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
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation
IJCAI 2023
Exploring Linguistic Probes for Morphological Generalization
EMNLP 2023
Exploring Partial Knowledge Base Inference in Biomedical Entity Linking
ACL 2023
Exploring Positional Characteristics of Dual-Pixel Data for Camera Autofocus
ICCV 2023
Exploring Practical Vulnerabilities of Machine Learning-based Wireless Systems
NSDI 2023
Exploring Robust Overfitting for Pre-trained Language Models
ACL 2023
Exploring Social Biases of Large Language Models in a College Artificial Intelligence Course
AAAI 2023
Exploring Social Sciences Archives with Explainable Document Linkage through Question Generation
EACL 2023
Exploring Sources of Racial Bias in Automatic Speech Recognition through the Lens of Rhythmic Variation
Interspeech 2023
Exploring Speaker-Related Information in Spoken Language Understanding for Better Speaker Diarization
ACL 2023
Exploring Temporal Concurrency for Video-Language Representation Learning
ICCV 2023
Exploring the Capacity of Pretrained Language Models for Reasoning about Actions and Change
ACL 2023
Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach
EMNLP 2023
Exploring the Curious Case of Code Prompts
ACL 2023
Exploring the Effectiveness of Prompt Engineering for Legal Reasoning Tasks
ACL 2023
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language
CVPR 2023
Exploring the English Accent-independent Features for Speech Emotion Recognition using Filter and Wrapper-based Methods for Feature Selection
Interspeech 2023
Exploring the Impact of Pretrained Models and Web-Scraped Data for the 2022 NIST Language Recognition Evaluation
Interspeech 2023
Exploring the Impact of Transliteration on NLP Performance: Treating Maltese as an Arabic Dialect
ACL 2023
Exploring the Interactions Between Target Positive and Negative Information for Acoustic Echo Cancellation
Interspeech 2023
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data
EMNLP 2023
Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses
EMNLP 2023
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization
CVPR 2023
Exploring the Relative Value of Collaborative Optimisation Pathways (Student Abstract)
AAAI 2023
Exploring the Sensitivity of LLMs’ Decision-Making Capabilities: Insights from Prompt Variations and Hyperparameters
EMNLP 2023