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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)

Efficient Inverse Multiagent Learning ICLR 2024 Efficient Knowledge Infusion via KG-LLM Alignment ACL 2024 Efficient Large Multi-modal Models via Visual Context Compression NeurIPS 2024 Efficient Learning in Polyhedral Games via Best-Response Oracles AAAI 2024 Efficient Learning of Event-based Dense Representation using Hierarchical Memories with Adaptive Update ECCV 2024 Efficient Lifelong Model Evaluation in an Era of Rapid Progress NeurIPS 2024 Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons EMNLP 2024 Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization NeurIPS 2024 Efficient LLM Scheduling by Learning to Rank NeurIPS 2024 Efficient Low-Dimensional Compression of Overparameterized Models AISTATS 2024 Efficiently Computing Susceptibility to Context in Language Models EMNLP 2024 Efficiently Deciding Algebraic Equivalence of Bow-Free Acyclic Path Diagrams UAI 2024 Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning ACL 2024 Efficient Modality Selection in Multimodal Learning JMLR 2024 Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction UAI 2024 Efficient Multi-agent Reinforcement Learning by Planning ICLR 2024 Efficient multi-prompt evaluation of LLMs NeurIPS 2024 Efficient Multitask Dense Predictor via Binarization CVPR 2024 Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NeurIPS 2024 Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut Learning EMNLP 2024 Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards EMNLP 2024 Efficient Planning with Latent Diffusion ICLR 2024 Efficient Policy Evaluation Across Multiple Different Experimental Datasets NeurIPS 2024 Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds CVPR 2024 Efficient Prompt Optimization Through the Lens of Best Arm Identification NeurIPS 2024