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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)

Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation ACL 2026 Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models CVPR 2026 Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance AAAI 2026 Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks CVPR 2026 Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood WACV 2026 Towards Robust and Interpretable Event–Frame Fusion for Autonomous Driving AAAI 2026 Towards Robust Evaluation of Visual Activity Recognition: Resolving Verb Ambiguity with Sense Clustering EACL 2026 Towards Robust Human–AI Decision-Making via Learning-to-Defer AAAI 2026 Towards Robust Multimodal Large Language Models Against Jailbreak Attacks CVPR 2026 Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format Reasoning ACL 2026 Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression ACL 2026 Towards Scalable Web Accessibility Audit with MLLMs as Copilots AAAI 2026 Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction EACL 2026 Towards Single Exponential Time for Temporal and Spatial Reasoning: A Study via Redundancy and Dynamic Programming AAAI 2026 Towards Sparse Video Understanding and Reasoning CVPR 2026 Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts ACL 2026 Towards Stealthy and Effective Backdoor Attacks on Lane Detection: A Naturalistic Data Poisoning Approach CVPR 2026 Towards Streaming Referring Video Segmentation via Large Language Model CVPR 2026 Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution AAAI 2026 Towards Training-free Scene Text Editing CVPR 2026 Towards Trustworthy Multimodal AI Systems AAAI 2026 Towards Trustworthy Smart Contract Synthesis: A Multi-Agent Framework with Lean-Based Verification ACL 2026 Towards Ultrasound-based Reliable Disease Diagnosis Using Causal Inference AAAI 2026 Towards Uncertainty-aware Unsupervised Domain Adaptation for Videos and Time-Series with Causal Optimal Transport CVPR 2026 Towards Unconstrained Cross-View Pose Estimation WACV 2026