Papers by Chao-Chung Wu

2 papers
I Need Help! Evaluating LLM’s Ability to Ask for Users’ Support: A Case Study on Text-to-SQL Generation (2024.emnlp-main)

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Challenge: a new study examines the proactive ability of large language models to seek user support . without external feedback, many LLMs struggle to recognize their need for user support.
Approach: They propose metrics to evaluate the trade-off between performance improvements and user burden . they also investigate whether LLMs can determine when to request user support .
Outcome: The proposed metrics show that without external feedback, many LLMs struggle to recognize their need for user support.
Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator (D19-3)

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Challenge: acrostic is a form of writing that the first token of each line forms a meaningful sequence.
Approach: They propose a generalized acrostic generation system that can hide certain messages in a flexible pattern specified by the users.
Outcome: The proposed system can hide certain messages in a flexible pattern specified by the users.

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