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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)

Open-World Multimodal Understanding and Generation with Efficiently Finetuned Foundation Models AAAI 2025 Open-World Planning via Lifted Regression with LLM-Inferred Affordances for Embodied Agents ACL 2025 Open-World Skill Discovery from Unsegmented Demonstration Videos ICCV 2025 Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction ICML 2025 Operational Advice for Dense and Sparse Retrievers: HNSW, Flat, or Inverted Indexes? ACL 2025 Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents AAAI 2025 Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work ACL 2025 OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining ICCV 2025 OPTAGENT: Optimizing Multi-Agent LLM Interactions Through Verbal Reinforcement Learning for Enhanced Reasoning IJCNLP 2025 Optical-Flow Guided Prompt Optimization for Coherent Video Generation CVPR 2025 Optimal Algorithm for Max-Min Fair Bandit ICML 2025 Optimal Auction Design for Mixed Bidders AAAI 2025 Optimal Control Operator Perspective and a Neural Adaptive Spectral Method AAAI 2025 Optimal Decision Tree Pruning Revisited: Algorithms and Complexity ICML 2025 Optimal Experiment Design for Causal Effect Identification JMLR 2025 Optimal Information Retention for Time-Series Explanations ICML 2025 Optimal Interactive Learning on the Job via Facility Location Planning RSS 2025 Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression ICLR 2025 Optimality of Matrix Mechanism on ℓ_p^p-metric ICLR 2025 Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach AAAI 2025 Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes ICLR 2025 Optimal Planning to Coordinate Science Data Collection and Downlink for a Constellation of Agile Satellites with Limited Storage IJCAI 2025 Optimal Policy Adaptation Under Covariate Shift IJCAI 2025 Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization ACL 2025 Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing ICCV 2025