compositional-generalization
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Multiple paper open-source codes of the Microsoft Research Asia DKI group
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Nov 10, 2023 - Python
A curated list of Composable AI methods: Building AI system by composing modules.
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Nov 24, 2023
Distributional Generalization in NLP. A roadmap.
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Dec 12, 2022 - Jupyter Notebook
ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS '21)
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Nov 28, 2021 - Python
Official pytorch implementation of CVPR2023 paper "Learning Conditional Attributes for Compositional Zero-Shot Learning"
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Oct 19, 2025 - Python
Diverse Demonstrations Improve In-context Compositional Generalization
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Jul 7, 2023 - Python
The codebase for Inducing Causal Structure for Interpretable Neural Networks
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Dec 3, 2021 - Shell
ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation
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Jul 10, 2023 - Jupyter Notebook
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
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Jun 26, 2024 - Python
Baby Abstract Reasoning Corpus (BabyARC) dataset engine, for generating grid-world-based abstract reasoning tasks on a large scale.
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Jan 23, 2022 - Python
[ACL'2023 Oral] "Learning to Substitute Span towards Improving Compositional Generalization"
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Nov 27, 2023 - Python
Code from the article: "Lost in Latent Space: Examining Failures of Disentangled Models at Combinatorial Generalisaton" (NeurIPS, 2022)
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Jan 4, 2023 - Python
Official implementation of ICLR 2023 paper "A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics"
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May 16, 2023 - Jupyter Notebook
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.
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Jan 24, 2023 - Python
[ACL 2024] "Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation"
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Oct 31, 2024 - Python
Living Survey for papers on Compositional Generalization in NLP
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Nov 3, 2025 - Vue
Causal Abstraction of Neural Models Trained to Solve ReaSCAN
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Dec 3, 2021 - Python
Minimal model of tool discovery and tool innovation using active inference
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Jun 12, 2025 - Jupyter Notebook
Object-Centric Disentangled Mechanisms
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Nov 4, 2025 - Python
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