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)
Counterfactually Comparing Abstaining Classifiers
NeurIPS 2023
Counterfactual Memorization in Neural Language Models
NeurIPS 2023
Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning
ACL 2023
Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias
ACL 2023
Counterfactual reasoning: Testing language models’ understanding of hypothetical scenarios
ACL 2023
Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors
ACL 2023
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns
EACL 2023
Countering Misinformation via Emotional Response Generation
EMNLP 2023
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation
ACL 2023
Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI)
EMNLP 2023
Counting Background Knowledge Consistent Markov Equivalent Directed Acyclic Graphs
UAI 2023
Counting the Bugs in ChatGPT’s Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
EMNLP 2023
Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment
IJCAI 2023
Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text
ACL 2023
CoVariance-based Causal Debiasing for Entity and Relation Extraction
EMNLP 2023
Coverage-based Example Selection for In-Context Learning
EMNLP 2023
Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment
ACL 2023
COVID-VTS: Fact Extraction and Verification on Short Video Platforms
EACL 2023
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation
CVPR 2023
C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation
ACL 2023
CQNV: A Combination of Coarsely Quantized Bitstream and Neural Vocoder for Low Rate Speech Coding
Interspeech 2023
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events
EMNLP 2023
CRAFT: Concept Recursive Activation FacTorization for Explainability
CVPR 2023
Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning
AAAI 2023
CrAM: A Compression-Aware Minimizer
ICLR 2023