Artificial Intelligence
83,018 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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16
4
22
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478
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688
1,389
2,431
4,106
5,263
6,557
7,659
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14,521
18,823
8,763
2000
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Papers (including subtopics)
OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning
ICLR 2025
OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration
EMNLP 2025
OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing Agents
ICLR 2025
OseiBrefo-Liang at SemEval-2025 Task 8 : A Multi-Agent LLM code generation approach for answering Tabular Questions
SemEval 2025
OS-GCL: A One-Shot Learner in Graph Contrastive Learning
IJCAI 2025
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis
ACL 2025
OS-Kairos: Adaptive Interaction for MLLM-Powered GUI Agents
ACL 2025
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
CVPR 2025
OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
ICLR 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection
IJCAI 2025
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models
CVPR 2025
OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction
ICML 2025
Otter: Generating Tests from Issues to Validate SWE Patches
ICML 2025
OT-VP: Optimal Transport-Guided Visual Prompting for Test-Time Adaptation
WACV 2025
OURO: A Self-Bootstrapped Framework for Enhancing Multimodal Scene Understanding
ICCV 2025
Outcome-Based Semifactuals for Reinforcement Learning
ACML 2025
Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models
ICML 2025
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
ICML 2025
Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models
ACL 2025
Out-of-Context Reasoning in Large Language Models
EMNLP 2025
Out-of-Distribution Generalization on Graphs via Progressive Inference
AAAI 2025
Out-of-distribution robustness for multivariate analysis via causal regularisation
AISTATS 2025
Out-of-distribution Robust Optimization
UAI 2025
Out of Length Text Recognition with Sub-String Matching
AAAI 2025
Out of Sight, Not Out of Context? Egocentric Spatial Reasoning in VLMs Across Disjoint Frames
EMNLP 2025