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build_relative_position

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

build_relative_position appears in the code Syntology harvested for 17 papers, as 11 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 13 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 build_relative_position 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 4 of the 11 distinct code bodies named build_relative_position; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
7unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 25 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

17 papers shown of 17, newest first; 25 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; 3 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
Propulsion: Steering LLM with Tiny Fine-Tuning 17 Sep 2024 Kowsher/Propulsion/Src/LM/deberta.py 44ee71ec7cb0bca2 ran no licence file found · pointer only
Improving Text-To-Audio Models with Synthetic Captions 18 Jun 2024 declare-lab/tango/mustango/modelling_deberta_v2.py 44ee71ec7cb0bca2 ran no licence file found · pointer only
Mustango: Toward Controllable Text-to-Music Generation 14 Nov 2023 amaai-lab/mustango/modelling_deberta_v2.py 44ee71ec7cb0bca2 ran MIT (permissive)
Can I Trust Your Answer? Visually Grounded Video Question Answering 4 Sep 2023 doc-doc/next-gqa/code/FrozenGQA/model/deberta.py 0464dc8467b456dc ran · honoured contract fingerprinted MIT (permissive)
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models 18 Aug 2023 mlvlab/OVQA/model/deberta.py b1852809457a4b1f unverified no licence file found · pointer only
ADEPT: A DEbiasing PrompT Framework 10 Nov 2022 EmpathYang/ADEPT/model/deberta.py 00b3090f89b698e1 ran · honoured contract MIT (permissive)
ADEPT: A DEbiasing PrompT Framework 10 Nov 2022 EmpathYang/ADEPT/model/debertaV2.py 0df39601dd0d5745 unverified MIT (permissive)
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models 22 Oct 2022 salesforce/mpt/model/deberta.py 00b3090f89b698e1 ran · honoured contract BSD-3-Clause (permissive)
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models 22 Oct 2022 salesforce/mpt/model/debertaV2.py 0df39601dd0d5745 unverified BSD-3-Clause (permissive)
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation 22 Aug 2022 whu-zqh/panda/p-tuning-v2/model/deberta.py 00b3090f89b698e1 ran · honoured contract Apache-2.0 (permissive)
Some Practice for Improving the Search Results of E-commerce 30 Jul 2022 wufanyou/kdd-cup-2022-amazon/utils/deberta/modeling_deberta_v2.py 8e6ba34e4d97fe65 unverified MIT (permissive)
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers 14 Jul 2022 thudm/p-tuning-v2/model/deberta.py 00b3090f89b698e1 ran · honoured contract Apache-2.0 (permissive)
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers 14 Jul 2022 thudm/p-tuning-v2/model/debertaV2.py 0df39601dd0d5745 unverified Apache-2.0 (permissive)
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models 16 Jun 2022 sts-vlcc/sts-vlcc/model/deberta.py 0464dc8467b456dc ran · honoured contract fingerprinted Apache-2.0 (permissive)
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models 16 Jun 2022 antoyang/FrozenBiLM/model/deberta.py b1852809457a4b1f unverified Apache-2.0 (permissive)
Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees 2 Jun 2022 DS3Lab/AC-SGD/modules/deberta_modules.py 0728103d07b148cd unverified MIT (permissive)
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing 18 Nov 2021 microsoft/DeBERTa/DeBERTa/deberta/da_utils.py ac8689e2d4eb4c75 unverified MIT (permissive)
DeBERTa: Decoding-enhanced BERT with Disentangled Attention 5 Jun 2020 huberemanuel/DeBERTa/DeBERTa/deberta/disentangled_attention.py 13eb8311c1ce7813 ran · honoured contract MIT (permissive)
DeBERTa: Decoding-enhanced BERT with Disentangled Attention 5 Jun 2020 huggingface/transformers/src/transformers/models/deberta/modeling_deberta.py 329f69a2123fce0a unverified Apache-2.0 (permissive)
DeBERTa: Decoding-enhanced BERT with Disentangled Attention 5 Jun 2020 Jason-J-Choi/DeBERTa_TxtClassifier/DeBERTa/DeBERTa/deberta/disentangled_attention.py f786b01bf4a40368 unverified no licence file found · pointer only
arXiv:2024.naacl-long.459 AMAAI-Lab/mustango/modelling_deberta_v2.py 44ee71ec7cb0bca2 ran MIT (permissive)
arXiv:2023.findings-emnlp.528 wjn1996/UPET/model/deberta.py 00b3090f89b698e1 ran · honoured contract Apache-2.0 (permissive)
arXiv:2023.findings-emnlp.528 wjn1996/UPET/model/debertaV2.py 0df39601dd0d5745 unverified Apache-2.0 (permissive)
arXiv:2023.acl-long.750 kochsnow/MVP-Tuning/mvp_tuning/model/deberta.py 00b3090f89b698e1 ran · honoured contract Apache-2.0 (permissive)
arXiv:2023.acl-long.750 kochsnow/MVP-Tuning/mvp_tuning/model/debertaV2.py 0df39601dd0d5745 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