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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
'5
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'25

Papers (including subtopics)

Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation AAAI 2025 Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing ACL 2025 Scaling Diffusion Language Models via Adaptation from Autoregressive Models ICLR 2025 Scaling Effects on Latent Representation Edits in GPT Models (Student Abstract) AAAI 2025 Scaling Inference-Efficient Language Models ICML 2025 Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension ICCV 2025 Scaling Large Language Model-based Multi-Agent Collaboration ICLR 2025 Scaling Large Motion Models with Million-Level Human Motions ICML 2025 Scaling Laws and Efficient Inference for Ternary Language Models ACL 2025 Scaling Laws for Adversarial Attacks on Language Model Activations and Tokens ICLR 2025 Scaling Laws for Differentially Private Language Models ICML 2025 Scaling Laws for Floating–Point Quantization Training ICML 2025 Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection ICML 2025 Scaling Laws for Native Multimodal Models ICCV 2025 Scaling Laws for Pre-training Agents and World Models ICML 2025 Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream ICML 2025 Scaling Laws for Upcycling Mixture-of-Experts Language Models ICML 2025 Scaling LLMs’ Social Reasoning: Sprinkle Cognitive “Aha Moment” into Fundamental Long-thought Logical Capabilities ACL 2025 Scaling Mesh Generation via Compressive Tokenization CVPR 2025 Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining ICLR 2025 Scaling Omni-modal Pretraining with Multimodal Context: Advancing Universal Representation Learning Across Modalities ICCV 2025 Scaling pseudo-labeling data for end-to-end low-resource speech translation (the case of Kurdish language) Interspeech 2025 Scaling Rich Style-Prompted Text-to-Speech Datasets EMNLP 2025 Scaling Sparse Feature Circuits For Studying In-Context Learning ICML 2025 Scaling Speech-Text Pre-training with Synthetic Interleaved Data ICLR 2025