6 citations · 8 across the 4 of their papers we have counts for
4 papers
Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
Karel D'Oosterlinck, Winnie Xu, Chris Develder +5
Large Language Models (LLMs) are often aligned using contrastive alignment objectives and preference pair datasets. The interaction between model, paired data, and objective makes…
Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation
Jessica Huynh, Cathy Jiao, Prakhar Gupta +4
Language models have steadily increased in size over the past few years. They achieve a high level of performance on various natural language processing (NLP) tasks such as questio…
The DialPort tools
Jessica Huynh, Shikib Mehri, Cathy Jiao +1
The DialPort project http://dialport.org/, funded by the National Science Foundation (NSF), covers a group of tools and services that aim at fulfilling the needs of the dialog rese…
LAD: Language Models as Data for Zero-Shot Dialog
Shikib Mehri, Yasemin Altun, Maxine Eskenazi
To facilitate zero-shot generalization in taskoriented dialog, this paper proposes Language Models as Data (LAD). LAD is a paradigm for creating diverse and accurate synthetic data…