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05/24/2023
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing
In executable task-oriented semantic parsing, the system aims to transla...
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05/24/2023
KNN-LM Does Not Improve Open-ended Text Generation
In this paper, we study the generation quality of interpolation-based re...
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10/28/2022
You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LM
Retrieval-enhanced language models (LMs), which condition their predicti...
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10/07/2022
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding
Automatic International Classification of Diseases (ICD) coding aims to ...
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05/19/2022
Modeling Exemplification in Long-form Question Answering via Retrieval
Exemplification is a process by which writers explain or clarify a conce...
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02/26/2022
Model-free Reinforcement Learning for Content Caching at the Wireless Edge via Restless Bandits
An explosive growth in the number of on-demand content requests has impo...
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09/13/2021
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration
Phrase representations derived from BERT often do not exhibit complex ph...
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10/04/2020
STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation
Systems for story generation are asked to produce plausible and enjoyabl...
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09/11/2020
Achieving Adversarial Robustness via Sparsity
Network pruning has been known to produce compact models without much ac...
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06/14/2020
General-Purpose Differentially-Private Confidence Intervals
One of the most common statistical goals is to estimate a population par...
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02/13/2020
Online Algorithms for Multi-shop Ski Rental with Machine Learned Predictions
We study the problem of augmenting online algorithms with machine learne...
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04/17/2019