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06/26/2023
Exploring the Robustness of Large Language Models for Solving Programming Problems
Using large language models (LLMs) for source code has recently gained a...
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07/28/2022
Engineering faster double-array Aho-Corasick automata
Multiple pattern matching in strings is a fundamental problem in text pr...
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05/19/2022
Are Prompt-based Models Clueless?
Finetuning large pre-trained language models with a task-specific head h...
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10/29/2019
Findings of the Third Workshop on Neural Generation and Translation
This document describes the findings of the Third Workshop on Neural Gen...
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06/08/2018
Findings of the Second Workshop on Neural Machine Translation and Generation
This document describes the findings of the Second Workshop on Neural Ma...
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06/19/2017
An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation
Training of neural machine translation (NMT) models usually uses mini-ba...
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04/23/2017
Neural Machine Translation via Binary Code Prediction
In this paper, we propose a new method for calculating the output layer ...
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01/15/2017
