8 citations · 15 across the 2 of their papers we have counts for
4 papers
SKILL: Structured Knowledge Infusion for Large Language Models
Fedor Moiseev, Zhe Dong, Enrique Alfonseca +1
Large language models (LLMs) have demonstrated human-level performance on a vast spectrum of natural language tasks. However, it is largely unexplored whether they can better inter…
Prosody Modifications for Question-Answering in Voice-Only Settings
Aleksandr Chuklin, Aliaksei Severyn, Johanne Trippas +3
Many popular form factors of digital assistants---such as Amazon Echo, Apple Homepod, or Google Home---enable the user to hold a conversation with these systems based only on the s…
Eval all, trust a few, do wrong to none: Comparing sentence generation models
Ondřej Cífka, Aliaksei Severyn, Enrique Alfonseca +1
In this paper, we study recent neural generative models for text generation related to variational autoencoders. Previous works have employed various techniques to control the prio…
Learning to Attend, Copy, and Generate for Session-Based Query Suggestion
Mostafa Dehghani, Sascha Rothe, Enrique Alfonseca +1
Users try to articulate their complex information needs during search sessions by reformulating their queries. To make this process more effective, search engines provide related q…