91 citations · 92 across the 7 of their papers we have counts for
7 papers
It Matters How You Say It: Exploring Rhetorical Patterns for AI-Assisted Information Evaluation
Sadra Sabouri, Zeinabsadat Saghi, Jordan Lee Boyd-Graber +3
Prior work on AI-assisted information evaluation has largely focused on what AI systems communicate, comparing explanation types and formats, with responses predominantly cast in d…
Your Students Don't Use LLMs Like You Wish They Did
Sebastian Kobler, Matthew Clemson, Angela Sun +1
Educational NLP systems are typically evaluated using engagement metrics and satisfaction surveys, which are at best a proxy for meeting pedagogical goals. We introduce six computa…
SQLucid: Grounding Natural Language Database Queries with Interactive Explanations
Yuan Tian, Jonathan K. Kummerfeld, Toby Jia-Jun Li +1
Though recent advances in machine learning have led to significant improvements in natural language interfaces for databases, the accuracy and reliability of these systems remain l…
Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations
Yuan Tian, Zheng Zhang, Zheng Ning +3
Relational databases play an important role in business, science, and more. However, many users cannot fully unleash the analytical power of relational databases, because they are…
Augmenting Task-Oriented Dialogue Systems with Relation Extraction
Andrew Lee, Zhenguo Chen, Kevin Leach +1
The standard task-oriented dialogue pipeline uses intent classification and slot-filling to interpret user utterances. While this approach can handle a wide range of queries, it do…
Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks
Janarthanan Rajendran, Jonathan K. Kummerfeld, Satinder Singh
For each goal-oriented dialog task of interest, large amounts of data need to be collected for end-to-end learning of a neural dialog system. Collecting that data is a costly and t…
A Large-Scale Corpus for Conversation Disentanglement
Jonathan K. Kummerfeld, Sai R. Gouravajhala, Joseph Peper +6
Disentangling conversations mixed together in a single stream of messages is a difficult task, made harder by the lack of large manually annotated datasets. We created a new datase…