Grounded Language Learning

[TOC] Title: BABYAI++: Towards Grounded-Language Learning Beyond Memorization Author: Tianshi Cao et. al. Publish Year: 2020 ICLR Review Date: Jan 2022 Summary of paper The paper introduced a new RL environment BabyAI++ that can investigate whether RL agents can extract knowledge from descriptive text and eventually increase generalisation performance. BabyAI++ environment example the descriptive text describe the feature of the object. notice that the feature of object can easily change as we change the descriptive text. Model ...

[TOC] Title: Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction Author: Federico Bianchi Publish Year: 2021 Review Date: Jan 2022 Summary of paper the author investigated grounded language learning through the natural interaction between users and the shopping website search engine. How they do it convert the shopping object dataset into a Latent Grounded Domain related products end up closer in the embedding space train the mapping model (mapping from text query to a portion of product space) based on the user click behaviour (In the training dataset, the users queries about “Nike” and the they would click relevant Nike Product) ...