Papers by Jingyue Yang

2 papers
Bootstrapping Code Translation with Weighted Multilanguage Exploration (2026.acl-long)

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Challenge: Existing methods to improve code translation depend on abundant parallel code of high quality, which may not always be available.
Approach: They propose a method that leverages functional invariance and cross-lingual portability of test suites to serve as universal verification oracles for multilingual reinforcement learning.
Outcome: The proposed method leverages functional invariance and cross-lingual portability of test suites to serve as universal verification oracles for multilingual reinforcement learning (RL) training.
Generative Entity Typing with Curriculum Learning (2022.emnlp-main)

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Challenge: Entity typing fails to assign an entity to the types beyond the predefined type set.
Approach: They propose a generative entity typing paradigm that assigns types to entities . traditional classification-based approaches fail to assign entities to the types beyond the predefined set . they employ curriculum learning to train the model on heterogeneous data .
Outcome: The proposed model outperforms the state-of-the-art model on heterogeneous training data.

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