Papers by Kunal Handa

2 papers
“Mistakes Help Us Grow”: Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms (2023.emnlp-main)

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Challenge: GMSL has been shown to significantly reduce disparities in academic achievement and enhance students’ learning outcomes.
Approach: They develop a coaching tool to reframe unsupportive utterances to GMSL using large language models.
Outcome: The proposed model outperforms the GMSL-trained teachers in fostering a growth mindset and promoting challenge-seeking behavior.
Emergence of Abstract State Representations in Embodied Sequence Modeling (2023.emnlp-main)

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Challenge: Sequence modeling is a simple yet versatile task that can be applied to more complex decision-making domains.
Approach: They build a sequence modeling Transformer which takes a language instruction, actions, and environmental observations as inputs and then trains a model to reconstruct environmental layouts.
Outcome: The proposed model can reconstruct environmental layouts from the inputs of the model and language instructions play a role in the reconstruction accuracy.

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