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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)

Frequency-Aware Flow Matching for High-Quality Image Generation CVPR 2026 Frequency-Aware Vision-Language Multimodality Generalization Network for Remote Sensing Image Classification AAAI 2026 Frequency-domain Manipulation for Face Obfuscation CVPR 2026 FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence AAAI 2026 From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment ACL 2026 From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction ACL 2026 From 3D Pose to Prose: Biomechanics-Grounded Vision-Language Coaching CVPR 2026 From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in LRMs via Decoupled Reasoning and Control ACL 2026 From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning ACL 2026 From Attraction to Equilibrium: Physics-Inspired Semantic Gravitons for Zero-Shot Anomaly Detection CVPR 2026 From Attribution to Action: Jointly ALIGNing Predictions and Explanations AAAI 2026 From Bits to Tokens: Knowledge-Driven Generative Communication of Multimodal Data NSDI 2026 From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning AAAI 2026 From Chaos to Cure: A Prefix Heuristics Guided Model-Agnostic Adaptive Detoxification Framework AAAI 2026 From Charts to Code: A Hierarchical Benchmark for Multimodal Models ACL 2026 From Cognitive Priors to Instance Semantics: A Unified Framework for Multi-task Affective Computing WACV 2026 From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning ACL 2026 From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation CVPR 2026 From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan ACL 2026 From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization ACL 2026 From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning AAAI 2026 From Decisions to Multiplicity: Frameworks, Theories, and Applications AAAI 2026 From Decision Trees to Boolean Logic: A Fast and Unified SHAP Algorithm AAAI 2026 From Delegates to Trustees: How Optimizing for Long-Term Interests Shapes Bias and Alignment in LLMs EACL 2026 From Detection to Diagnosis: Advancing Hallucination Analysis with Automated Data Synthesis AAAI 2026