Still Fresh? Evaluating Temporal Drift in Retrieval Benchmarks | ScienceToStartup | ScienceToStartup

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References (25)

[1]

A Large-Scale Study of Relevance Assessments with Large Language Models Using UMBRELA

2025Shivani Upadhyay, Ronak Pradeep et al.

[2]

Overview of the TREC 2022 Deep Learning Track

2025Nick Craswell, Bhaskar Mitra et al.

[3]

Overview of the TREC 2021 Deep Learning Track

Founder's Pitch

"FreshStack analyzes the impact of temporal drift in IR benchmarks for more reliable technical domain evaluations."

Information Retrieval•Score: 5•View PDF ↗

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Still Fresh? Evaluating Temporal Drift in Retrieval Benchmarks

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References (25)

Founder's Pitch

"FreshStack analyzes the impact of temporal drift in IR benchmarks for more reliable technical domain evaluations."

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Still Fresh? Evaluating Temporal Drift in Retrieval Benchmarks

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References (25)

Founder's Pitch

"FreshStack analyzes the impact of temporal drift in IR benchmarks for more reliable technical domain evaluations."

Commercial Viability Breakdown

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