Papers with speaker models

2 papers
Unified Pragmatic Models for Generating and Following Instructions (N18-1)

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Challenge: a new technique for layering explicit pragmatic inference on top of models for sequential tasks is proposed . explicit pragmatic reasoning is used to generate and follow natural language instructions .
Approach: They propose a pragmatic speaker that uses the base listener to simulate the interpretation of candidate descriptions and a listener that reasons counterfactually about alternative descriptions.
Outcome: The proposed model improves state-of-the-art models for interpreting human instructions and speaker models in diverse settings.
Spatially-Aware Speaker for Vision-and-Language Navigation Instruction Generation (2024.acl-long)

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Challenge: Existing speaker models learn strategies to evade evaluation metrics and obtain higher scores even for low-quality sentences.
Approach: They propose a speaker-based instruction generator that utilises both structural and semantic knowledge of the environment to produce richer instructions.
Outcome: The proposed model outperforms existing models and is evaluated using standard metrics.

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