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compute_metric

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

compute_metric appears in the code Syntology harvested for 18 papers, as 18 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 8 of the papers; 0 of the code bodies carry 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 compute_metric 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 8 of the 18 distinct code bodies named compute_metric; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
1ran · fixture could not drive it
3ran
10unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 20 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

18 papers shown of 18, newest first; 20 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; 1 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
Improving Information Extraction with Learned Queries added by Syntology 2026-08 (from id) ZhaoyueSun/PHEE/evaluate/phee_metric.py 65ffc8abe1a9b4eb unverified MIT (permissive)
MiSiSUn: Minimum Simplex Semisupervised Unmixing added by Syntology 2026-03 (from id) BehnoodRasti/HySUPP/src/utils/metrics.py 9d143ca2c58f98ec unverified MIT (permissive)
Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis 2 Jun 2025 12kimih/HiCUPID/src/bleu_rouge.py 0bbec0695520ec07 unverified Apache-2.0 (permissive)
AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference 19 Aug 2024 pku-sec-lab/adapmoe/benchmarks/chain-of-thought-hub/run_mmlu.py f01688d0434b6835 ran · honoured contract no licence file found · pointer only
PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model 21 Mar 2024 zamling/PSALM/psalm/eval/eval_davis.py 6cf5142ee7139417 unverified Apache-2.0 (permissive)
Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning 12 Jan 2024 cardinalere/batch-icl/Batch-ICL-multi_epoch.py f01688d0434b6835 ran · honoured contract no licence file found · pointer only
Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning 12 Jan 2024 cardinalere/batch-icl/BatchICL_generation.py 6ccd8b3dbcb91ca8 ran no licence file found · pointer only
Transferable Candidate Proposal with Bounded Uncertainty 7 Dec 2023 gokyeongryeol/tbu/active/models/train_utils.py 92b61b67ddcc3a83 ran · our draft was wrong MIT (permissive)
An Analysis and Mitigation of the Reversal Curse 13 Nov 2023 trestad/mitigating-reversal-curse/generate.py 33553b56020f3138 ran no licence file found · pointer only
Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games 2 Oct 2023 apple/ml-entity-deduction-arena/eval_result.py a35529b0a2a29c54 ran licence not identified · pointer only
Cited Text Spans for Citation Text Generation 12 Sep 2023 jacklxc/cts4citationtextgeneration/code/CTS_LED_no_trainer.py 9e24746ae8703804 ran · our draft was wrong no licence file found · pointer only
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference 6 Jun 2023 julialinhart/lc2st/lc2st/lc2st.py 7eb3d41af29f7521 ran · fixture could not drive it no licence file found · pointer only
Finding Competence Regions in Domain Generalization 17 Mar 2023 xarwinm/competence_estimation/competence_estimation/metrics.py 51bfa38a289b0fb8 unverified MIT (permissive)
Online Continual Learning for Embedded Devices 21 Mar 2022 tyler-hayes/embedded-cl/analyze_results_openloris.py b77c1e7de919038c unverified MIT (permissive)
Unsupervised Out-of-Domain Detection via Pre-trained Transformers 2 Jun 2021 rivercold/BERT-unsupervised-OOD/calculate_log.py 160824dee7076cd5 unverified MIT (permissive)
Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices 28 Dec 2019 VectorInstitute/gram-ood-detection/calculate_log.py 160824dee7076cd5 unverified no licence file found · pointer only
Improved Precision and Recall Metric for Assessing Generative Models 15 Apr 2019 AlexVerine/PrecisionRecallGan/precision_recall_kyn_utils.py 88c7b603b76960ad ran · our draft was wrong no licence file found · pointer only
Improved Precision and Recall Metric for Assessing Generative Models 15 Apr 2019 youngjung/improved-precision-and-recall-metric-pytorch/improved_precision_recall.py 9f1f8858820c945f unverified MIT (permissive)
Densely Connected Convolutional Networks 25 Aug 2016 GeoTrouvetout/Vehicle_ReID/vehicle_reid/ranking.py 0f3873bb6bde781e unverified MIT (permissive)
arXiv:2023.findings-emnlp.698 tommytyc/RSVP/util.py 8440749e93818bb4 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