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)
MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection
CVPR 2025
MonoTODia: Translating Monologue Requests to Task-Oriented Dialogues
NAACL 2025
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
ICLR 2025
MONTROSE: LLM-driven Monte Carlo Tree Search Self-Refinement for Cross-Domain Rumor Detection
ACL 2025
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
ICLR 2025
MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts
ACL 2025
Moral Compass: A Data-Driven Benchmark for Ethical Cognition in AI
IJCAI 2025
Moral Framing in Politics (MFiP): A new resource and models for moral framing
EMNLP 2025
MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning
ACL 2025
More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning
EMNLP 2025
More Documents, Same Length: Isolating the Challenge of Multiple Documents in RAG
EMNLP 2025
More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness
ICLR 2025
More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression
EMNLP 2025
Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
ICML 2025
MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics
ICCV 2025
Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
ACL 2025
MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations
EMNLP 2025
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
AAAI 2025
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
ICLR 2025
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
CVPR 2025
MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards
ICLR 2025
Motal: Unsupervised 3D Object Detection by Modality and Task-specific Knowledge Transfer
ICCV 2025
MotionPRO: Exploring the Role of Pressure in Human MoCap and Beyond
CVPR 2025
MotiR: Motivation-aware Retrieval for Long-Tail Recommendation
ACL 2025
MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders
CVPR 2025