John Wieting

Evaluating Large Language Models on Controlled Generation Tasks

2023 · arXiv (Cornell University)

While recent studies have looked into the abilities of large language models in various benchmark tasks, including question generation, reading comprehension, multilingual and etc, there have been few studies looking into the controllability of large …

From Paraphrase Database to Compositional Paraphrase Model and Back

2015 · Transactions of the Association for Computational Linguistics

The Paraphrase Database (PPDB; Ganitkevitch et al., 2013) is an extensive semantic resource, consisting of a list of phrase pairs with (heuristic) confidence estimates. However, it is still unclear how it can best be used, …

Charagram: Embedding Words and Sentences via Character n-grams

2016

We present CHARAGRAM embeddings, a simple approach for learning character-based compositional models to embed textual sequences. A word or sentence is represented using a character n-gram count vector, followed by a single nonlinear transformation to …

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks

2018

Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.