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Paper

When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making

by Independent / Community 0000f2eb98405f7d4044761c1707a199ac6189bc
Free2AITools Nexus Index
65.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 75
P: Popularity 50
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance

Historically, much of machine learning research has focused on the performance of the algorithm alone, but recently more attention has been focused on optimizing joint human-algorithm performance. Here, we analyze a specific type of human-algorithm collaboration where the algorithm has access to a set of n items, and presents a subset of size k to the human, who selects a final item from among those k. This scenario could model content recommendation, route planning, or any type of labeling t...

Semantic Scholar 9 Citations
Paper Information Summary
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Registry ID 0000f2eb98405f7d4044761c1707a199ac6189bc
License ArXiv
Provider semantic_scholar
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Academic & Research Attribution

BibTeX
@misc{0000f2eb98405f7d4044761c1707a199ac6189bc,
  author = {Unknown},
  title = {When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0000f2eb98405f7d4044761c1707a199ac6189bc}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making [Paper]. Free2AITools. https://api.semanticscholar.org/0000f2eb98405f7d4044761c1707a199ac6189bc

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βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 75
Popularity (P) 50
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making: Authority (A:75), Popularity (P:50), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"Historically, much of machine learning research has focused on the performance of the algorithm alone, but recently more attention has been focused on optimizing joint human-algorithm performance. Here, we analyze a specific type of human-algorithm collaboration where the algorithm has access to a set of n items, and presents a subset of size k to the human, who selects a final item from among those k. This scenario could model content recommendation, route planning, or any type of labeling t..."

❝ Cite Node

@article{Unknown2026When,
  title={When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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πŸ“Š Research Signals

πŸ“ˆ9CitationsSemantic Scholar
πŸ›οΈ75AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
πŸ—‚οΈautomation workflowField

🏷️ Research Topics

attention mechanism
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semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

βš™οΈ Technical Specs

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null
params billions
null
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