Papers by Jiasheng Gu

1 papers
Robustness of Learning from Task Instructions (2023.findings-acl)

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Challenge: traditional supervised learning mostly works on individual tasks and requires training on a large set of task-specific examples.
Approach: a new study investigates the system robustness when instructions are manipulated and paraphrased . task instructions give the model the definition of the task and allow it to output the appropriate answer .
Outcome: a new study shows that supervised learning is robust when instructions are manipulated, paraphrased or iii from different levels of conciseness.

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