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06/21/2023
Resources and Evaluations for Multi-Distribution Dense Information Retrieval
We introduce and define the novel problem of multi-distribution informat...
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06/20/2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Generative Pre-trained Transformer (GPT) models have exhibited exciting ...
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04/19/2023
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
A long standing goal of the data management community is to develop gene...
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10/05/2022
Ask Me Anything: A simple strategy for prompting language models
Large language models (LLMs) transfer well to new tasks out-of-the-box s...
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05/27/2022
Can Foundation Models Help Us Achieve Perfect Secrecy?
A key promise of machine learning is the ability to assist users with pe...
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03/14/2022
Reasoning over Public and Private Data in Retrieval-Based Systems
Users and organizations are generating ever-increasing amounts of privat...
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10/16/2021
Metadata Shaping: Natural Language Annotations for the Tail
Language models (LMs) have made remarkable progress, but still struggle ...
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10/20/2020
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation
A challenge for named entity disambiguation (NED), the task of mapping t...
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05/18/2020
