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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)

Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection ACL 2026 Explainable Clustering of Mixture Models UAI 2026 Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI ACL 2026 Explainable HCC Diagnosis on Dynamic Contrast-Enhanced MRI with a Li-RADS Concept Bottleneck MIDL 2026 Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation AAAI 2026 Explainable Oracle Bone Script Recognition via Multimodal Pictographic Reasoning AAAI 2026 Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing MIDL 2026 Explain-from-Stroke: Capturing Invisible Learning Processes Through Handwriting Dynamics Analysis AAAI 2026 Explaining CLIP Zero-shot Predictions Through Concepts CVPR 2026 Explaining Decentralized Multi-Agent Reinforcement Learning Policies AAAI 2026 Explaining Object Detectors via Collective Contribution of Pixels CVPR 2026 Explaining Sources of Uncertainty in Automated Fact-Checking ACL 2026 Explaining Temporal Graph Neural Network via Quantum-Inspired Evolutionary Algorithm AAAI 2026 Explaining the Unseen: Multimodal Vision-Language Reasoning for Situational Awareness in Underground Mining Disasters WACV 2026 Explaining Tournament Solutions with Minimal Supports AAAI 2026 Explain the Synth: Interpretable Evaluation of LLM Data Synthesis ACL 2026 Explain with Visual Keypoints Like a Real Mentor! A Benchmark for Multimodal Solution Explanation AAAI 2026 Explanations for Sequential Decision-Making – an Overview AAAI 2026 Explicit Modeling of Causal Factors and Confounders for Image Classification AAAI 2026 Explicit Trait Inference for Multi-Agent Coordination ACL 2026 Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking AAAI 2026 Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaptation of Medical Image Segmentation MIDL 2026 Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs AAAI 2026 Explore How to Inject Beneficial Noise in MLLMs AAAI 2026 Explore with Long-term Memory: A Benchmark and Multimodal LLM-based Reinforcement Learning Framework for Embodied Exploration CVPR 2026