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generate_text

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

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

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
5ran
14unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 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

20 papers shown of 20, 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 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
Substrate Asymmetry in User-Side Memory: A Diagnostic Framework added by Syntology 2026-06 (from id) EpistemicaLab/substrate-asymmetry-memory/bench/experiments/31_runner.py df6e69ae71000442 ran Apache-2.0 (permissive)
SOMA: Efficient Multi-turn LLM Serving via Small Language Model added by Syntology 2026-05 (from id) LabRAI/SOMA/soma/pipeline.py 375a736e73709078 unverified MIT (permissive)
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 bf15ee34211787ff 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 0a20307e453bc955 unverified no licence file found · pointer only
Self-Training Elicits Concise Reasoning in Large Language Models 27 Feb 2025 tergelmunkhbat/concise-reasoning/src/training_utils.py 84abbf776f80eaf8 unverified MIT (permissive)
MuMu-LLaMA: Multi-modal Music Understanding and Generation via Large Language Models 2024-12 (from id) shansongliu/M2UGen/DataSet/MUEdit/mistral.py f016081a436c0aff unverified MIT (permissive)
Towards Interpreting Language Models: A Case Study in Multi-Hop Reasoning 6 Nov 2024 msakarvadia/attentionlens/demos/measure_toxicity.py c64dd03c9f019df6 unverified MIT (permissive)
VoiceBench: Benchmarking LLM-Based Voice Assistants 22 Oct 2024 matthewcym/voicebench/src/models/diva.py 124d5d71fae7e5a3 unverified Apache-2.0 (permissive)
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs 24 Aug 2024 deep-diver/llamaduo/src/gen/async_generate_data_gemini.py a1849d123c6ba549 ran Apache-2.0 (permissive)
Semantically Diverse Language Generation for Uncertainty Estimation in Language Models 6 Jun 2024 ml-jku/SDLG/sdlg.py a701b90b916f5466 unverified BSD-3-Clause-Clear · pointer only
HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent 2024-06 (from id) jie-jw-wu/human-eval-comm/generate_response.py 7f8144a905f5b101 ran no licence file found · pointer only
Sampling-based Pseudo-Likelihood for Membership Inference Attacks 17 Apr 2024 nlp-titech/samia/src/sampling.py 0ff086b8ebd54874 ran MIT (permissive)
On-the-fly Definition Augmentation of LLMs for Biomedical NER 29 Mar 2024 allenai/beacon/calls/openai_call.py 85b409d4935c8b83 ran Apache-2.0 (permissive)
Common 7B Language Models Already Possess Strong Math Capabilities 7 Mar 2024 jerrywu-code/susgen/src/template.py aa963276f597a210 unverified MIT (permissive)
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? 19 Feb 2024 nbalepur/mcqa-artifacts/model/run_hf.py 20ecd73683b53d64 unverified no licence file found · pointer only
Limits of Transformer Language Models on Learning to Compose Algorithms 8 Feb 2024 ibm/limitations-lm-algorithmic-compositional-learning/prompting_experiment_utils/prompt_llm.py 95228c89a9638a61 unverified Apache-2.0 (permissive)
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction 24 Oct 2023 yzjiao/on-demand-ie/data_generation/generate_text.py a6f428fed9e294b0 unverified no licence file found · pointer only
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain 21 Oct 2023 marcusm117/identitychain/examples/run_identity_chain_huggingface.py 7eab47e294a8f31c ran · our draft was wrong Apache-2.0 (permissive)
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models 28 Sep 2023 zihao-ai/vdc/vdc/cleanser.py b3a3983654d23cc7 ran · our draft was wrong MIT (permissive)
Towards Universal Sequence Representation Learning for Recommender Systems 13 Jun 2022 rucaibox/unisrec/dataset/preprocessing/process_or.py 3b6af7fa6012d8c4 unverified MIT (permissive)
arXiv:2025.naacl-long.65 Zehong-Wang/TANS/TANS/preprocess/airport_graphs.py 2e37bdf0888f6f82 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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