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get_symbols_to_strip_from_output
get_symbols_to_strip_from_output appears in the code Syntology harvested for 18 papers, as 2 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 18 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 get_symbols_to_strip_from_output 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 2 distinct code bodies named get_symbols_to_strip_from_output; 0 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:
Licence is a property of each copy, so it is counted per place: 11 of the 18 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
18 papers shown of 18, newest first; 18 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; 1 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.
| Paper | Date | File | Status Syntology | Licence |
|---|---|---|---|---|
| Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation | 23 Jan 2025 | sungnyun/cav2vec/cav2vec/infer_s2s.py bbe1a698e337d4d4 |
ran · our draft was wrong | Apache-2.0 (permissive) |
| Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition | 4 Jul 2024 | sungnyun/avsr-temporal-dynamics/avhubert/infer_s2s.py bbe1a698e337d4d4 |
ran · our draft was wrong | Apache-2.0 (permissive) |
| Self-Modifying State Modeling for Simultaneous Machine Translation | 4 Jun 2024 | EurekaForNLP/SM2/generate.py 88ce019380f10478 |
ran · our draft was wrong | MIT (permissive) |
| Language Generation with Strictly Proper Scoring Rules | 29 May 2024 | shaochenze/scoringruleslm/generate.py 88ce019380f10478 |
ran · our draft was wrong | MIT (permissive) |
| POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation | 11 Jan 2024 | slpanir/POMP/encoder_outs.py 88ce019380f10478 |
ran · our draft was wrong | MIT (permissive) |
| VALHALLA: Visual Hallucination for Machine Translation | 31 May 2022 | jerryyli/valhalla-nmt/generate.py 88ce019380f10478 |
ran · our draft was wrong | MIT (permissive) |
| $\textit{latent}$-GLAT: Glancing at Latent Variables for Parallel Text Generation | 5 Apr 2022 | identical code first harvested elsewhere 88ce019380f10478 |
ran · our draft was wrong | licence of this copy not recorded |
| Robust Self-Supervised Audio-Visual Speech Recognition | 5 Jan 2022 | identical code first harvested elsewhere bbe1a698e337d4d4 |
ran · our draft was wrong | licence of this copy not recorded |
| Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation | 16 Oct 2021 | ghchen18/acl22-sixtp/generate.py 88ce019380f10478 |
ran · our draft was wrong | MIT recorded; this copy not marked cleared · pointer only |
| Unifying Cross-lingual Summarization and Machine Translation with Compression Rate | 15 Oct 2021 | identical code first harvested elsewhere 88ce019380f10478 |
ran · our draft was wrong | licence of this copy not recorded |
| Non-Parametric Online Learning from Human Feedback for Neural Machine Translation | 23 Sep 2021 | identical code first harvested elsewhere 88ce019380f10478 |
ran · our draft was wrong | licence of this copy not recorded |
| Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation | 14 Sep 2021 | zhengxxn/uda-knn/knn_generate.py 88ce019380f10478 |
ran · our draft was wrong | MIT recorded; this copy not marked cleared · pointer only |
| Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation | 12 Jun 2021 | ictnlp/SeerForcingNMT/generate.py 88ce019380f10478 |
ran · our draft was wrong | MIT recorded; this copy not marked cleared · pointer only |
| Adaptive Nearest Neighbor Machine Translation | 27 May 2021 | zhengxxn/adaptive-knn-mt/knn_generate.py 88ce019380f10478 |
ran · our draft was wrong | MIT recorded; this copy not marked cleared · pointer only |
| Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction | 12 May 2021 | wns823/NMT_SSP/generate_text.py 88ce019380f10478 |
ran · our draft was wrong | MIT recorded; this copy not marked cleared · pointer only |
| Nearest Neighbor Machine Translation | 1 Oct 2020 | urvashik/knnmt/fairseq_cli/generate.py 88ce019380f10478 |
ran · our draft was wrong | no licence file found · pointer only |
| Espresso: A Fast End-to-end Neural Speech Recognition Toolkit | 18 Sep 2019 | identical code first harvested elsewhere bbe1a698e337d4d4 |
ran · our draft was wrong | licence of this copy not recorded |
| arXiv:aaai_21303 | duyichao/E2E-ST-TDA/fairseq_cli/generate_tda.py 88ce019380f10478 |
ran · our draft was wrong | MIT (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