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get_llm

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

get_llm appears in the code Syntology harvested for 16 papers, as 17 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 3 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 get_llm 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 4 of the 17 distinct code bodies named get_llm; 13 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
4ran
13unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 17 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

16 papers shown of 16, newest first; 17 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; 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
EPTS: Elastic Post-Training Sparsity for Efficient Large Language Model Compression added by Syntology 2026-06 (from id) xuke225/EPTS/inference.py 0809140f7f488d09 ran no licence file found · pointer only
EPTS: Elastic Post-Training Sparsity for Efficient Large Language Model Compression added by Syntology 2026-06 (from id) xuke225/EPTS/precomputer_wanda_importance.py b52566618ab18da7 ran no licence file found · pointer only
The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM added by Syntology 2025-10 (from id) log-postech/elsa/lib/utils.py e4eab462181ea68a unverified no licence file found · pointer only
Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis 15 May 2025 tang-bd/fuse-dit/diffusion/models.py c48edbd3d7f74874 unverified Apache-2.0 (permissive)
Retrieval or Global Context Understanding? On Many-Shot In-Context Learning for Long-Context Evaluation 11 Nov 2024 launchnlp/ManyICLBench/call_api.py 607e308b4bc4b406 unverified no licence file found · pointer only
MagicPIG: LSH Sampling for Efficient LLM Generation 21 Oct 2024 infini-ai-lab/magicpig/evaluations/RULER/pred/call_api.py f9d3901bdfa358a9 unverified Apache-2.0 (permissive)
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models 26 Sep 2024 NVlabs/MaskLLM/tool_compute_mask_hf.py 1b16cd00fbac2ce5 ran licence not identified · pointer only
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization 21 Jun 2024 log-postech/rethinking-llm-pruning/opt.py bea08127e3c1ac0f unverified no licence file found · pointer only
StreamBench: Towards Benchmarking Continuous Improvement of Language Agents 13 Jun 2024 stream-bench/stream-bench/stream_bench/agents/utils.py 0c1edfffcab96dfd unverified Apache-2.0 (permissive)
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models 5 Jun 2024 pprp/pruner-zero/main_opt.py 612df986c51330d9 ran MIT (permissive)
NL2Plan: Robust LLM-Driven Planning from Minimal Text Descriptions 7 May 2024 mrlab-ai/NL2Plan/NL2Plan/utils/llm_model.py 1e4b2d02f76da8ec unverified GPL-3.0 (copyleft) · pointer only
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks 14 Feb 2024 jiwonsong-dev/sleb/sleb.py 3d35b1f3a44e3c8d unverified MIT (permissive)
Compressing LLMs: The Truth is Rarely Pure and Never Simple 2 Oct 2023 VITA-Group/llm-kick/in-context_summarization/compressed_model.py 4b6935721148ba31 unverified no licence file found · pointer only
arXiv:2025.findings-acl.394 TheShineyue/HSR/alignment-attribution-hsr/main_low_rank.py 5638e4d0804fdac3 unverified MIT (permissive)
arXiv:2025.findings-acl.193 THUDM/SWE-Dev/swedev/issues/filter.py e734ad0e4e9f2560 unverified MIT (permissive)
arXiv:2025.acl-long.590 ChnQ/SPIN/src/utils.py a03b500b5777ce37 unverified Apache-2.0 (permissive)
arXiv:2021.findings-acl.342 mitre/tmnt/tmnt/data_loading.py 7112b31dc5fe605d unverified Apache-2.0 (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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