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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)

ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization NeurIPS 2024 Concept-Guided Prompt Learning for Generalization in Vision-Language Models AAAI 2024 ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models ACL 2024 Concept-skill Transferability-based Data Selection for Large Vision-Language Models EMNLP 2024 Concept Space Alignment in Multilingual LLMs EMNLP 2024 Conceptual Pacts for Reference Resolution Using Small, Dynamically Constructed Language Models: A Study in Puzzle Building Dialogues COLING 2024 ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks CVPR 2024 Concurrent Band Selection and Traversability Estimation From Long-Wave Hyperspectral Imagery in Off-Road Settings WACV 2024 Conditional and Modal Reasoning in Large Language Models EMNLP 2024 Conditional Backdoor Attack via JPEG Compression AAAI 2024 Conditional Common Entropy for Instrumental Variable Testing and Partial Identification ICML 2024 Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand NeurIPS 2024 Conditional Instrumental Variable Regression with Representation Learning for Causal Inference ICLR 2024 Conditional Language Learning with Context ICML 2024 Conditional Outcome Equivalence: A Quantile Alternative to CATE NeurIPS 2024 Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment AAAI 2024 Conditions for parameter unidentifiability of linear ARX systems for enhancing security L4DC 2024 Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024 Confabulation: The Surprising Value of Large Language Model Hallucinations ACL 2024 Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models ICLR 2024 Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting ACL 2024 Confidence Regulation Neurons in Language Models NeurIPS 2024 Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models ACL 2024 Confident Natural Policy Gradient for Local Planning in q_π-realizable Constrained MDPs NeurIPS 2024 Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees NeurIPS 2024