderation ACL 2026 UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models WACV 2026 Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning ACL 2026 Unlearning without Forgetting: Securely Removing Targeted Concepts from Large-Scale Vision-Language Open-Vocabulary Detectors CVPR 2026 Unleash All Cores: Asymmetry-Aware Scalable DNN Inference on Mobile CPUs OSDI 2026 Unleashing Spatial Reasoning in Multimodal Large Language Models via Textual Representation Guided Reasoning ACL 2026 Unleashing Stealthy Backdoor Pandemic by Infecting a Single Diffusion Model CVPR 2026 Unleashing the Intrinsic Visual Representation Capability of Multimodal Large Language Models CVPR 2026 Unleashing the Potential of Large Language Models for Text-to-Image Generation Through Autoregressive Representation Alignment AAAI 2026 Unleashing the Power of Chain-of-Prediction for Monocular 3D Object Detection CVPR 2026 Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models EACL 2026 Unleashing Vision-Language Semantics for Deepfake Video Detection CVPR 2026 Unleashing VLA Potentials in Autonomous Driving via Explicit Learning from Failures CVPR 2026 Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting AAAI 2026