Better Results Through Ambiguity Resolution: Large Language Models that Ask Clarifying Questions

Author:

Tix BernadetteORCID,Binsted KimORCID

Publisher

Springer Nature Switzerland

Reference42 articles.

1. D’Amour, A., et al.: Underspecification presents challenges for credibility in modern machine learning. J. Mach. Learn. Res. 23(226), 10237–226:10297 (2022)

2. Kuhn, L., Gal, Y., Farquhar, S.: CLAM: selective clarification for ambiguous questions with generative language models. In: ICML 2023 Workshop on Deployment Challenges for Generative AI. (2023)

3. Park, J., et al.: CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents (2023). http://arxiv.org/abs/2306.10376, https://doi.org/10.48550/arXiv.2306.10376

4. Fillmore, C.J.: Some problems for case grammar. In: Shuy, R.W., Fasold, R.W. (eds.) Report Of The Twenty-Second Annual Round Table Meeting on Linguistics and Language Studies. Georgetown Univ. Press, Washington, DC (1973)

5. Pollard, C., Sag, I.A.: Head-Driven Phrase Structure Grammar. University of Chicago Press, Chicago (1994)

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