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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification AAAI 2026 Federated Combinatorial Causal Bandits with Heterogeneous Causal Influences UAI 2026 Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract) AAAI 2026 Federated Learning Playground AAAI 2026 Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning WACV 2026 Federated Vision-Language-Recommendation with Personalized Fusion AAAI 2026 FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data ACL 2026 FedMPT: Federated Multi-Label Prompt Tuning of Vision-Language Models CVPR 2026 FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion ACL 2026 FedRAC: Rolling Submodel Allocation for Collaborative Fairness in Federated Learning CVPR 2026 FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning CVPR 2026 FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD AAAI 2026 FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models AAAI 2026 FedSST: Rethinking Fair Federated Graph Learning under Structural Shift CVPR 2026 Feeling Right vs. Being Right: How AI Sycophancy Affects Value-Laden Deliberation ACL 2026 Feeling Rules in Language Models: Mapping Norms of Emotional Appropriateness Across Roles, Institutions, and Intensity ACL 2026 FeTS: A Feature-Aware Framework for Time Series Forecasting AAAI 2026 Few-Step Diffusion Sampling Through Instance-Aware Discretizations CVPR 2026 FFE-Hallu: Hallucinations in Fixed Figurative Expressions: A Benchmark of Idioms and Proverbs in the Persian Language EACL 2026 FGD-Align: Pluralistic Alignment for Large Language Models via Fuzzy Group Decision-Making AAAI 2026 FG-TRACER: Tracing Information Flow in Multimodal Large Language Models in Free-Form Generation WACV 2026 Fiction Flows: A Replication and Reinterpretation of Narrative Sequentiality ACL 2026 FIGMA: Towards FIne-Grained Music retrievAl ACL 2026 Figure It Out: Improve the Frontier of Reasoning with Executable Visual States ACL 2026 Filling the Long Tail: Structure-Aware Curriculum-Gap Completion for Medical Education with LLMs ACL 2026