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format_subject

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

format_subject appears in the code Syntology harvested for 26 papers, as 4 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 25 of the papers; 3 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 format_subject 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 format_subject; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
2ran
1unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 26 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

26 papers shown of 26, newest first; 26 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. 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
Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs added by Syntology 2026-05 (from id) chenxinrui-tsinghua/LinearPatch/eval/mmlu_eval.py 6ab745408cb8648b ran · our draft was wrong fingerprinted MIT (permissive)
SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining added by Syntology 2026-02 (from id) meituan-longcat/SGLang-FluentLLM/benchmark/mmlu/bench_sglang.py 6ab745408cb8648b ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
MRAG: Benchmarking Retrieval-Augmented Generation for Bio-medicine added by Syntology 2026-01 (from id) hendrycks/test/evaluate.py 6ab745408cb8648b ran · our draft was wrong fingerprinted MIT (permissive)
When Large Multimodal Models Confront Evolving Knowledge:Challenges and Pathways 30 May 2025 pjlab-sys4nlp/llama-moe/smoe/entrypoint/eval/eval_mmlu_moe_0.py 6ab745408cb8648b ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment 28 Oct 2024 AboveParadise/LLMCBench/evaluate_mmlu.py 6ab745408cb8648b ran · our draft was wrong fingerprinted MIT (permissive)
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models 28 Oct 2024 KL4805/ShoppingMMLU/task_wise_eval/utils.py 83fbf53277c007f3 unverified Apache-2.0 (permissive)
LongGenBench: Long-context Generation Benchmark 5 Oct 2024 identical code first harvested elsewhere 6ab745408cb8648b ran · our draft was wrong fingerprinted licence of this copy not recorded
AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference 19 Aug 2024 identical code first harvested elsewhere 6ab745408cb8648b ran · our draft was wrong fingerprinted licence of this copy not recorded
A deeper look at depth pruning of LLMs 23 Jul 2024 shoaibahmed/llm_depth_pruning/evals/mmlu.py 6ab745408cb8648b ran · our draft was wrong fingerprinted no licence file found · pointer only
RouteLLM: Learning to Route LLMs with Preference Data 26 Jun 2024 lm-sys/routellm/routellm/evals/mmlu/generate_responses.py 6ab745408cb8648b ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Data Contamination Can Cross Language Barriers 19 Jun 2024 ShangDataLab/Deep-Contam/inject/run_sft_mmlu.py 793a8b6496415457 ran fingerprinted no licence file found · pointer only
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs 3 Jun 2024 Hsu1023/DuQuant/mmlu_eval.py 6ab745408cb8648b ran · our draft was wrong fingerprinted MIT (permissive)
Advancing LLM Reasoning Generalists with Preference Trees 2 Apr 2024 openbmb/eurus/eval/mmlu/evaluate_mmlu.py 6ab745408cb8648b ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal 2 Mar 2024 DeepLearnXMU/SSR/mmlu_test/evaluate.py 6ab745408cb8648b ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Learning or Self-aligning? Rethinking Instruction Fine-tuning 28 Feb 2024 renmengjie7/self-aligning/eval/my_benchmark_eval.py 6ab745408cb8648b ran · our draft was wrong fingerprinted no licence file found · pointer only
Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning 12 Jan 2024 cardinalere/batch-icl/Batch-ICL-multi_epoch.py 6ab745408cb8648b ran · our draft was wrong fingerprinted no licence file found · pointer only
Sparse is Enough in Fine-tuning Pre-trained Large Language Models 19 Dec 2023 song-wx/SIFT/exp/mmlu/eval_mmlu.py 6ab745408cb8648b ran · our draft was wrong fingerprinted no licence file found · pointer only
SGLang: Efficient Execution of Structured Language Model Programs 12 Dec 2023 tginart/sglang/benchmark/mmlu/bench_sglang.py 6ab745408cb8648b ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Generative Parameter-Efficient Fine-Tuning 1 Dec 2023 savadikarc/gift/language_modeling/math_code_instruct/eval_mmlu.py 793a8b6496415457 ran fingerprinted MIT (permissive)
R-Tuning: Instructing Large Language Models to Say `I Don't Know' 16 Nov 2023 shizhediao/r-tuning/evaluation/MMLU/evaluate.py 6ab745408cb8648b ran · our draft was wrong fingerprinted no licence file found · pointer only
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models 9 Oct 2023 FranxYao/chain-of-thought-hub/MMLU/run_mmlu_llama.py 6ab745408cb8648b ran · our draft was wrong fingerprinted MIT (permissive)
Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations 2 Oct 2023 identical code first harvested elsewhere 6ab745408cb8648b ran · our draft was wrong fingerprinted licence of this copy not recorded
Understanding In-Context Learning from Repetitions 30 Sep 2023 elliottyan/understand-icl-from-repetition/analyze_icl_rep/analyze_mmlu_label_space.py da9a2d07dd8aa31a ran fingerprinted no licence file found · pointer only
Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance 26 May 2023 franxyao/chain-of-thought-hub/MMLU/run_mmlu_llama.py 6ab745408cb8648b ran · our draft was wrong fingerprinted MIT (permissive)
Measuring Massive Multitask Chinese Understanding 25 Apr 2023 identical code first harvested elsewhere 6ab745408cb8648b ran · our draft was wrong fingerprinted licence of this copy not recorded
Measuring Massive Multitask Language Understanding 7 Sep 2020 ollmer/mmlu/evaluate.py 6ab745408cb8648b ran · our draft was wrong fingerprinted 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