Artificial Intelligence
83,018 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
2
10
16
4
22
142
170
186
174
228
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299
478
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470
688
1,389
2,431
4,106
5,263
6,557
7,659
9,959
14,521
18,823
8,763
2000
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Papers (including subtopics)
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
On the Emergence and Test-Time Use of Structural Information in Large Language Models
ACL 2026
On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference
UAI 2026
On the Feasibility of Fréchet Radiomic Distance–Constrained Adversarial Examples in Medical Imaging: Methods and Trade-offs
MIDL 2026
On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks
AAAI 2026
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
ACL 2026
On the Granularity of Causal Effect Identifiability
UAI 2026