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evaluate_accuracy

Syntologyentry name in harvested coderead from the graph 2026-09-24

evaluate_accuracy appears in the code Syntology harvested for 17 papers, as 16 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 5 of the papers; 1 of the code bodies carries a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named evaluate_accuracy do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 5 of the 16 distinct code bodies named evaluate_accuracy; 11 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
2ran
11unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 18 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

17 papers shown of 17, newest first; 18 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 2 papers added by Syntology; 2 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Adaptive Memory and Reflection Multi-Agent System for Medical Question Answering added by Syntology 2026-08 (from id) mm-air/AMR-Agent/evaluate.py 6cb12c37db26f8c7 ran fingerprinted MIT (permissive)
CORRECT: Condensed Error Recognition via Knowledge Transfer in Multi-agent Systems added by Syntology 2025-09 (from id) UIUC-MLSys/CORRECT/src/evaluate.py dae296eb6fedbbee unverified licence not identified · pointer only
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems 30 Apr 2025 mingyin1/agents_failure_attribution/Automated_FA/evaluate.py cc9af32b8ab59e05 unverified MIT (permissive)
CODES: Benchmarking Coupled ODE Surrogates 28 Oct 2024 robin-janssen/codes-benchmark/codes/benchmark/bench_fcts.py 51fd95db84bf43ef unverified GPL-3.0 (copyleft) · pointer only
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks 17 Jul 2024 layer6ai-labs/ssl-robustness/evaluators/evaluate.py 558456af4ed51313 ran MIT (permissive)
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems 24 May 2023 zjukg/ncgnn/EqMotion/main_nbody_reasoning.py 016b1e334d358460 unverified MIT (permissive)
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems 24 May 2023 zjukg/NCGNN/EqMotion/main_nbody.py a4b4fa49d6e48181 unverified MIT (permissive)
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization 19 Dec 2022 ucsb-nlp-chang/textgrad/robust_training.py 4fc953cf0a1a3b99 ran · honoured contract no licence file found · pointer only
Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models 4 May 2022 rucaibox/safe/qagnn.py 2839d26e6f9412c8 unverified MIT (permissive)
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes 28 Apr 2022 brain-inspired-cognitive-engine/conversion_burst/utils.py d4a07d38b7cf02dc unverified MIT (permissive)
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation 24 Feb 2022 takhemlata/ssl_anti-spoofing/main_SSL_LA.py abdb16a09c4042f4 ran · honoured contract MIT (permissive)
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering 6 Dec 2021 yueqing-sun/jointlk/jointlk.py 086fa0038784db8c unverified MIT (permissive)
Secure Distributed Training at Scale 21 Jun 2021 yandex-research/btard/resnet/training_utils.py a904de8f2aa42d6f unverified Apache-2.0 (permissive)
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering 13 Apr 2021 michiyasunaga/qagnn/qagnn.py 086fa0038784db8c unverified MIT (permissive)
Learning Contextualized Knowledge Structures for Commonsense Reasoning 24 Oct 2020 INK-USC/HGN/hgn.py 20ae9bc0ed8af203 unverified no licence file found · pointer only
Progressive Neural Architecture Search 2 Dec 2017 DataXujing/PNASNet_pytorch/model.py eeb1297e063ecfdf ran · honoured contract no licence file found · pointer only
arXiv:aaai_26578 mlvlab/QAT/main_qat.py 3998b926dccc833e unverified MIT (permissive)
arXiv:2022.findings-naacl.131 RUCAIBox/SAFE/qagnn.py 2839d26e6f9412c8 unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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