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)
Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits?
UAI 2023
Exploration of multilingual prompts in document-grounded dialogue
ACL 2023
Exploration via Epistemic Value Estimation
AAAI 2023
Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
EMNLP 2023
Explore the Way: Exploring Reasoning Path by Bridging Entities for Effective Cross-Document Relation Extraction
EMNLP 2023
Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation
EMNLP 2023
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
ICLR 2023
Exploring a New Grammatico-functional Type of Measure as Part of a Language Learning Expert System
ACL 2023
Exploring Artificial Intelligence in English Language Arts with StoryQ
AAAI 2023
Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction
ACL 2023
Exploring Better Text Image Translation with Multimodal Codebook
ACL 2023
Exploring Chain of Thought Style Prompting for Text-to-SQL
EMNLP 2023
Exploring CLIP for Assessing the Look and Feel of Images
AAAI 2023
Exploring Context-Aware Evaluation Metrics for Machine Translation
EMNLP 2023
Exploring Continual Learning for Code Generation Models
ACL 2023
Exploring Discourse Structure in Document-level Machine Translation
EMNLP 2023
Exploring Diverse In-Context Configurations for Image Captioning
NeurIPS 2023
Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning
AAAI 2023
Exploring Geometry of Blind Spots in Vision models
NeurIPS 2023
Exploring Graph Pre-training for Aspect-based Sentiment Analysis
EMNLP 2023
Exploring Group Video Captioning with Efficient Relational Approximation
ICCV 2023
Exploring In-Context Learning for Knowledge Grounded Dialog Generation
EMNLP 2023
Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals
EMNLP 2023
Exploring Large Language Models for Classical Philology
ACL 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection
EMNLP 2023