560 citations · 1.1k across the 56 of their papers we have counts for
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Effective Unsupervised Constrained Text Generation based on Perturbed Masking
Yingwen Fu, Wenjie Ou, Zhou Yu +1
Unsupervised constrained text generation aims to generate text under a given set of constraints without any supervised data. Current state-of-the-art methods stochastically sample…
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
Yanda Chen, Ruiqi Zhong, Narutatsu Ri +5
Large language models (LLMs) are trained to imitate humans to explain human decisions. However, do LLMs explain themselves? Can they help humans build mental models of how LLMs pro…
Using Textual Interface to Align External Knowledge for End-to-End Task-Oriented Dialogue Systems
Qingyang Wu, Deema Alnuhait, Derek Chen +1
Traditional end-to-end task-oriented dialogue systems have been built with a modularized design. However, such design often causes misalignment between the agent response and exter…
Prompt-Based Monte-Carlo Tree Search for Goal-Oriented Dialogue Policy Planning
Xiao Yu, Maximillian Chen, Zhou Yu
Planning for goal-oriented dialogue often requires simulating future dialogue interactions and estimating task progress. Many approaches thus consider training neural networks to p…
PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs
Rahul Goel, Waleed Ammar, Aditya Gupta +13
Research interest in task-oriented dialogs has increased as systems such as Google Assistant, Alexa and Siri have become ubiquitous in everyday life. However, the impact of academi…
Mixture of Soft Prompts for Controllable Data Generation
Derek Chen, Celine Lee, Yunan Lu +2
Large language models (LLMs) effectively generate fluent text when the target output follows natural language patterns. However, structured prediction tasks confine the output form…