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)
Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges
AAAI 2025
Language Models as Continuous Self-Evolving Data Engineers
EMNLP 2025
Language Models Can be Efficiently Steered via Minimal Embedding Layer Transformations
EMNLP 2025
Language Models Lack Temporal Generalization and Bigger is Not Better
ACL 2025
Language Models over Large-Scale Knowledge Base: on Capacity, Flexibility and Reasoning for New Facts
COLING 2025
Language Models Predict Empathy Gaps Between Social In-groups and Out-groups
NAACL 2025
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
ICLR 2025
Language Representations Can be What Recommenders Need: Findings and Potentials
ICLR 2025
Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models
EMNLP 2025
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
ICLR 2025
Large Convolutional Model Tuning via Filter Subspace
ICLR 2025
Large Language Model Agents in Finance: A Survey Bridging Research, Practice, and Real-World Deployment
EMNLP 2025
Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales
COLING 2025
Large Language Model Meets Graph Neural Network in Knowledge Distillation
AAAI 2025
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
NAACL 2025
Large Language Models and Children Have Different Learning Trajectories in Determiner Acquisition
EMNLP 2025
Large Language Models are Good Annotators for Type-aware Data Augmentation in Grammatical Error Correction
COLING 2025
Large Language Models Are Overparameterized Text Encoders
NAACL 2025
Large Language Models as Reader for Bias Detection
EMNLP 2025
Large Language Models as Realistic Microservice Trace Generators
EMNLP 2025
Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization
EMNLP 2025
Large Language Models Still Exhibit Bias in Long Text
ACL 2025
Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility
ICCV 2025
Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection
CVPR 2025
La RoSA: Enhancing LLM Efficiency via Layerwise Rotated Sparse Activation
ICML 2025