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Jimmy Lin

4 papers here

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

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IR2
  • cs.CL1
  • cs.CV1
ORCID 0000-0002-0661-7189
same name
  • Jimmy Lin — 16 papers, h 9
  • Jimmy Lin — 15 papers, h 12
  • Jimmy Lin — 8 papers, h 3
  • Jimmy Lin — 6 papers, h 1
  • Jimmy Lin — 6 papers, h 2
  • Jimmy Lin — 4 papers, h 6

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

activity
20122023
most citedSimple Applications of BERT for Ad Hoc Document Retrieval

133 citations · 141 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 2 cited

Which Model Shall I Choose? Cost/Quality Trade-offs for Text Classification Tasks

Shi Zong, Josh Seltzer, Jiahua +3

Industry practitioners always face the problem of choosing the appropriate model for deployment under different considerations, such as to maximize a metric that is crucial for pro…

cs.CV2022★ 5 cited

What the DAAM: Interpreting Stable Diffusion Using Cross Attention

Raphael Tang, Linqing Liu, Akshat Pandey +6

Large-scale diffusion neural networks represent a substantial milestone in text-to-image generation, but they remain poorly understood, lacking interpretability analyses. In this p…

cs.IR2019★ 133 cited

Simple Applications of BERT for Ad Hoc Document Retrieval

Wei Yang, Haotian Zhang, Jimmy Lin

Following recent successes in applying BERT to question answering, we explore simple applications to ad hoc document retrieval. This required confronting the challenge posed by doc…

cs.IR2012★ 1 cited

A Study of "Churn" in Tweets and Real-Time Search Queries (Extended Version)

Jimmy Lin, Gilad Mishne

The real-time nature of Twitter means that term distributions in tweets and in search queries change rapidly: the most frequent terms in one hour may look very different from those…

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