Co-occurring keywords · papers mentioning both
Papers
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation
AAAI 2022
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation
CVPR 2022
Cross-Task Generalization via Natural Language Crowdsourcing Instructions
ACL 2022
DANLI: Deliberative Agent for Following Natural Language Instructions
EMNLP 2022
Don’t Copy the Teacher: Data and Model Challenges in Embodied Dialogue
EMNLP 2022
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following
CoRL 2022
Fine-tuned Language Models are Continual Learners
EMNLP 2022
HandMeThat: Human-Robot Communication in Physical and Social Environments
NeurIPS 2022
Inferring Rewards from Language in Context
ACL 2022
Large Language Models are Zero-Shot Reasoners
NeurIPS 2022
Learning to Follow Instructions in Text-Based Games
NeurIPS 2022
One Step at a Time: Long-Horizon Vision-and-Language Navigation With Milestones
CVPR 2022
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
EMNLP 2022
Training language models to follow instructions with human feedback
NeurIPS 2022
ULN: Towards Underspecified Vision-and-Language Navigation
EMNLP 2022
Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions
ACL 2022
Analysis of Language Change in Collaborative Instruction Following
EMNLP 2021
Compositional Data and Task Augmentation for Instruction Following
EMNLP 2021
Generalization in Instruction Following Systems
NAACL 2021
Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments
EMNLP 2021
Learning to Recombine and Resample Data For Compositional Generalization
ICLR 2021
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks
IJCAI 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
ICML 2021
Modular Networks for Compositional Instruction Following
NAACL 2021
Reinforcement Learning of Implicit and Explicit Control Flow Instructions
ICML 2021