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)
Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference
ICLR 2025
Distributional Adversarial Loss
AISTATS 2025
Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers
ICLR 2025
Distributional Counterfactual Explanations With Optimal Transport
AISTATS 2025
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
AAAI 2025
Distributional Reinforcement Learning with Dual Expectile-Quantile Regression
UAI 2025
Distributional Surgery for Language Model Activations
EMNLP 2025
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship
AAAI 2025
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
AAAI 2025
Distribution Prompting: Understanding the Expressivity of Language Models Through the Next-Token Distributions They Can Produce
EMNLP 2025
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent
ICLR 2025
DiTaiListener: Controllable High Fidelity Listener Video Generation with Diffusion
ICCV 2025
Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy
ICCV 2025
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
CVPR 2025
DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation
CVPR 2025
DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors
ICLR 2025
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts
ACL 2025
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints
AAAI 2025
Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games
ICLR 2025
Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation
NAACL 2025
Diverge to Induce Prompting: Multi-Rationale Induction for Zero-Shot Reasoning
IJCNLP 2025
Diverging Preferences: When do Annotators Disagree and do Models Know?
ICML 2025
Diverse Multi-tool Aggregation with Large Language Models for Enhanced Math Reasoning
EMNLP 2025
Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models
EMNLP 2025
Diverse Preference Learning for Capabilities and Alignment
ICLR 2025