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Alexander Martin

12 papers hereh-index 210 citations11 works total

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

author position
  • first author3
  • middle author8
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.IR4
  • cs.CL3
  • cs.CV3
  • cs.AI2
same name
  • Alexander Martin — 11 papers, h 7
  • Alexander Martin — 4 papers, h 22
  • Alexander Martin — 3 papers, h 2
  • Alexander Martin — 1 paper, h 2
  • Alexander Martin — 1 paper

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 citedRANKVIDEO: Reasoning Reranking for Text-to-Video Retrieval

1 citations · 1 across the 11 of their papers we have counts for

collaborators
Showing cs.IRShow all

4 papers · 1 filter

cs.IR2026

MARQUIS: A Three-Stage Pipeline for Video Retrieval-Augmented Generation

Debashish Chakraborty, Dengjia Zhang, Jialiang Jin +7

Retrieval-augmented generation from videos requires systems to retrieve relevant audiovisual evidence from large corpora and synthesize it into coherent, attributed text. Current a…

cs.IR2026

Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage

Saron Samuel, Alexander Martin, Eugene Yang +5

Retrieval-augmented generation (RAG) systems combine document retrieval with a generative model to address complex information seeking tasks like report generation. While the relat…

cs.IR2026

Multi-Vector Index Compression in Any Modality

Hanxiang Qin, Alexander Martin, Rohan Jha +3

We study efficient multi-vector retrieval for late interaction in any modality. Late interaction has emerged as a dominant paradigm for information retrieval in text, images, visua…

cs.IR2026★ 1 cited

RANKVIDEO: Reasoning Reranking for Text-to-Video Retrieval

Tyler Skow, Alexander Martin, Benjamin Van Durme +2

Reranking is a critical component of modern retrieval systems, which typically pair an efficient first-stage retriever with a more expressive model to refine results. While large r…

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