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post_process_gpt3_response

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

post_process_gpt3_response appears in the code Syntology harvested for 12 papers, as 4 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 11 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 post_process_gpt3_response 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 3 of the 4 distinct code bodies named post_process_gpt3_response; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
2ran
1unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 12 places is 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

12 papers shown of 12, newest first; 12 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 2 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
Modelpedia: A Catalog of Model Findings for the Meta-Science of AI added by Syntology 2026-09 (from id) tatsu-lab/stanford_alpaca/generate_instruction.py a5e4ad4e11cf2143 ran · honoured contract Apache-2.0 (permissive)
AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering added by Syntology 2026-05 (from id) tatsu-lab/stanford_alpaca/generate_instruction.py a5e4ad4e11cf2143 ran · honoured contract Apache-2.0 (permissive)
SelfCodeAlign: Self-Alignment for Code Generation 31 Oct 2024 sahil280114/codealpaca/generate_instruction.py a5e4ad4e11cf2143 ran · honoured contract Apache-2.0 (permissive)
Exploring Backdoor Vulnerabilities of Chat Models 3 Apr 2024 hychaochao/chat-models-backdoor-attacking/Instructional_Model_Backdoor/generate_instruction.py a5e4ad4e11cf2143 ran · honoured contract Apache-2.0 (permissive)
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement 22 Mar 2024 squeezeailab/llm2llm/GSM8K/generate_data.py 119edfc3533dd7fc ran MIT (permissive)
How Susceptible are Large Language Models to Ideological Manipulation? 18 Feb 2024 kaichen23/llm_ideo_manipulate/code/generate_instruction.py 66353411cccd30ba ran fingerprinted MIT (permissive)
Sparse is Enough in Fine-tuning Pre-trained Large Language Models 19 Dec 2023 song-wx/SIFT/exp/instruction_finetuning/generate_instruction.py a5e4ad4e11cf2143 ran · honoured contract no licence file found · pointer only
Extrapolating Large Language Models to Non-English by Aligning Languages 9 Aug 2023 NJUNLP/x-LLM/generate_instruction.py a5e4ad4e11cf2143 ran · honoured contract Apache-2.0 (permissive)
Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners 24 May 2023 xiaojuantang/icsr/finetune/generate_instruction.py a5e4ad4e11cf2143 ran · honoured contract Apache-2.0 (permissive)
Lion: Adversarial Distillation of Proprietary Large Language Models 22 May 2023 yjiangcm/lion/src/generate_easy_instruction.py a2aee0157546c3ef unverified MIT (permissive)
LLaMA: Open and Efficient Foundation Language Models 27 Feb 2023 beomi/koalpaca/generate_instruction.py a5e4ad4e11cf2143 ran · honoured contract Apache-2.0 (permissive)
arXiv:2024.findings-acl.388 SqueezeAILab/LLM2LLM/GSM8K/generate_data.py 119edfc3533dd7fc ran 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