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Melanie Subbiah

Columbia University

19 papers hereh-index 759.5k citations19 works total

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

author position
  • first author7
  • middle author10

Across the 17 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CL15
  • cs.AI3
  • cs.LG1
affiliations
  • Columbia University
Homepage

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedLanguage Models are Few-Shot Learners

3k citations · 3k across the 15 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.AI2024

STORYSUMM: Evaluating Faithfulness in Story Summarization

Melanie Subbiah, Faisal Ladhak, Akankshya Mishra +3

Human evaluation has been the gold standard for checking faithfulness in abstractive summarization. However, with a challenging source domain like narrative, multiple annotators ca…

cs.CL2024★ 1 cited

Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers

Melanie Subbiah, Sean Zhang, Lydia B. Chilton +1

We evaluate recent Large Language Models (LLMs) on the challenging task of summarizing short stories, which can be lengthy, and include nuanced subtext or scrambled timelines. Impo…

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