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load_embeddings

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

load_embeddings appears in the code Syntology harvested for 33 papers, as 34 distinct code bodies found in 35 places (a place is one code body under one paper). At least one of them ran in 12 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 load_embeddings 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 12 of the 34 distinct code bodies named load_embeddings; 22 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
0ran · violated contract
5ran · our draft was wrong
0ran · fixture could not drive it
4ran
22unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 35 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

33 papers shown of 33, newest first; 35 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, and the graph's for 3 papers added by Syntology; 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.

PaperDateFileStatus SyntologyLicence
Refnd: Preventing Data Leakage in Relational Datasets added by Syntology 2026-07 (from id) JacobCote/refnd_experimental_code/code.py b389563dc1ac25a0 unverified no licence file found · pointer only
A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings added by Syntology 2026-03 (from id) ramiluisto/CuriousSwirl/semsim/embeddings.py e298f4b865e41113 unverified MIT (permissive)
WhAM: Towards A Translative Model of Sperm Whale Vocalization added by Syntology 2025-12 (from id) Project-CETI/wham/wham/generation/eval/calculate_custom_fad.py 4346ebecc7c60973 unverified MIT (permissive)
ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models 20 May 2025 gtzheng/ShortcutProbe/algorithms/shortcut_probe.py 2a04614f7104524c ran · our draft was wrong no licence file found · pointer only
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA 6 Dec 2024 kundajelab/dart-eval/src/dnalm_bench/task_2_5_single/experiments/task_2_transcription_factor_binding/footprint_eval_embeddings.py b05bd25300b743b3 unverified no licence file found · pointer only
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data 11 Nov 2024 dahoas/transformer_manifolds_learning/embeddings.py 39104783d817f46e ran · our draft was wrong no licence file found · pointer only
Private Synthetic Text Generation with Diffusion Models 30 Oct 2024 trusthlt/private-synthetic-text-generation/SeqDiffuSeq/inference_main.py 91ba51cc5a12c5e9 ran · our draft was wrong MIT (permissive)
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval 23 Jul 2024 explainableml/egocvr/egocvr_retrieval.py 0bdbe9b1b43f5498 unverified MIT (permissive)
Audio-Language Datasets of Scenes and Events: A Survey 2024-07 (from id) gljs/audio-datasets/visualization/clap_evaluation_heatmap.py e0512ec2d59ef318 ran no licence file found · pointer only
Audio-Language Datasets of Scenes and Events: A Survey 2024-07 (from id) gljs/audio-datasets/get_diff.py b8e022027ecb13b5 unverified no licence file found · pointer only
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging 24 Jun 2024 sempraety/pruning-via-merging/pipeline.py ad08a638e2808f27 ran · honoured contract no licence file found · pointer only
LLMGeo: Benchmarking Large Language Models on Image Geolocation In-the-wild 30 May 2024 yeyimilk/llmgeo/src/knn_for_embedings.py 73d1a3fb5929f121 unverified no licence file found · pointer only
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model 28 Mar 2024 zhicaiwww/diff-mix/augmentation/ti_mix.py 1826c47b14d934be unverified MIT (permissive)
Differentially Private Synthetic Data via Foundation Model APIs 2: Text 4 Mar 2024 AI-secure/aug-pe/dpsda/logging.py 2404f2b745222315 ran Apache-2.0 (permissive)
Balanced Data Sampling for Language Model Training with Clustering 22 Feb 2024 choosewhatulike/cluster-clip/kmeans.py 0fb325eb5b6a375b ran · our draft was wrong Apache-2.0 (permissive)
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations 11 Jan 2024 fffffarmer/lsar/src/utils_extract.py bbf163a91793e6ca ran no licence file found · pointer only
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning 15 Nov 2023 FuxiaoLiu/VisualNews-Repository/model/utils.py d85bcc4f59fe10b4 ran no licence file found · pointer only
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining 15 Nov 2023 cisnlp/ofa/evaluation/retrieval/evaluate_retrieval_bible.py 0c8227fd1e0b86be ran · honoured contract no licence file found · pointer only
AdANNS: A Framework for Adaptive Semantic Search 30 May 2023 RAIVNLab/AdANNS/adanns/utils.py 11a69b869864eb2e unverified MIT (permissive)
A Closer Look at How Fine-tuning Changes BERT 27 Jun 2021 utahnlp/BERT-fine-tuning-analysis/probing/utils.py bf4b967c85115c8b unverified MIT (permissive)
DirectProbe: Studying Representations without Classifiers 13 Apr 2021 utahnlp/DirectProbe/directprobe/utils.py 5bcb43d32734848e unverified MIT (permissive)
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples 10 Dec 2019 mitvis/embedding-comparator/preprocess_data.py 2be7686b484da4eb ran · honoured contract MIT (permissive)
Interactive Refinement of Cross-Lingual Word Embeddings 8 Nov 2019 forest-snow/clime-ui/prepare_ui.py 109cd48e485aae7a unverified MIT (permissive)
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning 4 Sep 2019 INK-USC/KagNet/models/csqa_dataset.py 9b0d6be3854d5d6d unverified MIT (permissive)
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations 12 Jun 2019 xiangyue9607/BioNEV/src/bionev/OpenNE/classify.py 515a9464367d7d2b unverified MIT (permissive)
LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech 2019-04 (from id) Helsinki-NLP/prosody/prosody_dataset.py c3b2065399bb567e unverified MIT (permissive)
LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech 2019-04 (from id) mamachengcheng/prosody/prosody_dataset.py b6f866c5e91fb701 unverified MIT (permissive)
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them 9 Mar 2019 gonenhila/gender_bias_lipstick/source/save_embeds.py f91aba169ad03e06 unverified Apache-2.0 (permissive)
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents 16 Apr 2018 acohan/long-summarization/util.py ab9862cbeb4502b8 unverified Apache-2.0 (permissive)
Deep Learning with Dynamic Computation Graphs 7 Feb 2017 tensorflow/fold/tensorflow_fold/blocks/examples/sentiment/sentiment.py b1e9ed773635122b ran · our draft was wrong Apache-2.0 (permissive)
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering 23 Nov 2016 totalgood/viddesc/src/viddesc/keras_lstm.py 5933f2701ea63955 unverified MIT (permissive)
Deep Biaffine Attention for Neural Dependency Parsing 6 Nov 2016 chantera/biaffineparser/src/utils/data.py d9f663d6651746c4 unverified Apache-2.0 (permissive)
Sequence-to-Sequence Learning as Beam-Search Optimization 9 Jun 2016 sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning/utils.py 4cc9097b30b644e0 unverified MIT (permissive)
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention 10 Feb 2015 Japanese-Image-Captioning/SAT-for-Japanese/utils.py 4cc9097b30b644e0 unverified MIT (permissive)
arXiv:2025.findings-emnlp.1375 natashamariejohnson330/FicSim/calculate_cosine_similarity.py d692a0f8f21443ff unverified 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".

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