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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)

FAST: Efficient Action Tokenization for Vision-Language-Action Models RSS 2025 FASTER: A Font-Agnostic Scene Text Editing and Rendering Framework WACV 2025 Faster and Better LLMs via Latency-Aware Test-Time Scaling EMNLP 2025 Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning IJCAI 2025 Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding EMNLP 2025 Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction NAACL 2025 Faster Parameter-Efficient Tuning with Token Redundancy Reduction CVPR 2025 Fast Exact Unlearning for In-Context Learning Data for LLMs ICML 2025 Fast Explanations via Policy Gradient-Optimized Explainer IJCAI 2025 FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data EMNLP 2025 FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling ICCV 2025 Fast Large Language Model Collaborative Decoding via Speculation ICML 2025 FastLGS: Speeding Up Language Embedded Gaussians with Feature Grid Mapping AAAI 2025 FastMCTS: A Simple Sampling Strategy for Data Synthesis ACL 2025 Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering ACL 2025 FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks AAAI 2025 FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction ICCV 2025 Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph AAAI 2025 Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks AAAI 2025 FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning ICCV 2025 FastVLM: Efficient Vision Encoding for Vision Language Models CVPR 2025 FastVLM: Self-Speculative Decoding for Fast Vision-Language Model Inference IJCNLP 2025 FATE: Feature-Adapted Parameter Tuning for Vision-Language Models AAAI 2025 Fathom: A Fast and Modular RAG Pipeline for Fact-Checking ACL 2025 Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies ICLR 2025