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)
Compos Mentis at SemEval2024 Task6: A Multi-Faceted Role-based Large Language Model Ensemble to Detect Hallucination
SemEval 2024
Comprehensive Abstractive Comment Summarization with Dynamic Clustering and Chain of Thought
ACL 2024
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
ECCV 2024
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
ICML 2024
Compressing Large Language Models by Joint Sparsification and Quantization
ICML 2024
Compressing Large Language Models using Low Rank and Low Precision Decomposition
NeurIPS 2024
Compressing LLMs: The Truth is Rarely Pure and Never Simple
ICLR 2024
Compromesso! Italian Many-Shot Jailbreaks undermine the safety of Large Language Models
ACL 2024
Computational Argumentation: Reasoning, Dynamics, and Supporting Explainability
IJCAI 2024
Computational Aspects of Bayesian Persuasion under Approximate Best Response
NeurIPS 2024
Computational Linguistics for Brain Encoding and Decoding: Principles, Practices and Beyond
ACL 2024
Computational Meme Understanding: A Survey
EMNLP 2024
Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals
EACL 2024
Computation-Aware Learning for Stable Control with Gaussian Process
RSS 2024
Computation with Sequences of Assemblies in a Model of the Brain
ALT 2024
Compute Better Spent: Replacing Dense Layers with Structured Matrices
ICML 2024
Computer Vision on the Edge: Individual Cattle Identification in Real-Time With ReadMyCow System
WACV 2024
Computing Low-Entropy Couplings for Large-Support Distributions
UAI 2024
Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints
AAAI 2024
Computing Optimal Equilibria in Repeated Games with Restarts
IJCAI 2024
Concealing Sensitive Samples against Gradient Leakage in Federated Learning
AAAI 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
NeurIPS 2024
Concept-aware Data Construction Improves In-context Learning of Language Models
ACL 2024
Concept-Best-Matching: Evaluating Compositionality In Emergent Communication
ACL 2024
Concept-Centric Transformers: Enhancing Model Interpretability Through Object-Centric Concept Learning Within a Shared Global Workspace
WACV 2024