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BertLayer

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

BertLayer appears in the code Syntology harvested for 23 papers, as 35 distinct code bodies found in 35 places (a place is one code body under one paper). At least one of them ran in 2 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 BertLayer 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 2 of the 35 distinct code bodies named BertLayer; 33 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
0ran · fixture could not drive it
2ran
33unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 35 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

23 papers shown of 23, newest first; 35 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 1 papers added by Syntology. 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
Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning added by Syntology 2025-11 (from id) hongkaifeng/Odin/src/OpenLP/models/Graphformer ME.py ffaf6bb5b06be8ca unverified no licence file found · pointer only
General Scene Adaptation for Vision-and-Language Navigation 29 Jan 2025 honghd16/gsa-vln/GR-DUET/map_nav_src/models/vilmodel.py 721f4cb09203dd0a unverified MIT (permissive)
Grounded Entity-Landmark Adaptive Pre-training for Vision-and-Language Navigation 24 Aug 2023 csir1996/vln-gela/ada_pretrain_src/model/pretrain_cmt.py cae60f381a5d3991 ran no licence file found · pointer only
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome 26 Jun 2023 frederikkemarin/bend/bend/utils/embedders.py f82f6d515d78b9fa unverified BSD-3-Clause (permissive)
Patton: Language Model Pretraining on Text-Rich Networks 20 May 2023 PeterGriffinJin/Patton/src/OpenLP/models/Graphformer.py b863c85055685d3b unverified Apache-2.0 (permissive)
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining 20 May 2023 litesslhub/disco/src/model.py dc2490b06a84b6a0 unverified no licence file found · pointer only
A Dual Semantic-Aware Recurrent Global-Adaptive Network For Vision-and-Language Navigation 5 May 2023 CrystalSixone/DSRG/finetune_src/models/vilmodel.py c213722ebbdfaf05 unverified MIT (permissive)
Learning Situation Hyper-Graphs for Video Question Answering 18 Apr 2023 aurooj/SHG-VQA/AGQA/src/lxrt/modeling_capsbert.py 35c89d3fc6a77009 unverified no licence file found · pointer only
KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation 28 Mar 2023 XiangyangLi20/KERM/knowledge_nav_src/models/vilmodel.py 4f346f98c56af683 unverified MIT (permissive)
Lana: A Language-Capable Navigator for Instruction Following and Generation 15 Mar 2023 wxh1996/lana-vln/finetune_src/models/vilmodel_cmt_lana.py 71b64ba0c2e09916 unverified MIT (permissive)
Selective Query-guided Debiasing for Video Corpus Moment Retrieval 17 Oct 2022 dbstjswo505/SQuiDNet/model/squidnet.py 120803f3f1246391 unverified MIT (permissive)
Clues Before Answers: Generation-Enhanced Multiple-Choice QA 30 Apr 2022 nju-websoft/GenMC/model/modeling_genmc.py a9386d3eabfcc480 unverified Apache-2.0 (permissive)
Visual Abductive Reasoning 26 Mar 2022 leonnnop/var/src/model/mainmodel.py 5a8e31314ed696b6 unverified MIT (permissive)
History Aware Multimodal Transformer for Vision-and-Language Navigation 25 Oct 2021 cshizhe/vln-hamt/finetune_src/models/vilmodel_cmt.py 8c82bbeb6226b351 unverified MIT (permissive)
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning 26 Jun 2021 hwanheelee1993/UMIC/model/ce.py 5216511bc6458b3b unverified MIT (permissive)
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks 8 May 2021 maximek3/e-ViL/src/modeling.py 5646c8ef704d0a44 unverified no licence file found · pointer only
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables 24 Oct 2020 JamesHujy/ELV/ELV_re/s2s_ft/modeling_decoding.py 06470b60e5848309 unverified MIT (permissive)
Coarse-to-Fine Pre-training for Named Entity Recognition 16 Oct 2020 strawberryx/CoFEE/model/bert_mrc_ner_cluster.py c3b85acd815d11b5 unverified no licence file found · pointer only
VD-BERT: A Unified Vision and Dialog Transformer with BERT 28 Apr 2020 salesforce/VD-BERT/pytorch_pretrained_bert/modeling.py 9f308c4ca55ba13a unverified MIT (permissive)
LXMERT: Learning Cross-Modality Encoder Representations from Transformers 20 Aug 2019 ghazaleh-mahmoodi/lxmert_compression/lxmert/src/lxrt/modeling.py 2f7d2c26e185cb3f unverified MIT (permissive)
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks 6 Aug 2019 jiasenlu/vilbert_beta/vilbert/vilbert.py c29c18ac8dff6a26 unverified no licence file found · pointer only
RoBERTa: A Robustly Optimized BERT Pretraining Approach 26 Jul 2019 GeorgeLuImmortal/Hierarchical-BERT-Model-with-Limited-Labelled-Data/run_hbm.py f2ab856479b90e8a unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 cybertronai/megatron-lm/model/modeling.py b667cf8a44831efb ran fingerprinted licence not identified · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 cedrickchee/pytorch-pretrained-BERT/pytorch_pretrained_bert/modeling.py 89e0fd61eb3504eb unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 derronxu/sparsebert/SparseBERT/main_functions/transformer/modeling.py 39b12df168592d79 unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 lonePatient/ERNIE-text-classification-pytorch/pyernie/model/ernie/modeling.py 4ea9890699c11b28 unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 itsShnik/adaptively-finetuning-transformers/lxmert/src/lxrt/modeling.py f2559f88f4286ee8 unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 wyf-python/Bert-Pytorch-TextClassification/pytorch_pretrained/modeling.py 85b6ae362d64e02e unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 EuphoriaYan/bert_component/layers/bert_basic_model.py b4ad6a57351fa7ba unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 Impavidity/relogic/relogic/logickit/inference/modeling.py aca0ed0d9602bae6 unverified MIT (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 ganeshjawahar/interpret_bert/tpdn/unsuptree_modeler.py 3ab022fca9e1c155 unverified GPL-3.0 (copyleft) · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 yifding/hetseq/hetseq/bert_modeling.py bae337e27b7faff5 unverified MIT (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 han-shi/SparseBERT/modeling.py 1d5bc576a32a71e5 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 charles9n/bert-sklearn/bert_sklearn/model/pytorch_pretrained/modeling.py 3a44fb25423d4564 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 maknotavailable/pytorch-pretrained-bert/pytorch_pretrained_bert/modeling.py 6f23494271c18741 unverified Apache-2.0 (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