Search Results for author: Kangda Wei

Found 3 papers, 1 papers with code

Compositional Generalization for Kinship Prediction through Data Augmentation

no code implementations NAACL (WNU) 2022 Kangda Wei, Sayan Ghosh, Shashank Srivastava

However, predicting and using intermediate kinship graphs leads to a deterioration in the generalization of kinship prediction by around 50% on average relative to models that only leverage data augmentation.

Data Augmentation

Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers

1 code implementation13 Nov 2023 Kangda Wei, Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava

Recent approaches have explored language-guided classifiers capable of classifying examples from novel tasks when provided with task-specific natural language explanations, instructions or prompts (Sanh et al., 2022; R. Menon et al., 2022).

Test-time Adaptation

When Do Decompositions Help for Machine Reading?

no code implementations20 Dec 2022 Kangda Wei, Dawn Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller

Answering complex questions often requires multi-step reasoning in order to obtain the final answer.

Reading Comprehension Retrieval

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