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Haw-Shiuan Chang

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.IR1
ORCID 0000-0003-4607-936X
same name
  • Haw-Shiuan Chang — 13 papers, h 16
  • Haw-Shiuan Chang — 5 papers, h 1
  • Haw-Shiuan Chang — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedRevisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.IR2023

To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders

Haw-Shiuan Chang, Nikhil Agarwal, Andrew McCallum

Recent studies suggest that the existing neural models have difficulty handling repeated items in sequential recommendation tasks. However, our understanding of this difficulty is…

cs.CL2023★ 1 cited

Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens

Ronald Seoh, Haw-Shiuan Chang, Andrew McCallum

Many useful tasks on scientific documents, such as topic classification and citation prediction, involve corpora that span multiple scientific domains. Typically, such tasks are ac…

cs.CL2023★ 1 cited

Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond

Haw-Shiuan Chang, Zonghai Yao, Alolika Gon +2

Is the output softmax layer, which is adopted by most language models (LMs), always the best way to compute the next word probability? Given so many attention layers in a modern tr…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.