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)
Global-Semantic Alignment Distillation for Partial Multi-view Classification
AAAI 2025
GLoCIM: Global-view Long Chain Interest Modeling for news recommendation
COLING 2025
GlotEval: A Test Suite for Massively Multilingual Evaluation of Large Language Models
EMNLP 2025
GNN-Transformer Task Planning Enhanced with Semantic-Driven Data Augmentation
AAAI 2025
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
ICLR 2025
Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
ICLR 2025
Going Beyond Static: Understanding Shifts with Time-Series Attribution
ICLR 2025
Golden Cudgel Network for Real-Time Semantic Segmentation
CVPR 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
ICLR 2025
GOLFer: Smaller LMs-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval
ACL 2025
Good Intentions Beyond ACL: Who Does NLP for Social Good, and Where?
EMNLP 2025
goodmen @ L-MT Shared Task: A Comparative Study of Neural Models for English-Hindi Legal Machine Translation
AACL 2025
GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks
ICLR 2025
GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC
AAAI 2025
GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale
NSDI 2025
GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference
IJCNLP 2025
Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining
COLING 2025
GRADA: Graph-based Reranking against Adversarial Documents Attack
EMNLP 2025
GRADE: Generating multi-hop QA and fine-gRAined Difficulty matrix for RAG Evaluation
EMNLP 2025
Gradient-Attention Guided Dual-Masking Synergetic Framework for Robust Text-based Person Retrieval
EMNLP 2025
Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation
AAAI 2025
Gradient Boosting Reinforcement Learning
ICML 2025
Gradient Extrapolation for Debiased Representation Learning
ICCV 2025
Gradient-Guided Annealing for Domain Generalization
CVPR 2025
Gradient Inversion Attack in Federated Learning: Exposing Text Data through Discrete Optimization
COLING 2025