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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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Papers (including subtopics)

GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment ACL 2026 Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning CVPR 2026 Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals CVPR 2026 Goldilocks Test Sets for Face Verification CVPR 2026 Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions ACL 2026 Good Arguments Against the People Pleasers: How Reasoning Mitigates (Yet Masks) LLM Sycophancy ACL 2026 Good Can Sometimes be Bad: A Unified Attack against 3D Point Cloud Classifier by a Flexible Isotropic Resampling CVPR 2026 Good-for-MDP State Reduction for Stochastic LTL Planning AAAI 2026 Good Gradients Poison Your Model: Evading Defenses in Federated Learning via Boundary-adaptive Perturbation AAAI 2026 Gotta Hear Them All: Towards Sound Source Aware Audio Generation AAAI 2026 GovScape: A Public Multimodal Search System for 70 Million Pages of Government PDFs ACL 2026 GPFlow: Gaussian Prototype Probability Flow for Unsupervised Multi-Modal Anomaly Detection CVPR 2026 GQLBench: A Large-Scale Cross-Domain, Cross-Dialect Benchmark for NL2GQL ACL 2026 GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models ACL 2026 GRAD: Generalizing RAG Adaptation with Decoding ACL 2026 Gradient-Guided Multi-Judge Prompt Optimization ACL 2026 Gradient-Guided Reward Optimization for Inference-time Alignment UAI 2026 Gradual Uncertainty Refinement via Noise-Driven Curriculum: A Post-Hoc Meta-Model for Robust Uncertainty Quantification UAI 2026 GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting AAAI 2026 GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs ACL 2026 Grammar as Control: Modular Language Generation for the Long Tail ACL 2026 Grammar Search for Multi-Agent Systems ACL 2026 GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning AAAI 2026 GranAlign: Granularity-Aware Alignment Framework for Zero-shot Video Moment Retrieval AAAI 2026 Granulon: Awakening Pixel-Level Visual Encoders with Adaptive Multi-Granularity Semantics for MLLM CVPR 2026