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)
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
ACL 2024
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
EMNLP 2024
Fact Checking Beyond Training Set
NAACL 2024
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
ACL 2024
Fact-Driven Logical Reasoning for Machine Reading Comprehension
AAAI 2024
FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action Segmentation
CVPR 2024
Factor-Conditioned Speaking-Style Captioning
Interspeech 2024
Factored Online Planning in Many-Agent POMDPs
AAAI 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
NeurIPS 2024
Factorized Explainer for Graph Neural Networks
AAAI 2024
Factorized Learning Assisted with Large Language Model for Gloss-free Sign Language Translation
COLING 2024
FactorSim: Generative Simulation via Factorized Representation
NeurIPS 2024
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence
ACL 2024
Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators
ACL 2024
Factuality of Large Language Models: A Survey
EMNLP 2024
FADES: Fair Disentanglement with Sensitive Relevance
CVPR 2024
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
ICML 2024
Fair Active Learning in Low-Data Regimes
UAI 2024
Fair Allocation in Dynamic Mechanism Design
NeurIPS 2024
Fair Allocation of Items in Multiple Regions
AAAI 2024
Fair and Efficient Chore Allocation: Existence and Computation
IJCAI 2024
Fair and Efficient Contribution Valuation for Vertical Federated Learning
ICLR 2024
Fair and Optimal Prediction via Post-Processing
AAAI 2024
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty
NeurIPS 2024
FairBelief - Assessing Harmful Beliefs in Language Models
NAACL 2024