Transformers
11,186 papers
Papers per year
1
2
6
18
77
188
444
889
1,234
1,664
1,842
2,018
2,189
614
'15
'20
'25
Papers
On the In-context Generation of Language Models
EMNLP 2024
On the Language Encoder of Contrastive Cross-modal Models
ACL 2024
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
ICML 2024
On the Power of Decision Trees in Auto-Regressive Language Modeling
NeurIPS 2024
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks
CVPR 2024
On the Role of Attention Masks and LayerNorm in Transformers
NeurIPS 2024
On the Role of Discrete Tokenization in Visual Representation Learning
ICLR 2024
On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task
EMNLP 2024
On the Surprising Effectiveness of Attention Transfer for Vision Transformers
NeurIPS 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers
AISTATS 2024
On the token distance modeling ability of higher RoPE attention dimension
EMNLP 2024
On the Way to Lossless Compression of Language Transformers: Exploring Cross-Domain Properties of Quantization
COLING 2024
OOVs in the Spotlight: How to Inflect Them?
COLING 2024
Opening the Black Box: Unraveling the Classroom Dialogue Analysis (Student Abstract)
AAAI 2024
Open-Vocabulary Object 6D Pose Estimation
CVPR 2024
Open Vocabulary Semantic Scene Sketch Understanding
CVPR 2024
Opponent Modeling with In-context Search
NeurIPS 2024
OPUS: Occupancy Prediction Using a Sparse Set
NeurIPS 2024
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling
NeurIPS 2024
OSIC: A New One-Stage Image Captioner Coined
IJCAI 2024
OTE: Exploring Accurate Scene Text Recognition Using One Token
CVPR 2024
OtoBERT: Identifying Suffixed Verbal Forms in Modern Hebrew Literature
EMNLP 2024
Outlier-aware Slicing for Post-Training Quantization in Vision Transformer
ICML 2024
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
ICML 2024
Outlier Reduction with Gated Attention for Improved Post-training Quantization in Large Sequence-to-sequence Speech Foundation Models
Interspeech 2024