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)
An Audit on the Perspectives and Challenges of Hallucinations in NLP
EMNLP 2024
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction
AAAI 2024
Anchor-based Large Language Models
ACL 2024
Anchor Points: Benchmarking Models with Much Fewer Examples
EACL 2024
Ancient Chinese Punctuation via In-Context Learning
COLING 2024
Ancient Chinese Sentence Segmentation and Punctuation on Xunzi LLM
COLING 2024
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy
ACL 2024
AND: Audio Network Dissection for Interpreting Deep Acoustic Models
ICML 2024
Android in the Zoo: Chain-of-Action-Thought for GUI Agents
EMNLP 2024
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
NeurIPS 2024
An effective framework for estimating individualized treatment rules
NeurIPS 2024
An Effective Polynomial Technique for Compiling Conditional Effects Away
AAAI 2024
An Effective Span-based Multimodal Named Entity Recognition with Consistent Cross-Modal Alignment
COLING 2024
An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding
NeurIPS 2024
An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making
EMNLP 2024
An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements
ACL 2024
An Embodied Generalist Agent in 3D World
ICML 2024
An Empirical Analysis on Large Language Models in Debate Evaluation
ACL 2024
An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models
EMNLP 2024
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series
ICML 2024
An Empirical Investigation Into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification
WACV 2024
An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation
ECCV 2024
An Empirical Study Into What Matters for Calibrating Vision-Language Models
ICML 2024
An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract)
AAAI 2024
An Empirical Study of In-context Learning in LLMs for Machine Translation
ACL 2024