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20172023
most citedSelective Annotation Makes Language Models Better Few-Shot Learners

64 citations · 439 across the 25 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CL2021★ 20 cited

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization

Ziming Mao, Chen Henry Wu, Ansong Ni +7

Transformer-based models have achieved state-of-the-art performance on short-input summarization. However, they still struggle with summarizing longer text. In this paper, we prese…

cs.CL2021★ 1 cited

Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions

Naihao Deng, Shuaichen Chang, Peng Shi +2

Existing text-to-SQL research only considers complete questions as the input, but lay-users might strive to formulate a complete question. To build a smarter natural language inter…

cs.CL2021

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next

Yusen Zhang, Ansong Ni, Tao Yu +6

Dialogue summarization helps readers capture salient information from long conversations in meetings, interviews, and TV series. However, real-world dialogues pose a great challeng…

cs.CL2021

SummerTime: Text Summarization Toolkit for Non-experts

Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma +5

Recent advances in summarization provide models that can generate summaries of higher quality. Such models now exist for a number of summarization tasks, including query-based summ…

cs.CL2021

Logic-Consistency Text Generation from Semantic Parses

Chang Shu, Yusen Zhang, Xiangyu Dong +3

Text generation from semantic parses is to generate textual descriptions for formal representation inputs such as logic forms and SQL queries. This is challenging due to two reason…

cs.CL2021★ 27 cited

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization

Ming Zhong, Da Yin, Tao Yu +8

Meetings are a key component of human collaboration. As increasing numbers of meetings are recorded and transcribed, meeting summaries have become essential to remind those who may…