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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'25
Papers (including subtopics)
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems
NeurIPS 2024
DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment
Interspeech 2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
NeurIPS 2024
DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?
EMNLP 2024
Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models
AAAI 2024
Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights
IJCAI 2024
Detecting Ambiguous Utterances in an Intelligent Assistant
EMNLP 2024
Detecting and Identifying Selection Structure in Sequential Data
ICML 2024
Detecting and Measuring Confounding Using Causal Mechanism Shifts
NeurIPS 2024
Detecting and Preventing Hallucinations in Large Vision Language Models
AAAI 2024
Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability
IJCAI 2024
Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA
ICML 2024
Detecting Bipolar Disorder from Misdiagnosed Major Depressive Disorder with Mood-Aware Multi-Task Learning
NAACL 2024
Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning
NeurIPS 2024
Detecting Conceptual Abstraction in LLMs
COLING 2024
Detecting critical treatment effect bias in small subgroups
UAI 2024
Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors
EMNLP 2024
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics
COLING 2024
Detecting Influence Structures in Multi-Agent Reinforcement Learning
ICML 2024
Detecting LLM-Assisted Cheating on Open-Ended Writing Tasks on Language Proficiency Tests
EMNLP 2024
Detecting Mode Collapse in Language Models via Narration
EACL 2024
Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter
EMNLP 2024
Detecting Personal Identifiable Information in Swedish Learner Essays
EACL 2024
Detecting Pretraining Data from Large Language Models
ICLR 2024
Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood
EMNLP 2024