compositional-generalization
There are 19 repositories under compositional-generalization topic.
microsoft/ContextualSP
Multiple paper open-source codes of the Microsoft Research Asia DKI group
Adamdad/Awesome-ComposableAI
A curated list of Composable AI methods: Building AI system by composing modules.
FranxYao/Distributional-Generalization-in-Natural-Language-Processing
Distributional Generalization in NLP. A roadmap.
frankaging/Reason-SCAN
ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS '21)
wqshmzh/CANet-CZSL
Official pytorch implementation of CVPR2023 paper "Learning Conditional Attributes for Compositional Zero-Shot Learning"
itayle/diverse-demonstrations
Diverse Demonstrations Improve In-context Compositional Generalization
frankaging/Interchange-Intervention-Training
The codebase for Inducing Causal Structure for Interpretable Neural Networks
frankaging/ReCOGS
ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation
rahul13ramesh/compositional_capabilities
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
frankaging/BabyARC
Baby Abstract Reasoning Corpus (BabyARC) dataset engine, for generating grid-world-based abstract reasoning tasks on a large scale.
Zhaoyi-Li21/Compgen_l2s2
[ACL'2023 Oral] "Learning to Substitute Span towards Improving Compositional Generalization"
liqing-ustc/HINT
Official implementation of ICLR 2023 paper "A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics"
mmrl/lost-in-latent-space
Code from the article: "Lost in Latent Space: Examining Failures of Disentangled Models at Combinatorial Generalisaton" (NeurIPS, 2022)
Casparvolquardsen/Compositional-Generalization-in-Multimodal-Language-Learning
This repository shares the most important sources used for the reasearch paper "More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning" by Caspar Volquardsen, Jae Hee Lee, Cornelius Weber, and Stefan Wermter.
avi-otterai/compositional-generalization-lit-review
Living Survey for papers on Compositional Generalization in NLP
Zhaoyi-Li21/compmctg_protocols
[ACL 2024] "Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation"
frankaging/ReaSCAN-Causal
Causal Abstraction of Neural Models Trained to Solve ReaSCAN
miltonllera/ocdm
Object-Centric Disentangled Mechanisms
PoppyCollis/AIF_Tools
Minimal model of tool discovery and tool innovation using active inference