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09/17/2023
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
Previous research in multi-document news summarization has typically con...
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06/27/2023
Next Steps for Human-Centered Generative AI: A Technical Perspective
Through iterative, cross-disciplinary discussions, we define and propose...
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06/01/2023
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning
Large language models (LLMs) have shown impressive performance in follow...
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05/30/2023
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages
Text simplification research has mostly focused on sentence-level simpli...
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05/23/2023
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond
With the recent appearance of LLMs in practical settings, having methods...
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02/17/2023
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions
Modern news aggregators do the hard work of organizing a large news stre...
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11/09/2022
Discord Questions: A Computational Approach To Diversity Analysis in News Coverage
There are many potential benefits to news readers accessing diverse sour...
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05/25/2022
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors
The propensity of abstractive summarization systems to make factual erro...
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05/13/2022
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets
Precisely assessing the progress in natural language generation (NLG) ta...
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05/03/2022
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation
Question generation (QGen) models are often evaluated with standardized ...
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02/15/2022
NewsPod: Automatic and Interactive News Podcasts
News podcasts are a popular medium to stay informed and dive deep into n...
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11/18/2021
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
In the summarization domain, a key requirement for summaries is to be fa...
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07/07/2021
Can Transformer Models Measure Coherence In Text? Re-Thinking the Shuffle Test
The Shuffle Test is the most common task to evaluate whether NLP models ...
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07/07/2021
Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text
This work presents Keep it Simple (KiS), a new approach to unsupervised ...
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05/12/2021
What's The Latest? A Question-driven News Chatbot
This work describes an automatic news chatbot that draws content from a ...
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05/12/2021
News Headline Grouping as a Challenging NLU Task
Recent progress in Natural Language Understanding (NLU) has seen the lat...
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05/11/2021