28 citations · 41 across the 8 of their papers we have counts for
4 papers · 1 filter
GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
Shivanshu Gupta, Clemens Rosenbaum, Ethan R. Elenberg
In-context Learning (ICL) is the ability of Large Language Models (LLMs) to perform new tasks when conditioned on prompts comprising a few task examples. However, ICL performance c…
Multi-Step Dialogue Workflow Action Prediction
Ramya Ramakrishnan, Ethan R. Elenberg, Hashan Narangodage +1
In task-oriented dialogue, a system often needs to follow a sequence of actions, called a workflow, that complies with a set of guidelines in order to complete a task. In this pape…
On the Effectiveness of Offline RL for Dialogue Response Generation
Paloma Sodhi, Felix Wu, Ethan R. Elenberg +2
A common training technique for language models is teacher forcing (TF). TF attempts to match human language exactly, even though identical meanings can be expressed in different w…
Domain Private Transformers for Multi-Domain Dialog Systems
Anmol Kabra, Ethan R. Elenberg
Large, general purpose language models have demonstrated impressive performance across many different conversational domains. While multi-domain language models achieve low overall…