rowanz / piglet
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World [ACL 2021]
☆54Updated 2 years ago
Related projects: ⓘ
- Code for EmBERT, a transformer model for embodied, language-guided visual task completion.☆57Updated 5 months ago
- ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS…☆19Updated 2 years ago
- ☆22Updated 3 years ago
- Evaluating Machines by their Real-World Language Use☆33Updated last year
- [ICLR 2022] Linking Emergent and Natural Languages via Corpus Transfer☆30Updated 3 months ago
- Repository to generate CLEVR-Dialog: A diagnostic dataset for Visual Dialog☆44Updated 4 years ago
- ☆38Updated 3 years ago
- Evaluating and improving the faithfulness of the interpretations offered by Neural Module Networks☆13Updated last year
- ☆31Updated 3 years ago
- Vision and Language Agent Navigation☆71Updated 3 years ago
- Grounded SCAN data set.☆69Updated 2 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆66Updated last year
- EMNLP 2021: Visual Goal-Step Inference using wikiHow☆14Updated 2 years ago
- Pytorch version of VidLanKD: Improving Language Understanding viaVideo-Distilled Knowledge Transfer (NeurIPS 2021))☆56Updated last year
- Systematic generalization test for CLEVR☆15Updated 4 years ago
- Exploring Few-Shot Adaptation of Language Models with Tables☆23Updated 2 years ago
- The InterScript dataset contains interactive user feedback on scripts generated by a T5-XXL model.☆11Updated 2 years ago
- Code for LaMPP: Language Models as Probabilistic Priors for Perception and Action☆35Updated last year
- [EMNLP 2021] Code and data for our paper "Visually Grounded Reasoning across Languages and Cultures"☆28Updated 2 years ago
- Dataset and documentation for paper on explaining solutions to physical reasoning tasks (ESPRIT))☆21Updated 2 years ago
- Code for the paper "Implicit Representations of Meaning in Neural Language Models"☆48Updated last year
- PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019☆49Updated 4 years ago
- ☆35Updated 2 months ago
- Differentiable First-Order Logic Reasoning for Visual Question Answering☆37Updated 3 years ago
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 2 years ago
- Source Code for paper "Learning from Explanations with Neural Execution Tree", ICLR 2020☆18Updated 3 years ago
- Code used to run experiments for the ICLR 2023 paper "Computational Language Acquisition with Theory of Mind".☆14Updated last year
- ☆23Updated last year
- ☆63Updated 2 years ago
- ☆75Updated last month