The study evaluates a Self-Ask-style multi-hop QA pipeline using GPT-4.1-mini as the reasoning model, BM25 retrieval of three passages per generated sub-question, accumulated content-deduplicated passages, and three benchmarks; Contriever is additionally evaluated on MuSiQue and HotpotQA.

The study evaluates a Self-Ask-style multi-hop QA pipeline using GPT-4.1-mini as the reasoning model, BM25 retrieval of three passages per generated sub-question, accumulated content-deduplicated passages, and three benchmarks; Contriever is additionally evaluated on MuSiQue and HotpotQA. · CiteArk

Measurement results

0/1 assessed

0 supported0 disputed or conflicting1 not assessed

The complete result group stays with its claim. Assessed rows come first; their judgments do not replace the whole-claim conclusion. Expand a row for conditions, sources, and evidence history.

Each row is a measurement with its reported value, latest available observation, and cumulative evidence state.
Metric and conditions	Reported	Latest observation	Evidence judgment
	3 passages	—	Not assessed

The study evaluates a Self-Ask-style multi-hop QA pipeline using GPT-4.1-mini as the reasoning model, BM25 retrieval of three passages per generated sub-question, accumulated content-deduplicated passages, and three benchmarks; Contriever is additionally evaluated on MuSiQue and HotpotQA.

Reported and observed measurements

Assessments (0)

Runs (0)

Measurement results