Models
20,488 papers (23 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Generative Models (8,597)
Diffusion Models (6,478)
Large Language Models (2,815)
Variational Inference (2,186)
Vision-Language Models (839)
Language Models (763)
Foundation Models (330)
Language Modeling (92)
Variational Autoencoders (67)
Neural Radiance Fields (46)
Sequence-to-Sequence (42)
Variational Autoencoder (24)
Papers per year
2
1
2
10
11
10
13
21
25
32
42
29
68
99
237
538
946
1,088
1,362
1,486
2,589
4,304
5,567
2,006
'5
'10
'15
'20
'25
Papers (including subtopics)
Improved Video VAE for Latent Video Diffusion Model
CVPR 2025
Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge
ACL 2025
Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions
ACL 2025
Improving Chemical Understanding of LLMs via SMILES Parsing
EMNLP 2025
Improving Compositional Generation with Diffusion Models Using Lift Scores
ICML 2025
Improving Conditional Diffusion Models through Re-Noising from Unconditional Diffusion Priors
WACV 2025
Improving Consistency Models with Generator-Augmented Flows
ICML 2025
Improving Detail in Pluralistic Image Inpainting with Feature Dequantization
WACV 2025
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
CVPR 2025
Improving Editability in Image Generation with Layer-wise Memory
CVPR 2025
Improving Equivariant Networks with Probabilistic Symmetry Breaking
ICLR 2025
Improving Faithfulness of Text-to-Image Diffusion Models through Inference Intervention
WACV 2025
Improving Flow Matching by Aligning Flow Divergence
ICML 2025
Improving Large Language Model Confidence Estimates using Extractive Rationales for Classification
ACL 2025
Improving Long-Text Alignment for Text-to-Image Diffusion Models
ICLR 2025
Improving Neural Optimal Transport via Displacement Interpolation
ICLR 2025
Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising
Interspeech 2025
Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching
ICLR 2025
Improving Rectified Flow with Boundary Conditions
ICCV 2025
Improving Reward Models with Synthetic Critiques
NAACL 2025
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations
EMNLP 2025
Improving the Diffusability of Autoencoders
ICML 2025
Improving the Scaling Laws of Synthetic Data with Deliberate Practice
ICML 2025
Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling
CVPR 2025
Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration
CVPR 2025