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BertEncoder

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

BertEncoder appears in the code Syntology harvested for 20 papers, as 31 distinct code bodies found in 31 places (a place is one code body under one paper). At least one of them ran in 0 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 BertEncoder 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 0 of the 31 distinct code bodies named BertEncoder; 31 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
0ran
31unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 31 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

20 papers shown of 20, newest first; 31 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. 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
TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification 7 Jan 2025 SuYindu/TACLR/src/model/plm_ret.py dde66aaf0b6da6ae unverified Apache-2.0 (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 8654eadc64d1d6d9 unverified 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 3386604c83d5235b unverified BSD-3-Clause (permissive)
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining 20 May 2023 litesslhub/disco/src/model.py 35992cbf0288d2de 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 1ae89ecd5c078970 unverified MIT (permissive)
Advancing Radiograph Representation Learning with Masked Record Modeling 30 Jan 2023 rl4m/mrm-pytorch/model_mrm.py 10e6fbb7187a0639 unverified MIT (permissive)
Selective Query-guided Debiasing for Video Corpus Moment Retrieval 17 Oct 2022 dbstjswo505/SQuiDNet/model/squidnet.py 3c05ca4aa7639bb1 unverified MIT (permissive)
Clues Before Answers: Generation-Enhanced Multiple-Choice QA 30 Apr 2022 nju-websoft/GenMC/model/modeling_genmc.py f2960095c4691870 unverified Apache-2.0 (permissive)
Visual Abductive Reasoning 26 Mar 2022 leonnnop/var/src/model/mainmodel.py 2fbca415e4e6bf08 unverified MIT (permissive)
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction 17 Mar 2022 declare-lab/hyperred/modeling.py e3af493846de2812 unverified no licence file found · pointer only
History Aware Multimodal Transformer for Vision-and-Language Navigation 25 Oct 2021 cshizhe/vln-hamt/finetune_src/models/vilmodel_cmt.py 35a750d77f3a1303 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 28583b97c6efcaf1 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 fcc6106b91ccf5a8 unverified MIT (permissive)
Coarse-to-Fine Pre-training for Named Entity Recognition 16 Oct 2020 strawberryx/CoFEE/model/bert_mrc_ner_cluster.py 165467596b516ee3 unverified no licence file found · pointer only
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering 2 May 2020 StonyBrookNLP/deformer/models/layers/transformer.py fe2a344ff9027718 unverified MIT (permissive)
VD-BERT: A Unified Vision and Dialog Transformer with BERT 28 Apr 2020 salesforce/VD-BERT/pytorch_pretrained_bert/modeling.py 3001206d0b79eb22 unverified MIT (permissive)
VisualBERT: A Simple and Performant Baseline for Vision and Language 9 Aug 2019 YIKUAN8/Transformers-VQA/src/modeling.py 59f36be33253afad unverified no licence file found · pointer only
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks 6 Aug 2019 jiasenlu/vilbert_beta/vilbert/vilbert.py e91ad90558db9297 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 00ea7705507db813 unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 cedrickchee/pytorch-pretrained-BERT/pytorch_pretrained_bert/modeling.py 0be65efc892d53b9 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 b824da45c7d85285 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 064f9026080680e2 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 348c6586dd6fcb82 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 7bbb022fe9e684b4 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 6592c17758687a36 unverified MIT (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 ganeshjawahar/interpret_bert/tpdn/unsuptree_modeler.py e23a8af897f865c5 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 87487781c4dcd1a1 unverified MIT (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 cybertronai/megatron-lm/model/modeling.py 4c39e580d926b422 unverified licence not identified · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 han-shi/SparseBERT/modeling.py 3b780454a1b795ae 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 b47ae2a32bd23a1c 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 7e1548e1a31a85bc 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".

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