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Question Answering archive 2025-07-28

Quora Question Pairs Benchmark (Question Answering)

19 rows 18 with code listed 1 metric Dataset page

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

The archive carries no text for this table; the description above is the archive's text for the task Question Answering. archive 2025-07-28

Over time archive 2025-07-28

The chart needs JavaScript; the table below carries every value.

Direction inferred from the metric name, not from the archive: Accuracy (higher is better). Points are placed at the row's paper date; 19 of 19 rows carry one.

Results archive 2025-07-28

Archive rows end at the archive snapshot, 2025-07-28: no result published after that date is in this table. Rank is the archive's row order at that snapshot; not re-ranked here. Metric values are the archive's strings. Column headers sort the table in your browser; each row keeps its archive rank.

Paper Code Ran Syntology Report
1 XLNet (single model) 92.3% – Paper Code 2019 10 of 24 ran · 14 unverified report
2 DeBERTa (large) 92.3% – Paper Code 2020 4 of 13 ran · 9 unverified report
3 ALBERT 90.5% – Paper Code 2019 46 of 126 ran · 80 unverified report
4 T5-11B 90.4% – Paper Code 2019 2 of 31 ran · 29 unverified report
5 MLM+ subs+ del-span 90.3% – Paper – 2020 no code linked report
6 RoBERTa (ensemble) 90.2% – Paper Code 2019 22 of 48 ran · 26 unverified report
7 ERNIE 2.0 Large 90.1% – Paper Code 2019 0 of 1 ran · 1 unverified report
8 ELECTRA 90.1% – Paper Code 2020 26 of 40 ran · 14 unverified report
9 T5-Large 770M 89.9% – Paper Code 2019 2 of 31 ran · 29 unverified report
10 ERNIE 2.0 Base 89.8% – Paper Code 2019 0 of 1 ran · 1 unverified report
11 T5-3B 89.7% – Paper Code 2019 2 of 31 ran · 29 unverified report
12 T5-Base 89.4% – Paper Code 2019 2 of 31 ran · 29 unverified report
13 RE2 89.2 % – Paper Code 2019 1 of 1 ran · 0 unverified report
14 DistilBERT 66M 89.2% – Paper Code 2019 19 of 27 ran · 8 unverified report
15 BigBird 88.6% – Paper Code 2020 10 of 15 ran · 5 unverified report
16 T5-Small 88.0% – Paper Code 2019 2 of 31 ran · 29 unverified report
17 SWEM-concat 83.03% – Paper Code 2018 linked, not harvested report
18 SqueezeBERT 80.3% – Paper Code 2020 0 of 1 ran · 1 unverified report
19 24hBERT 70.7 – Paper Code 2021 linked, not harvested report

All 19 rows shown. 19 link to a paper page on this site; 0 are marked as using additional training data in the archive. No GitHub stars are tracked; "Code" is the first repository the archive lists for the row. The archive carries no row tags, review links or community-submitted rows for this table; none are shown. archive 2025-07-28

Syntology Ran reads "N of M ran · U unverified": of the M code samples Syntology harvested from repositories linked to that row's paper (joined by arXiv id), N executed on a synthesized input and the other U = M−N are unverified (harvested, no recorded run). It counts code from repositories linked to that row's paper, not this result: the row's number was not reproduced and nothing here is a correctness claim. The other cell texts mean no graph line for the row: "linked, not harvested" (the archive links code, Syntology has not harvested it), "no code linked" (no code link in the archive), "not matched" (the row's paper URL matched no paper on this site). 16 rows have a graph line, from 11 distinct papers; 13 rows (9 papers) have at least one sample that ran. Counting each paper once: Syntology ran 140 of 327 samples; 187 unverified. Separately, 73 of those 327 are pointer-only (licence): the site points at that code rather than redistributing it, a licence property recorded for ran and unverified samples alike; each cell's tooltip carries the row's own pointer-only count. Read from the graph 2026-09-24. Per-sample status is on the paper page.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections