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09/13/2023
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass
Differentially private stochastic gradient descent (DP-SGD) adds noise t...
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09/11/2023
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
We introduce MAmmoTH, a series of open-source large language models (LLM...
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07/29/2023
Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System
We introduce TacoBot, a user-centered task-oriented digital assistant de...
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05/22/2023
Can ChatGPT Defend the Truth? Automatic Dialectical Evaluation Elicits LLMs' Deficiencies in Reasoning
We explore testing the reasoning ability of large language models (LLMs)...
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05/10/2023
Automatic Evaluation of Attribution by Large Language Models
A recent focus of large language model (LLM) development, as exemplified...
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10/25/2022
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Privacy concerns have attracted increasing attention in data-driven prod...
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07/11/2022
Bootstrapping a User-Centered Task-Oriented Dialogue System
We present TacoBot, a task-oriented dialogue system built for the inaugu...
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03/16/2022
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References
We consider the problem of pretraining a two-stage open-domain question ...
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03/16/2022
Synthetic Question Value Estimation for Domain Adaptation of Question Answering
Synthesizing QA pairs with a question generator (QG) on the target domai...
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06/02/2021
Differential Privacy for Text Analytics via Natural Text Sanitization
Texts convey sophisticated knowledge. However, texts also convey sensiti...
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10/30/2020
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering
Clinical question answering (QA) aims to automatically answer questions ...
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10/24/2020
COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval
We present a large challenging dataset, COUGH, for COVID-19 FAQ retrieva...
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10/11/2020
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation
De-identification is the task of identifying protected health informatio...
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05/01/2020
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
Machine reading comprehension has made great progress in recent years ow...
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03/06/2020
Practical Annotation Strategies for Question Answering Datasets
Annotating datasets for question answering (QA) tasks is very costly, as...
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02/19/2020
Toward Making the Most of Context in Neural Machine Translation
Document-level machine translation manages to outperform sentence level ...
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06/21/2019
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data
Unstructured clinical texts contain rich health-related information. To ...
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06/12/2019