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Question Answering archive 2025-07-28

TruthfulQA Benchmark (Question Answering)

33 rows 29 with code listed 10 metrics 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: ROUGE (higher is better), BLEU (higher is better), Accuracy (higher is better). Not inferred (points only, no best-so-far line): MC1, MC2, % true, % info, % true (GPT-judge), BLEURT, EM. Points are placed at the row's paper date; 30 of 33 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 GPT-4 (RLHF) 0.59 – Paper Code 2023 2 of 5 ran · 3 unverified report
2 Mistral-7B-Instruct-v0.2 + TruthX 0.560.75 – Paper Code 2024 2 of 3 ran · 1 unverified report
3 LLaMa-2-7B-Chat + TruthX 0.540.74 – Paper Code 2024 2 of 3 ran · 1 unverified report
4 LLaMA-2-Chat-13B + Representation Control (Contrast Vector) 0.54 – Paper Code 2023 4 of 10 ran · 6 unverified report
5 LLaMA-2-Chat-7B + Representation Control (Contrast Vector) 0.48 – Paper Code 2023 4 of 10 ran · 6 unverified report
6 Vicuna 7B + Inference Time Intervention (ITI) 0.38988.683.5 – – – not matched report
7 Alpaca 7B + Inference Time Intervention (ITI) 0.31966.697.7 – – – not matched report
8 Gopher 280B (zero-shot, Our Prompt + Choices) 0.295 – Paper Code 2021 linked, not harvested report
9 LLaMA 7B + Inference Time Intervention (ITI) 0.28845.193.8 – – – not matched report
10 GAL 120B 0.26 – Paper Code 2022 0 of 2 ran · 2 unverified report
11 Gopher 7.1 (zero-shot, QA prompts) 0.25 – Paper Code 2021 linked, not harvested report
12 GAL 30B 0.24 – Paper Code 2022 0 of 2 ran · 2 unverified report
13 Gopher 7.1B (zero-shot, Our Prompt + Choices) 0.23 – Paper Code 2021 linked, not harvested report
14 Gopher 1.4 (zero-shot, QA prompts) 0.23 – Paper Code 2021 linked, not harvested report
15 GPT-2 1.5B 0.220.3929.5089.8429.87-0.25-9.41-4.91 – Paper Code 2021 2 of 2 ran · 0 unverified report
16 Gopher 1.4B (zero-shot, Our Prompt + Choices) 0.217 – Paper Code 2021 linked, not harvested report
17 GPT-3 175B 0.210.3320.4497.5520.56-0.56-17.75-17.38 – Paper Code 2021 2 of 2 ran · 0 unverified report
18 OPT 175B 0.21 – Paper Code 2022 0 of 2 ran · 2 unverified report
19 GPT-J 6B 0.200.3626.6889.9627.17-0.31-11.35-7.58 – Paper Code 2021 2 of 2 ran · 0 unverified report
20 UnifiedQA 3B 0.190.3553.8664.5053.240.081.76-0.16 – Paper Code 2021 2 of 2 ran · 0 unverified report
21 GAL 125M 0.19 – Paper Code 2022 0 of 2 ran · 2 unverified report
22 GAL 1.3B 0.19 – Paper Code 2022 0 of 2 ran · 2 unverified report
23 GAL 6.7B 0.19 – Paper Code 2022 0 of 2 ran · 2 unverified report
24 Gopher 280B (zero-shot, QA prompts) 0. 27 – Paper Code 2021 linked, not harvested report
25 LLaMA 65B 5753 – Paper Code 2023 26 of 58 ran · 32 unverified report
26 LLaMA 33B 5248 – Paper Code 2023 26 of 58 ran · 32 unverified report
27 LLaMA 13B 4741 – Paper Code 2023 26 of 58 ran · 32 unverified report
28 LLaMA 7B 3329 – Paper Code 2023 26 of 58 ran · 32 unverified report
29 CoA 67.3 – Paper Code 2024 8 of 10 ran · 2 unverified report
30 ToT 66.6 – Paper Code 2023 7 of 24 ran · 17 unverified report
31 CoA w/o actions 63.3 – Paper Code 2024 8 of 10 ran · 2 unverified report
32 Auto-CoT 42.2 – Paper Code 2022 1 of 3 ran · 2 unverified report
33 Shakti-LLM (2.5B) 68.4 – Paper – 2024 no code linked report

All 33 rows shown. 30 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). 23 rows have a graph line, from 9 distinct papers; 17 rows (8 papers) have at least one sample that ran. Counting each paper once: Syntology ran 52 of 117 samples; 65 unverified. Separately, 8 of those 117 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.

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