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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)

Revealing the Seen, Imagining the Beyond: A Survey of Image-Grounded Chain-of-Thought Reasoning in Multimodal LLMs ACL 2026 Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes EACL 2026 REVEAL: Multimodal Vision–Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction MIDL 2026 REVEAL: Retrieval-Enhanced Verification for Multimodal Fact-Checking EACL 2026 ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents ACL 2026 RevINN: An End-to-End Invertible Neural Network for Reversible Adversarial Examples Generation CVPR 2026 Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language Models ACL 2026 Revisiting Audio-language Pretraining for Learning General-purpose Audio Representation ACL 2026 Revisiting Conjunctive Query Entailment for S AAAI 2026 Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond AAAI 2026 Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob AAAI 2026 Revisiting Geometric Obfuscation with Dual Convergent Lines for Privacy-Preserving Image Queries in Visual Localization CVPR 2026 Revisiting MLLM Based Image Quality Assessment: Errors and Remedy AAAI 2026 Revisiting Model Interpolation for Efficient Reasoning ACL 2026 Revisiting Model Stitching In the Foundation Model Era CVPR 2026 Revisiting Multimodal KV Cache Compression: A Frequency-Domain-Guided Outlier-KV-Aware Approach CVPR 2026 Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface Forms ACL 2026 Revisiting Pipeline Parallelism for LLM Serving OSDI 2026 Revisiting TD Target Aggregation under Uncertainty in Q-Learning UAI 2026 Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View AAAI 2026 Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization CVPR 2026 Revisiting the Reliability of Language Models in Instruction-Following ACL 2026 Revisiting the (Sub)Optimality of Best-of-N for Inference-Time Alignment COLT 2026 Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning CVPR 2026 Revisiting Visual Corruptions in LVLMs: A Shape-Texture Perspective on Model Failures CVPR 2026