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)
The Unheard Alternative: Contrastive Explanations for Speech-to-Text Models
EMNLP 2025
The UNLP 2025 Shared Task on Detecting Social Media Manipulation
ACL 2025
The Unreasonable Effectiveness of Open Science in AI: A Replication Study
AAAI 2025
The Unreasonable Ineffectiveness of the Deeper Layers
ICLR 2025
The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate It
EMNLP 2025
The Value of Prediction in Identifying the Worst-Off
ICML 2025
The Value of Recall in Extensive-Form Games
AAAI 2025
The Value of Sensory Information to a Robot
ICLR 2025
The Visual Counter Turing Test (VCT²): A Benchmark for Evaluating AI-Generated Image Detection and the Visual AI Index (V_AI)
IJCNLP 2025
The Warmup Dilemma: How Learning Rate Strategies Impact Speech-to-Text Model Convergence
ACL 2025
They want to pretend not to understand: The Limits of Current LLMs in Interpreting Implicit Content of Political Discourse
ACL 2025
THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction
AAAI 2025
Things Machine Learning Models Know That They Don’t Know
AAAI 2025
Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models
ACL 2025
Think and Recall: Layer-Level Prompting for Lifelong Model Editing
EMNLP 2025
ThinkBot: Embodied Instruction Following with Thought Chain Reasoning
ICLR 2025
Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling
ACL 2025
Think Clearly: Improving Reasoning via Redundant Token Pruning
EMNLP 2025
ThinkEdit: Interpretable Weight Editing to Mitigate Overly Short Thinking in Reasoning Models
EMNLP 2025
Think Globally, Group Locally: Evaluating LLMs Using Multi-Lingual Word Grouping Games
EMNLP 2025
ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails
ACL 2025
Thinking Before You Speak: A Proactive Test-time Scaling Approach
EMNLP 2025
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
CVPR 2025
Thinking LLMs: General Instruction Following with Thought Generation
ICML 2025
Thinking Out Loud: Do Reasoning Models Know When They’re Right?
EMNLP 2025