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)
No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size
COLING 2025
Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models
NAACL 2025
Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models
EMNLP 2025
Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning
ICLR 2025
Not All Layers of LLMs Are Necessary During Inference
IJCAI 2025
Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification
ICLR 2025
Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance
EMNLP 2025
Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability
CVPR 2025
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
ICLR 2025
Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers
ICML 2025
Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models
ICCV 2025
Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity
EMNLP 2025
Not All Wrong is Bad: Using Adversarial Examples for Unlearning
ICML 2025
Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models
EMNLP 2025
NoT: Federated Unlearning via Weight Negation
CVPR 2025
No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather
CVPR 2025
Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models
CVPR 2025
No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement
COLING 2025
Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss
EMNLP 2025
Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation
RSS 2025
NRC Systems for the WMT2025-LRSL Shared Task
EMNLP 2025
NTA at SemEval-2025 Task 11: Enhanced Multilingual Textual Multi-label Emotion Detection via Integrated Augmentation Learning
SemEval 2025
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel
ICML 2025
NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval
ICLR 2025
Numerical Pruning for Efficient Autoregressive Models
AAAI 2025