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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)

Recursive Causal Discovery (Abstract Reprint) AAAI 2026 Recursive numeral systems are highly regular and easy to process EACL 2026 Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts ACL 2026 RedCoder: Automated Multi-Turn Red Teaming for Code LLMs ACL 2026 RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services ACL 2026 Red Teaming Large Reasoning Models ACL 2026 Red-teaming Retrieval-Augmented Diffusion Models via Poisoning Knowledge Bases CVPR 2026 Reducing Goal State Divergence with Environment Design AAAI 2026 Reducing Hallucinations in Language Model-based SPARQL Query Generation Using Post-Generation Memory Retrieval EACL 2026 Reducing the Scope of Language Models AAAI 2026 Reducing Token Redundancy in LVLMs: A Systematic Review of Token Pruning Methods ACL 2026 ReEfBench: Quantifying the Reasoning Efficiency of LLMs ACL 2026 Re-evaluating Continual VQA: Toward Fair and Robust Evaluation for Multimodal Continual Learning CVPR 2026 Reevaluating the Intra-Modal Misalignment Hypothesis in CLIP CVPR 2026 ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL ACL 2026 Ref4D-VideoBench: Four-Dimensional Reference-Based Evaluation of Text-to-Video Generative Models CVPR 2026 ReFAct: Empowering Multimodal Web Agents with Visual and Context Focusing CVPR 2026 RefAV: Towards Planning-Centric Scenario Mining CVPR 2026 Refer-Agent: A Collaborative Multi-Agent System with Reasoning and Reflection for Referring Video Object Segmentation CVPR 2026 Reference Attack: A New Cross-Modal Jailbreaking Attack against Multimodal Large Language Models ACL 2026 Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems AAAI 2026 Referring Change Detection in Remote Sensing Imagery WACV 2026 Refine and Align: Confidence Calibration Through Multi-Agent Interaction in VQA AAAI 2026 ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation AAAI 2026 Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment AAAI 2026