Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
RAG-Enhanced Neural Machine Translation of Ancient Egyptian Text: A Case Study of THOTH AI
NAACL 2025
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
EMNLP 2025
RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation
EMNLP 2025
RAGG: Retrieval-Augmented Grasp Generation Model
AAAI 2025
RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization
ICLR 2025
RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering
NAACL 2025
RandLoRA: Full rank parameter-efficient fine-tuning of large models
ICLR 2025
Random at GenAI Detection Task 3: A Hybrid Approach to Cross-Domain Detection of Machine-Generated Text with Adversarial Attack Mitigation
COLING 2025
Random Conditioning for Diffusion Model Compression with Distillation
CVPR 2025
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees
JMLR 2025
Random Registers for Cross-Domain Few-Shot Learning
ICML 2025
RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model
NAACL 2025
Ranked Entropy Minimization for Continual Test-Time Adaptation
ICML 2025
RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding
ICML 2025
RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone
WACV 2025
RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
ICLR 2025
Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models
ICML 2025
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
ICLR 2025
RareSyn: Health Record Synthesis for Rare Disease Diagnosis
EMNLP 2025
RaSA: Rank-Sharing Low-Rank Adaptation
ICLR 2025
RASD: Retrieval-Augmented Speculative Decoding
ACL 2025
RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler
CVPR 2025
Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation
CVPR 2025
Rationale-Guided Distillation for E-Commerce Relevance Classification: Bridging Large Language Models and Lightweight Cross-Encoders
COLING 2025
Rationalizing and Augmenting Dynamic Graph Neural Networks
ICLR 2025