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embedding_lookup

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

embedding_lookup appears in the code Syntology harvested for 9 papers, as 23 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 2 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 embedding_lookup 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 3 of the 23 distinct code bodies named embedding_lookup; 20 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
1ran · fixture could not drive it
1ran
20unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 24 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

9 papers shown of 9, newest first; 24 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; 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
BERT-QE: Contextualized Query Expansion for Document Re-ranking 15 Sep 2020 zh-zheng/BERT-QE/functions.py 04726082484ff643 unverified Apache-2.0 (permissive)
The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures 4 Aug 2020 slSeanWU/jazz_transformer/transformer_xl/modules.py 0a923f63ece46f08 unverified MIT (permissive)
Revisiting Pre-Trained Models for Chinese Natural Language Processing 29 Apr 2020 ymcui/Chinese-PreTrained-XLNet/src/modeling.py 5abf0267f0fc7514 unverified Apache-2.0 (permissive)
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order 24 Apr 2020 huawei-noah/Pretrained-Language-Model/PMLM/interactive_conditional_samples_sincos_acrostic.py fd655b6f6e2908d6 unverified no licence file found · pointer only
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations 26 Sep 2019 brightmart/albert_zh/modeling_google.py 058d2e8f50dd0987 unverified no licence file found · pointer only
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context 9 Jan 2019 benkrause/dynamiceval-transformer/tf/model.py 9109ba9791e44324 ran · fixture could not drive it Apache-2.0 (permissive)
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context 9 Jan 2019 huggingface/xlnet/modeling.py 5abf0267f0fc7514 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 ricardordb/bert/modeling.py 370681b0385cf8f7 ran · our draft was wrong Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 appcoreopc/berty/modeling.py 0d0b605c64dee09c ran Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 TeamLab/bert-gcn-for-paper-citation/modeling.py 194a6562b994a2e1 unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 DeligientSloth/bert-tensorflow/modeling.py fe0428bc0b127744 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 Satan012/BERT/modeling.py a8b0e78302dc02d4 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 h4ste/oscar/modeling.py 599deae552ebf869 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 Nstats/bert_MRC/modeling.py 3733dd581eb74a68 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 pengshuyuan/Bert/modeling.py ddcb3c30efc18240 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 KnightZhang625/BERT_TF/model_official.py bd9da314f50f70c6 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 Nstats/my_bert/modeling.py 64296a59e688d4dd unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 jageshmaharjan/BERT_Service/bert/modeling.py 74c0bfda0f255d96 unverified MIT (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 haidershaour/bert/modeling.py 1c992b32418ba384 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 SCismycat/bert_code_view/modeling.py b37500395497efb4 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 JNUpython/bert/bert_base/modeling.py 136139e549db31e2 unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 MichaelZhouwang/LMlexsub/modeling.py d4c7c4553bc6c06f unverified Apache-2.0 (permissive)
arXiv:2023.acl-long.693 AI4Bharat/IndicBERT/train/modeling.py 29127ff264b62288 unverified MIT (permissive)
arXiv:2021.acl-long.233 ACL2020SpellGCN/SpellGCN/modeling.py a84aba03b71961c1 unverified no licence file found · pointer only

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