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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)

Enhancing Multimodal Cooperation via Sample-level Modality Valuation CVPR 2024 Enhancing Multimodal Emotion Recognition through ASR Error Compensation and LLM Fine-Tuning Interspeech 2024 Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control NeurIPS 2024 Enhancing Multi-View Pedestrian Detection Through Generalized 3D Feature Pulling WACV 2024 Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes ACL 2024 Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation AAAI 2024 Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank COLING 2024 Enhancing Perception: Refining Explanations of News Claims with LLM Conversations NAACL 2024 Enhancing Policy Gradient Algorithms with Search in Imperfect Information Games IJCAI 2024 Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition EMNLP 2024 Enhancing Preference-based Linear Bandits via Human Response Time NeurIPS 2024 Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework NeurIPS 2024 Enhancing Question Answering on Charts Through Effective Pre-training Tasks EMNLP 2024 Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus NeurIPS 2024 Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024 Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding ACL 2024 Enhancing Robotics with Cognitive Capabilities AAAI 2024 Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NeurIPS 2024 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NeurIPS 2024 Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections NeurIPS 2024 Enhancing Scalability of Metric Differential Privacy via Secret Dataset Partitioning and Benders Decomposition IJCAI 2024 Enhancing Self-Attention via Knowledge Fusion: Deriving Sentiment Lexical Attention from Semantic-Polarity Scores NAACL 2024 Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach ACL 2024 Enhancing Semantics in Multimodal Chain of Thought via Soft Negative Sampling COLING 2024 Enhancing Social Media Health Prediction Certainty by Integrating Large Language Models with Transformer Classifiers ACL 2024