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Semantic Textual Similarity archive 2025-07-28

MRPC Benchmark (Semantic Textual Similarity)

45 rows 38 with code listed 2 metrics Dataset page

Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.

Image source: Learning Semantic Textual Similarity from Conversations

The archive carries no text for this table; the description above is the archive's text for the task Semantic Textual Similarity. 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), F1 (higher is better). Points are placed at the row's paper date; 44 of 45 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 MT-DNN-SMART 93.7%91.7 – Paper Code 2019 8 of 8 ran · 0 unverified report
2 ALBERT 93.4% – Paper Code 2019 68 of 126 ran · 58 unverified report
3 RoBERTa (ensemble) 92.3% – Paper Code 2019 37 of 48 ran · 11 unverified report
4 StructBERTRoBERTa ensemble 91.5%93.6% – Paper – 2019 no code linked report
5 FLOATER-large 91.4% – Paper Code 2020 3 of 6 ran · 3 unverified report
6 SMART 91.3% – Paper Code 2019 8 of 8 ran · 0 unverified report
7 RoBERTa-large 355M (MLP quantized vector-wise, fine-tuned) 91.0% – Paper Code 2022 4 of 5 ran · 1 unverified report
8 SpanBERT 90.9% – Paper Code 2019 6 of 15 ran · 9 unverified report
9 XLNet (single model) 90.8% – Paper Code 2019 10 of 24 ran · 14 unverified report
10 AutoBERT-Zero (Large) 90.7% – Paper – 2021 no code linked report
11 MLM+ del-word+ reorder 90.6% – Paper – 2020 no code linked report
12 AutoBERT-Zero (Base) 90.5% – Paper – 2021 no code linked report
13 PSQ (Chen et al., 2020) 90.4 – Paper Code 2020 1 of 4 ran · 3 unverified report
14 DistilBERT 66M 90.2% – Paper Code 2019 20 of 27 ran · 7 unverified report
15 T5-11B 90.0%91.9 – Paper Code 2019 21 of 31 ran · 10 unverified report
16 T5-Large 89.9%92.4 – Paper Code 2019 21 of 31 ran · 10 unverified report
17 Q8BERT (Zafrir et al., 2019) 89.7 – Paper Code 2019 5 of 11 ran · 6 unverified report
18 ELECTRA 89.6% – – – not matched report
19 T5-3B 89.2%92.5 – Paper Code 2019 21 of 31 ran · 10 unverified report
20 MobileBERT 88.8% – Paper Code 2020 linked, not harvested report
21 ERNIE 88.2% – Paper Code 2019 3 of 3 ran · 0 unverified report
22 Q-BERT (Shen et al., 2020) 88.2 – Paper – 2019 no code linked report
23 FNet-Large 88% – Paper Code 2021 2 of 2 ran · 0 unverified report
24 SqueezeBERT 87.8% – Paper Code 2020 1 of 1 ran · 0 unverified report
25 Charformer-Tall 87.5%91.4 – Paper Code 2021 7 of 10 ran · 3 unverified report
26 T5-Base 87.5%90.7 – Paper Code 2019 21 of 31 ran · 10 unverified report
27 24hBERT 87.5% – Paper Code 2021 linked, not harvested report
28 ERNIE 2.0 Large 87.4% – Paper Code 2019 0 of 1 ran · 1 unverified report
29 TinyBERT-6 67M 87.3% – Paper Code 2019 0 of 4 ran · 4 unverified report
30 RealFormer 87.01%90.91% – Paper Code 2020 linked, not harvested report
31 RoBERTa + SubRegWeigh (K-means) 86.82% – Paper Code 2024 linked, not harvested report
32 T5-Small 86.6%89.7 – Paper Code 2019 21 of 31 ran · 10 unverified report
33 TinyBERT-4 14.5M 86.4% – Paper Code 2019 0 of 4 ran · 4 unverified report
34 ERNIE 2.0 Base 86.1% – Paper Code 2019 0 of 1 ran · 1 unverified report
35 TF-KLD 80.4%85.9% – Paper – 2013 no code linked report
36 GenSen 78.6%84.4% – Paper Code 2018 3 of 3 ran · 0 unverified report
37 InferSent 76.2%83.1% – Paper Code 2017 6 of 7 ran · 1 unverified report
38 BigBird 91.5 – Paper Code 2020 10 of 15 ran · 5 unverified report
39 RoBERTa-large 355M + Entailment as Few-shot Learner 91.0 – Paper Code 2021 1 of 3 ran · 2 unverified report
40 BERT-LARGE 89.3 – Paper Code 2018 208 of 659 ran · 451 unverified report
41 Nyströmformer 88.1% – Paper Code 2021 1 of 2 ran · 1 unverified report
42 BERT-Base – Paper Code 2020 1 of 1 ran · 0 unverified report
43 BERT-Large – Paper Code 2020 1 of 1 ran · 0 unverified report
44 SMART-BERT – Paper Code 2019 8 of 8 ran · 0 unverified report
45 SMARTRoBERTa – Paper Code 2019 8 of 8 ran · 0 unverified report

All 45 rows shown. 44 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). 34 rows have a graph line, from 24 distinct papers; 30 rows (22 papers) have at least one sample that ran. Counting each paper once: Syntology ran 426 of 1,016 samples; 590 unverified. Separately, 242 of those 1,016 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 2026-09-25. 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