644 citations · 782 across the 16 of their papers we have counts for
4 papers · 1 filter
Metric Learning for Dynamic Text Classification
Jeremy Wohlwend, Ethan R. Elenberg, Samuel Altschul +2
Traditional text classifiers are limited to predicting over a fixed set of labels. However, in many real-world applications the label set is frequently changing. For example, in in…
Interactive Classification by Asking Informative Questions
Lili Yu, Howard Chen, Sida Wang +2
We study the potential for interaction in natural language classification. We add a limited form of interaction for intent classification, where users provide an initial query usin…
Structured Pruning of Large Language Models
Ziheng Wang, Jeremy Wohlwend, Tao Lei
Large language models have recently achieved state of the art performance across a wide variety of natural language tasks. Meanwhile, the size of these models and their latency hav…
Building a Production Model for Retrieval-Based Chatbots
Kyle Swanson, Lili Yu, Christopher Fox +2
Response suggestion is an important task for building human-computer conversation systems. Recent approaches to conversation modeling have introduced new model architectures with i…