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05/03/2023
CodeGen2: Lessons for Training LLMs on Programming and Natural Languages
Large language models (LLMs) have demonstrated remarkable abilities in r...
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03/25/2022
A Conversational Paradigm for Program Synthesis
Program synthesis strives to generate a computer program as a solution t...
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11/14/2021
DEEP: DEnoising Entity Pre-training for Neural Machine Translation
It has been shown that machine translation models usually generate poor ...
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07/28/2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
This paper surveys and organizes research works in a new paradigm in nat...
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11/16/2020
WikiAsp: A Dataset for Multi-domain Aspect-based Summarization
Aspect-based summarization is the task of generating focused summaries b...
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11/06/2020
What's New? Summarizing Contributions in Scientific Literature
With thousands of academic articles shared on a daily basis, it has beco...
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10/15/2020
GSum: A General Framework for Guided Neural Abstractive Summarization
Neural abstractive summarization models are flexible and can produce coh...
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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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08/30/2019
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs
Generating a long, coherent text such as a paragraph requires a high-lev...
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08/21/2019
Latent Relation Language Models
In this paper, we propose Latent Relation Language Models (LRLMs), a cla...
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11/01/2018
