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
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32
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68
99
237
538
946
1,088
1,362
1,486
2,589
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2,006
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Papers (including subtopics)
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions
EMNLP 2024
Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors
NeurIPS 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
NeurIPS 2024
Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt Tuning
EMNLP 2024
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness
SemEval 2024
DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos
AAAI 2024
D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models
NeurIPS 2024
DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations
ICLR 2024
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
NeurIPS 2024
DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model
ICLR 2024
DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering
NeurIPS 2024
DNA Language Model and Interpretable Graph Neural Network Identify Genes and Pathways Involved in Rare Diseases
ACL 2024
DocCGen: Document-based Controlled Code Generation
EMNLP 2024
DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding
ACL 2024
DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations
AAAI 2024
Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model
EMNLP 2024
Dodo: Dynamic Contextual Compression for Decoder-only LMs
ACL 2024
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?
EMNLP 2024
Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer
COLING 2024
Do Generated Data Always Help Contrastive Learning?
ICLR 2024
Do LLMs learn a true syntactic universal?
EMNLP 2024
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
EMNLP 2024
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
ACL 2024
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning
ACL 2024
Domain Aligned CLIP for Few-Shot Classification
WACV 2024