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acc_and_f1

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

acc_and_f1 appears in the code Syntology harvested for 39 papers, as 12 distinct code bodies found in 39 places (a place is one code body under one paper). At least one of them ran in 28 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 acc_and_f1 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 12 distinct code bodies named acc_and_f1; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
3ran · fixture could not drive it
2ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 16 of the 39 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

39 papers shown of 39, newest first; 39 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 3 papers added by Syntology; 4 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
Give it Space! Explicit Disentangling of Positional and Semantic Representations in Encoders added by Syntology 2026-05 (from id) LequeuISIR/DSTG-encoder/src/neobert/glue/evaluate_glue.py 454817035cd7e70d ran no licence file found · pointer only
Reproducibility study on how to find Spurious Correlations, Shortcut Learning, Clever Hans or Group-Distributional nonrobustness and how to fix them added by Syntology 2026-04 (from id) kohpangwei/group_DRO/utils_glue.py cac113ca87b9d9f3 ran · fixture could not drive it MIT (permissive)
Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets added by Syntology 2025-10 (from id) Sung-Ho-Jo/hierarchical-dro/utils_glue.py cac113ca87b9d9f3 ran · fixture could not drive it no licence file found · pointer only
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation 24 Jun 2024 yyyyychen/LowMemoryBP/experiments/roberta_exp/metric.py 454817035cd7e70d ran MIT (permissive)
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records 25 Feb 2024 ritaranx/RAM-EHR/model_src/trainer.py 0aa551fedb8479cb ran MIT (permissive)
Sparse is Enough in Fine-tuning Pre-trained Large Language Models 19 Dec 2023 song-wx/SIFT/exp/glue_benchmark/glue_metric.py 454817035cd7e70d ran no licence file found · pointer only
Sparse Low-rank Adaptation of Pre-trained Language Models 20 Nov 2023 tsinghuac3i/sora/glue.py 454817035cd7e70d ran no licence file found · pointer only
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness 9 Oct 2023 estija/cmid/utils_glue.py cac113ca87b9d9f3 ran · fixture could not drive it MIT (permissive)
Bias Amplification Enhances Minority Group Performance 13 Sep 2023 motivationss/bam/utils_glue.py cac113ca87b9d9f3 ran · fixture could not drive it no licence file found · pointer only
$\rm SP^3$: Enhancing Structured Pruning via PCA Projection 31 Aug 2023 hyx1999/sp3/bert/metric/glue.py 454817035cd7e70d ran no licence file found · pointer only
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation 21 Aug 2023 neurocomplab-psu/spikingbert/spiking_bert_task_distill.py cac113ca87b9d9f3 ran · fixture could not drive it no licence file found · pointer only
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias 28 Jun 2023 yueyu1030/attrprompt/train_classifier/plm_model/trainer.py 0aa551fedb8479cb ran Apache-2.0 (permissive)
Simple and Fast Group Robustness by Automatic Feature Reweighting 19 Jun 2023 AndPotap/afr/gdro_fork/utils_glue.py cac113ca87b9d9f3 ran · fixture could not drive it Apache-2.0 (permissive)
Backdooring Neural Code Search 27 May 2023 wssun/BADCODE/src/CodeBERT/utils.py 15b03d85dc1e5392 unverified MIT (permissive)
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning 28 Jan 2023 cambridgeltl/autopeft/glue_metrics.py 454817035cd7e70d ran Apache-2.0 recorded; this copy not marked cleared · pointer only
Neighborhood-Regularized Self-Training for Learning with Few Labels 10 Jan 2023 ritaranx/NeST/trainer.py 97626b44ecf42dfa unverified MIT (permissive)
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators 7 Apr 2022 microsoft/amos/huggingface/utils_for_glue.py cac113ca87b9d9f3 ran · fixture could not drive it MIT (permissive)
What You See is What You Get: Principled Deep Learning via Distributional Generalization 7 Apr 2022 yangarbiter/dp-dg/utils_glue.py cac113ca87b9d9f3 ran · fixture could not drive it MIT (permissive)
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework 7 Nov 2021 yaoxingcheng/TLM/src/metrics.py 7877ae725c2cba07 unverified MIT (permissive)
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models 30 Sep 2021 minwhoo/crossaug/utils_fever.py cac113ca87b9d9f3 ran · fixture could not drive it MIT (permissive)
TOGA: A Neural Method for Test Oracle Generation 2021-09 (from id) microsoft/toga/model/assertions/utils.py 15b03d85dc1e5392 unverified MIT (permissive)
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning 13 Sep 2021 pkunlp-icler/childtuning/metric.py 7877ae725c2cba07 unverified MIT (permissive)
How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements 6 Jun 2021 nadavborenstein/Iggy/model_training/run_classifier_dataset_utils_refactored.py 49022cce7a3fb118 unverified Apache-2.0 (permissive)
Sub-Character Tokenization for Chinese Pretrained Language Models 1 Jun 2021 identical code first harvested elsewhere cac113ca87b9d9f3 ran · fixture could not drive it licence of this copy not recorded
Refining Language Models with Compositional Explanations 18 Mar 2021 ink-usc/expl-refinement/expl-reg/run_model.py 8e2029fe34283e24 ran · fixture could not drive it MIT (permissive)
BinaryBERT: Pushing the Limit of BERT Quantization 31 Dec 2020 identical code first harvested elsewhere cac113ca87b9d9f3 ran · fixture could not drive it licence of this copy not recorded
GeDi: Generative Discriminator Guided Sequence Generation 14 Sep 2020 johnr0/TaleBrush-backend/train_GeDi.py bf3d9775c3335f07 ran · fixture could not drive it BSD-3-Clause (permissive)
Contextualizing Hate Speech Classifiers with Post-hoc Explanation 5 May 2020 owaisCS/TestHateSpeech/run_model.py 8005c9f347f0326a unverified MIT (permissive)
Inducing brain-relevant bias in natural language processing models 29 Oct 2019 danrsc/bert_brain_neurips_2019/run_glue.py cac113ca87b9d9f3 ran · fixture could not drive it no licence file found · pointer only
TabFact: A Large-scale Dataset for Table-based Fact Verification 5 Sep 2019 identical code first harvested elsewhere cac113ca87b9d9f3 ran · fixture could not drive it licence of this copy not recorded
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach 31 Aug 2019 identical code first harvested elsewhere cac113ca87b9d9f3 ran · fixture could not drive it licence of this copy not recorded
Patient Knowledge Distillation for BERT Model Compression 25 Aug 2019 Daniel-H-99/Patient-Knowledge-Distillation/src/nli_data_processing.py cac113ca87b9d9f3 ran · fixture could not drive it MIT recorded; this copy not marked cleared · pointer only
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention 30 May 2019 identical code first harvested elsewhere cac113ca87b9d9f3 ran · fixture could not drive it licence of this copy not recorded
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 Microsoft/AzureML-BERT/finetune/run_classifier_azureml.py cac113ca87b9d9f3 ran · fixture could not drive it MIT (permissive)
LCSTS: A Large Scale Chinese Short Text Summarization Dataset 19 Jun 2015 jessie0624/Automatic-Text-Summarization/1_bertClassifcation.py e9c3dd8c4cd1be40 unverified MIT (permissive)
arXiv:2023.emnlp-main.1005 YichenZW/Coh-MGT-Detection/util.py cac113ca87b9d9f3 ran · fixture could not drive it MIT (permissive)
arXiv:2023.acl-long.264 DAMO-NLP-SG/MVCR/src/data.py 15b03d85dc1e5392 unverified MIT recorded; this copy not marked cleared · pointer only
arXiv:2023.acl-long.182 Yuanhy1997/HyPe/metric.py 7877ae725c2cba07 unverified MIT (permissive)
arXiv:2020.emnlp-main.750 salesforce/factCC/modeling/utils.py 69c708de1ef7ce9c unverified BSD-3-Clause (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".

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