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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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'25

Papers (including subtopics)

Self-Boosting Large Language Models with Synthetic Preference Data ICLR 2025 Self-Bootstrapping for Versatile Test-Time Adaptation ICML 2025 Self-calibration Enhanced Whole Slide Pathology Image Analysis IJCAI 2025 Self-calibration for Language Model Quantization and Pruning NAACL 2025 SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models ICML 2025 Self-Consistency Preference Optimization ICML 2025 Self-Consistent Model-based Adaptation for Visual Reinforcement Learning IJCAI 2025 Self-Consuming Generative Models with Adversarially Curated Data ICML 2025 Self-Contrastive Loop of Thought Method for Text-to-SQL Based on Large Language Model ACL 2025 Self-Correcting Code Generation Using Small Language Models EMNLP 2025 Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models ICLR 2025 Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight AAAI 2025 Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks ACL 2025 Self-Critique and Refinement for Faithful Natural Language Explanations EMNLP 2025 Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering ACL 2025 Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions NAACL 2025 Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes NAACL 2025 SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence ACL 2025 Self-Ensemble: Mitigating Confidence Distortion for Large Language Models EMNLP 2025 Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning ACL 2025 Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization AAAI 2025 SELF-EVOLVED REWARD LEARNING FOR LLMS ICLR 2025 Self-Evolving Multi-Agent Collaboration Networks for Software Development ICLR 2025 Self-Evolving Visual Concept Library using Vision-Language Critics CVPR 2025 Self-Explainable Graph Transformer for Link Sign Prediction AAAI 2025