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)
Latent Inter-User Difference Modeling for LLM Personalization
EMNLP 2025
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
ICML 2025
Latent-Reframe: Enabling Camera Control for Video Diffusion Models without Training
ICCV 2025
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
AAAI 2025
Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution
COLING 2025
Latent Thought Models with Variational Bayes Inference-Time Computation
ICML 2025
Latent Variable Causal Discovery under Selection Bias
ICML 2025
LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models
ACL 2025
LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization
ICCV 2025
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
ICCV 2025
LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement
AAAI 2025
LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients
EMNLP 2025
LATTE: Learning to Think with Vision Specialists
EMNLP 2025
LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular Videos
CVPR 2025
LAuReL: Learned Augmented Residual Layer
ICML 2025
LAVa: Layer-wise KV Cache Eviction with Dynamic Budget Allocation
EMNLP 2025
LaVA-Man: Learning Visual Action Representations for Robot Manipulation
CoRL 2025
LaVin-DiT: Large Vision Diffusion Transformer
CVPR 2025
LAW: Legal Agentic Workflows for Custody and Fund Services Contracts
COLING 2025
Law of the Weakest Link: Cross Capabilities of Large Language Models
ICLR 2025
Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers
CVPR 2025
Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment
EMNLP 2025
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge
EMNLP 2025
Layer by Layer: Uncovering Hidden Representations in Language Models
ICML 2025
Layer Duplication in LLMs
EMNLP 2025