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make_prompt

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

make_prompt appears in the code Syntology harvested for 19 papers, as 20 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 14 of the papers; 6 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 make_prompt 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 13 of the 20 distinct code bodies named make_prompt; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
7ran · our draft was wrong
0ran · fixture could not drive it
6ran
7unverified
6fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 21 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

19 papers shown of 19, newest first; 21 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 7 papers added by Syntology. 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
SWARM: A Multilingual Human-Annotated Dataset for Russian Propaganda Detection in Search Engine Results added by Syntology 2026-09 (from id) manueltonneau/swarm/swarm/common.py 0e6a0cd98d63ca44 unverified MIT (permissive)
MemPro: Agentic Memory Systems as Evolvable Programs added by Syntology 2026-06 (from id) wanghai673/MemPro/MemPro/hotpotqa/versions/v_best/working_prompts.py bd08cb277bcf62c1 ran fingerprinted no licence file found · pointer only
Arithmetic in the Wild: Llama uses Base-10 Addition to Reason About Cyclic Concepts added by Syntology 2026-05 (from id) goodfire-ai/arithmetic-wild/src/fourier_probes/fourier_probes_sweep.py b086cc55c7031e8d ran fingerprinted no licence file found · pointer only
Can LLMs Understand the Impact of Trauma? Costs and Benefits of LLMs Coding the Interviews of Firearm Violence Survivors added by Syntology 2026-04 (from id) jhzsquared/AIvsHumanCoding/travail_code/llm_topic.py a1d37b95239f4557 unverified no licence file found · pointer only
WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question Answering added by Syntology 2026-04 (from id) zhuyjan/WikiSeeker/gen_refined_queries.py 93de3112886f0ae2 unverified Apache-2.0 (permissive)
DIETA: A Decoder-only transformer-based model for Italian-English machine TrAnslation added by Syntology 2026-01 (from id) pkasela/DIETA-Machine-Translation/src/translate.py e132f3b8af6f483b unverified no licence file found · pointer only
M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models added by Syntology 2025-09 (from id) Lzx-ZBC/M-BRe/NER/bbn_afet/binary-fgner.py cfbc649efbcdf87a unverified no licence file found · pointer only
M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models added by Syntology 2025-09 (from id) Lzx-ZBC/M-BRe/NER/bbn_afet/multi-fgner.py e9f46da936abe1ae unverified no licence file found · pointer only
M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models added by Syntology 2025-09 (from id) Lzx-ZBC/M-BRe/NER/ontonotes_uf/multi-fgner.py 0d568a7b50137cda unverified no licence file found · pointer only
Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation 7 May 2025 Wakals/GASCOL/threestudio/gpt/PE.py a738297eb782fb24 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
MathFusion: Enhancing Mathematic Problem-solving of LLM through Instruction Fusion 20 Mar 2025 qizhipei/mathfusion/evaluation/dart_math/olympiadbench.py e6eeb93f5a059925 ran Apache-2.0 (permissive)
VLMaterial: Procedural Material Generation with Large Vision-Language Models 27 Jan 2025 mit-gfx/VLMaterial/data_scripts/gen_programs_llm_async.py 3884ccd0ec99644e ran · our draft was wrong fingerprinted MIT (permissive)
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving 18 Jun 2024 hkust-nlp/dart-math/dart_math/olympiadbench.py e6eeb93f5a059925 ran MIT (permissive)
The Music Maestro or The Musically Challenged, A Massive Music Evaluation Benchmark for Large Language Models 22 Jun 2024 zcli-charlie/ziqi-eval/src/five-shot.py e5b9d3d8fb4bd79d ran · our draft was wrong no licence file found · pointer only
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages 14 Jun 2024 nlee0212/BLEnD/model_inference.py debb9aac44c9ee82 ran · our draft was wrong no licence file found · pointer only
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks 17 May 2024 C-anwoy/Cross-Task-ICL/LLAMA-psudo.py 64e4f9b4c5d53a6b ran MIT (permissive)
Auxiliary task demands mask the capabilities of smaller language models 3 Apr 2024 jennhu/lm-task-demands/src/metrics/crt.py 29db9cb7090f2405 ran fingerprinted no licence file found · pointer only
On Large Language Models' Hallucination with Regard to Known Facts 29 Mar 2024 dcdsf321/known_fact_hallucination/get_model_output_example_opt.py c7189a783afded05 ran · our draft was wrong fingerprinted MIT (permissive)
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering 5 Mar 2024 kk13332488/EFSum/hallucination_check/hallucination_checking.py 6cd4220d01988589 ran no licence file found · pointer only
Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis 31 Aug 2023 nlee0212/crehate/llm_inference.py c083b5f35fb91864 ran · our draft was wrong no licence file found · pointer only
What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure 23 Feb 2023 lgalke/easy2deeplearn/lang2prompt.py 246b6d3de7325350 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