{"title":"Improving Citation Text Generation: Overcoming Limitations in Length Control","authors":"Biswadip Mandal, Xiangci Li, Jessica Ouyang","doi":"arxiv-2407.14997","DOIUrl":null,"url":null,"abstract":"A key challenge in citation text generation is that the length of generated\ntext often differs from the length of the target, lowering the quality of the\ngeneration. While prior works have investigated length-controlled generation,\ntheir effectiveness depends on knowing the appropriate generation length. In\nthis work, we present an in-depth study of the limitations of predicting\nscientific citation text length and explore the use of heuristic estimates of\ndesired length.","PeriodicalId":501285,"journal":{"name":"arXiv - CS - Digital Libraries","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Digital Libraries","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.14997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A key challenge in citation text generation is that the length of generated
text often differs from the length of the target, lowering the quality of the
generation. While prior works have investigated length-controlled generation,
their effectiveness depends on knowing the appropriate generation length. In
this work, we present an in-depth study of the limitations of predicting
scientific citation text length and explore the use of heuristic estimates of
desired length.
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