Papers by Kata Naszadi

2 papers
Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog (2023.findings-emnlp)

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Challenge: Previous work bases the timing of questions on supervised models learned from interactions between humans.
Approach: They propose to ground the need for questions in the acting agent's predictive uncertainty by using the T5 encoder-decoder architecture to solve a Minecraft Collaborative Building task.
Outcome: The proposed model can detect ambiguous instructions and predict responses better than previous models.
Communicating with Speakers and Listeners of Different Pragmatic Levels (2024.emnlp-main)

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Challenge: Using a model of the speaker's intentions, people can achieve pragmatic interpretations using a variety of reasoning abilities.
Approach: They propose to model the interaction between speakers and listeners with different levels of pragmatic competence and to model their level of reasoning abilities.
Outcome: The proposed model is based on a simulating language learning and conversing between speakers and listeners with different levels of reasoning abilities.

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