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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)

Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models ACL 2026 Decidable Multi-agent Epistemic Planning: A Situation Calculus Approach AAAI 2026 DecIF: Improving Instruction-Following through Decomposition ACL 2026 Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents ACL 2026 DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing ACL 2026 DecoCal: Decoding with Calibration in Diffusion Large Language Models ACL 2026 Decoding 3D Perception via BrainSSD: Synergistic Fusion of EEG Representations from Static and Dynamic Visual Streams CVPR 2026 Decoding Scientific Experimental Images: The SPUR Benchmark for Perception, Understanding, and Reasoning ACL 2026 Decoding the Market’s Pulse: Context-Enriched Agentic Retrieval Augmented Generation for Predicting Post-Earnings Price Shocks EACL 2026 Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation EACL 2026 Decoding-Unlearning: Fact Forgetting via Entropy-Guided Inference ACL 2026 Decompose and Conquer: Compositional Reasoning for Zero-Shot Temporal Action Localization AAAI 2026 Decompose and Transfer: CoT-Prompting Enhanced Alignment for Open-Vocabulary Temporal Action Detection CVPR 2026 Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA AAAI 2026 Decomposing Ensemble Spread in Lorenz ’96 with Learned Stochastic Parameterizations UAI 2026 Deconstructing Instruction-Following: A New Benchmark for Granular Evaluation of Large Language Model Instruction Compliance Abilities EACL 2026 DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHF AAAI 2026 Decoupled Generative Modeling for Human-Object Interaction Synthesis CVPR 2026 Decouple to Generalize: Context-First Self-Evolving Learning for Data-Scarce Vision-Language Reasoning CVPR 2026 Decoupling Bias, Aligning Distributions: Synergistic Fairness Optimization for Deepfake Detection CVPR 2026 Decoupling Defense Strategies for Robust Image Watermarking CVPR 2026 Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models ACL 2026 Decoupling Knowledge and Reasoning in LLMs: An Exploration Using Cognitive Dual-System Theory AAAI 2026 Decoupling Scene Perception and Ego Status: A Multi-Context Fusion Approach for Enhanced Generalization in End-to-End Autonomous Driving AAAI 2026 Decoupling Task-Solving and Output Formatting in LLM Generation ACL 2026