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dispatch_openai_requests

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

dispatch_openai_requests appears in the code Syntology harvested for 20 papers, as 18 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 13 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 dispatch_openai_requests 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 18 distinct code bodies named dispatch_openai_requests; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
12ran
6unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 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 1 papers added by Syntology; 4 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
PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs added by Syntology 2025-10 (from id) mlvlab/PRESTO/Induction/automatic_prompt_engineer/llm.py c5362131706391ce unverified MIT (permissive)
Prompt Optimization with Human Feedback 27 May 2024 xqlin98/apohf/Induction/automatic_prompt_engineer/llm.py 764b12da43eb09cf ran MIT (permissive)
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs 10 Apr 2024 petergriffinjin/graph-cot/GPT/code/run_GPT.py 9ff79e55b3deff1e ran Apache-2.0 (permissive)
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records 25 Feb 2024 ritaranx/RAM-EHR/prompt_gpt_def.py 784fab13cc021028 ran MIT (permissive)
How Susceptible are Large Language Models to Ideological Manipulation? 18 Feb 2024 kaichen23/llm_ideo_manipulate/code/utils.py 368234f200d39992 ran MIT (permissive)
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning 15 Feb 2024 mingliiii/reflection_tuning/reflection_code/reflect_instruction.py 5aaf82b7b95d5096 ran no licence file found · pointer only
Knowledge Verification to Nip Hallucination in the Bud 19 Jan 2024 fanqiwan/KCA/eval/gpt_judge/gpt_judge.py dc4bfb543add6e7d ran Apache-2.0 (permissive)
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning 14 Jan 2024 hkust-knowcomp/candle/CANDLE_Distillation/ChatGPT_Conceptualization.py 401d1fa81ca2b1bc ran MIT (permissive)
PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature 13 Nov 2023 jerry3027/polyie/GPT/baseline_gpt_ner.py 315800408c7fb937 ran Apache-2.0 (permissive)
Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration 13 Oct 2023 fanqiwan/Explore-Instruct/eval/chatgpt_score.py a756303ae2edaf62 ran Apache-2.0 (permissive)
Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration 13 Oct 2023 fanqiwan/Explore-Instruct/eval/chatgpt_generate.py 54798b37bb34f36c ran Apache-2.0 (permissive)
LLM4Vis: Explainable Visualization Recommendation using ChatGPT 11 Oct 2023 demoleiwang/LLM4Vis/utils.py b22773c4b6284043 ran no licence file found · pointer only
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers 2 Oct 2023 xqlin98/INSTINCT/COT/automatic_prompt_engineer/llm.py dab4b7dd14eef40b ran MIT (permissive)
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias 28 Jun 2023 yueyu1030/attrprompt/gen_train_data/gpt_gen_attrprompt.py 585a6a66de240121 unverified Apache-2.0 (permissive)
ToolQA: A Dataset for LLM Question Answering with External Tools 23 Jun 2023 night-chen/toolqa/benchmark/ChatGPT/code/query.py 667861b2eb74408c unverified Apache-2.0 (permissive)
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings 19 May 2023 shuaichenchang/prompt-text-to-sql/sql_generation.py 151caf0c62c94dd8 unverified Apache-2.0 (permissive)
ICE-Score: Instructing Large Language Models to Evaluate Code 27 Apr 2023 terryyz/llm-code-eval/experiment_source/conala_gpt_eval.py 581d9a5b5f02e00c unverified MIT (permissive)
arXiv:2025.emnlp-main.965 salmakh1/ACING/Induction/automatic_prompt_engineer/llm.py dab4b7dd14eef40b ran MIT (permissive)
arXiv:2024.naacl-long.131 jerry3027/PolyIE/GPT/baseline_gpt_ner.py 315800408c7fb937 ran Apache-2.0 (permissive)
arXiv:2024.findings-naacl.56 demoleiwang/LLMSRec_Syn/utils.py e3135f260b5e0c36 unverified MIT (permissive)
arXiv:2024.findings-acl.916 ritaranx/ClinGen/src/medication_attr/clingen.py 585a6a66de240121 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".

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