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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

Online Covering with Multiple Experts ALT 2026 Online Data Curation for Object Detection via Marginal Contributions to Dataset-level Average Precision CVPR 2026 Online Detection of Changes in Moment--Based Projections: When to Retrain Deep Learners or Update Portfolios? JMLR 2026 Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning EACL 2026 Online Episodic Memory Visual Query Localization with Egocentric Streaming Object Memory WACV 2026 Online Fair Allocation with Demand-Side Time-Dependent Weight UAI 2026 Online Learning and Coverage of Unknown Fields Using Random-Feature Gaussian Processes L4DC 2026 Online Learning for Project Selection in Hedonic Project Games UAI 2026 Online Markov Decision Processes with Terminal Law Constraints ALT 2026 Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution AAAI 2026 Online Robust Planning Under Model Uncertainty: A Sample-Based Approach AAAI 2026 On Logical Extrapolation for Mazes with Recurrent and Implicit Networks AAAI 2026 On Modality Weighting and Specificity for Multi-Modal Entity Alignment AAAI 2026 Onomasiological Sense Alignment Across Dialect Dictionaries. A Taxonomy-Constrained LLM Classification EACL 2026 On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied Planning ACL 2026 On Robustness of Linear Classifiers to Targeted Data Poisoning AAAI 2026 On Stealing Graph Neural Network Models AAAI 2026 On the Additive Compositionality of Task Vectors in Vision–Language Models EACL 2026 On the Alignment of Large Language Models with Global Human Opinion AAAI 2026 On the Approximation Ratio of Optimal Fixed-Price Mechanisms for Single and Multi-Unit Bilateral Trade AAAI 2026 On the Asymptotics of Self-Supervised Pre-training: Two-Stage M-Estimation and Representation Symmetry COLT 2026 On the Computational Tractability of Probabilistic Global and Local Sufficient Explanation AAAI 2026 On the Convergence of Self-Improving Online LLM Alignment UAI 2026 On the Edge of Core (Non-)Emptiness: An Automated Reasoning Approach to Approval-Based Multi-Winner Voting AAAI 2026 On the Effect of Sampling Diversity in Scaling LLM Inference UAI 2026