Co-occurring keywords · papers mentioning both
Papers
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
ICML 2024
Towards Equipping Transformer with the Ability of Systematic Compositionality
AAAI 2024
Towards Reliable Learning in the Wild: Generalization and Adaptation
AAAI 2024
Towards Understanding the Relationship between In-context Learning and Compositional Generalization
COLING 2024
What Makes Models Compositional? A Theoretical View
IJCAI 2024
Characterizing intrinsic compositionality in transformers with Tree Projections
ICLR 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
NeurIPS 2023
Compositional Generalisation with Structured Reordering and Fertility Layers
EACL 2023
Compositional Generalization for Data-to-Text Generation
EMNLP 2023
Compositional Generalization from First Principles
NeurIPS 2023
Compositional Generalization in Spoken Language Understanding
Interspeech 2023
Compositional Generalization without Trees using Multiset Tagging and Latent Permutations
ACL 2023
Compositionality with Variation Reliably Emerges in Neural Networks
ICLR 2023
Compositional Semantic Parsing with Large Language Models
ICLR 2023
Compositional Task Representations for Large Language Models
ICLR 2023
Consistency Regularization Training for Compositional Generalization
ACL 2023
Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment
ACL 2023
Data Factors for Better Compositional Generalization
EMNLP 2023
Differentiable Tree Operations Promote Compositional Generalization
ICML 2023
DiNeR: A Large Realistic Dataset for Evaluating Compositional Generalization
EMNLP 2023
Diverse Demonstrations Improve In-context Compositional Generalization
ACL 2023
Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework
NeurIPS 2023
Does Visual Pretraining Help End-to-End Reasoning?
NeurIPS 2023
Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement
RSS 2023
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
AAAI 2023