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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
'10
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'20
'25

Papers (including subtopics)

Becoming Experienced Judges: Selective Test-Time Learning for Evaluators EACL 2026 Beetrap-MC: A Minecraft-Based AI Literacy Tool for Teaching Filter Bubbles to Middle School Students AAAI 2026 BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes ACL 2026 Behavior Knowledge Merge in Reinforced Agentic Models ACL 2026 Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning AAAI 2026 Being Kind Isn’t Always Being Safe: Diagnosing Affective Hallucination in LLMs EACL 2026 Being Positive about Negative Queries: Exclusion Aware Multimodal Retrieval using Disentangled Representations WACV 2026 Belief-Driven Value Alignment for Human-Robot Collaboration AAAI 2026 Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations ACL 2026 BenchMarker: An Education-Inspired Toolkit for Highlighting Flaws in Multiple-Choice Benchmarks ACL 2026 Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models AAAI 2026 Benchmarking and Learning Real-World Customer Service Dialogue ACL 2026 Benchmarking and Mitigating the Impact of Noisy User Prompts in Medical VLMs via Cross-Modal Reflection EACL 2026 Benchmarking Deflection and Hallucination in Large Vision-Language Models ACL 2026 Benchmarking Direct Preference Optimization for Medical Large Vision–Language Models EACL 2026 Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models ACL 2026 Benchmarking Fine-Grained Error Detection in Multimodal Reasoning ACL 2026 Benchmarking Large Vision-Language Models on CFMME: A Comprehensive Chinese Financial Multimodal Evaluation Dataset ACL 2026 Benchmarking LLM’s Capability in Reasoning over Conflicting Web References ACL 2026 Benchmarking LLMs for Political Science: A United Nations Perspective AAAI 2026 Benchmarking LLMs’ Mathematical Reasoning with Unseen Random Variables Questions AAAI 2026 Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models AAAI 2026 Benchmarking PhD-Level Coding in 3D Geometric Computer Vision CVPR 2026 Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats ACL 2026 Benchmarking Reinforcement Learning Algorithms for ICU Ventilator Settings: An Interpretable and Probabilistic Patient Environment for Doctor Agents AAAI 2026