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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Probing Power by Prompting: Harnessing Pre-trained Language Models for Power Connotation Framing EACL 2023 Probing Pre-Trained Language Models for Cross-Cultural Differences in Values EACL 2023 Probing Quantifier Comprehension in Large Language Models: Another Example of Inverse Scaling EMNLP 2023 Probing Representations for Document-level Event Extraction EMNLP 2023 Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism CVPR 2023 Probing the “Creativity” of Large Language Models: Can models produce divergent semantic association? EMNLP 2023 Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention ACML 2023 ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab NeurIPS 2023 ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models ICCV 2023 Procedure-Aware Pretraining for Instructional Video Understanding CVPR 2023 Programmatically Grounded, Compositionally Generalizable Robotic Manipulation ICLR 2023 Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation EACL 2023 Program Translation via Code Distillation EMNLP 2023 Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks CVPR 2023 Progressive Learning for Physics-informed Neural Motion Planning RSS 2023 Progressive Open Space Expansion for Open-Set Model Attribution CVPR 2023 Progressive Prompts: Continual Learning for Language Models ICLR 2023 Progressive Spatio-Temporal Prototype Matching for Text-Video Retrieval ICCV 2023 Progressive Video Summarization via Multimodal Self-Supervised Learning WACV 2023 Progress measures for grokking via mechanistic interpretability ICLR 2023 Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning ICML 2023 PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction EMNLP 2023 Promoting Fairness in Classification of Quality of Medical Evidence ACL 2023 Promptagator: Few-shot Dense Retrieval From 8 Examples ICLR 2023 PromptARA: Improving Deep Representation in Hybrid Automatic Readability Assessment with Prompt and Orthogonal Projection EMNLP 2023