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top_filtering

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

top_filtering appears in the code Syntology harvested for 13 papers, as 7 distinct code bodies found in 16 places (a place is one code body under one paper). At least one of them ran in 12 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 top_filtering 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 7 distinct code bodies named top_filtering; 2 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
5ran · fixture could not drive it
0ran
2unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 16 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

13 papers shown of 13, newest first; 16 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
HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue 15 Dec 2023 identical code first harvested elsewhere 695eaa24be6f2a1d ran · fixture could not drive it licence of this copy not recorded
Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks 17 Aug 2023 fawazsammani/uni-nlx/test_datasets.py ab2479ed7a576c4a ran · fixture could not drive it no licence file found · pointer only
MLP Fusion: Towards Efficient Fine-tuning of Dense and Mixture-of-Experts Language Models 18 Jul 2023 weitianxin/MLP_Fusion/nlg/evaluate.py 695eaa24be6f2a1d ran · fixture could not drive it no licence file found · pointer only
Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence 4 May 2023 hkust-knowcomp/geia/attacker_evaluation_gpt.py 980364a3d8631cf0 unverified MIT (permissive)
The Adapter-Bot: All-In-One Controllable Conversational Model 28 Aug 2020 HLTCHKUST/adapterbot/interact_adapter.py e14846b26bc1da46 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Controlling Dialogue Generation with Semantic Exemplars 20 Aug 2020 identical code first harvested elsewhere a07f6a302fe3b9eb ran · fixture could not drive it licence of this copy not recorded
The Gutenberg Dialogue Dataset 27 Apr 2020 ricsinaruto/gutenberg-dialog/gpt2_trainings_scripts/interact.py a07f6a302fe3b9eb ran · fixture could not drive it MIT (permissive)
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning 8 Apr 2020 zlinao/VGLM/evaluate.py 695eaa24be6f2a1d ran · fixture could not drive it MIT (permissive)
Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog 1 Feb 2020 ictnlp/DSTC8-AVSD/generate.py 695eaa24be6f2a1d ran · fixture could not drive it MIT (permissive)
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus 27 Jan 2020 identical code first harvested elsewhere 695eaa24be6f2a1d ran · fixture could not drive it licence of this copy not recorded
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation 1 Nov 2019 sseol11/DialoGPT/interact.py 695eaa24be6f2a1d ran · fixture could not drive it MIT recorded; this copy not marked cleared · pointer only
The Curious Case of Neural Text Degeneration 22 Apr 2019 identical code first harvested elsewhere 695eaa24be6f2a1d ran · fixture could not drive it licence of this copy not recorded
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents 23 Jan 2019 dladustn95/enLanguageModel/interact.py a07f6a302fe3b9eb ran · fixture could not drive it no licence file found · pointer only
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents 23 Jan 2019 dladustn95/ENMODEL/bertTran_interact.py 7996c90fe508c5c8 ran · fixture could not drive it no licence file found · pointer only
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents 23 Jan 2019 thu-coai/CDial-GPT/infer.py 695eaa24be6f2a1d ran · fixture could not drive it MIT (permissive)
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents 23 Jan 2019 KhueNguyen312/Persona-Chatbot/Backend/model/interact.py cc247ba2437e3e84 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