Home › Code › normalize_zh_answer

normalize_zh_answer

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

normalize_zh_answer appears in the code Syntology harvested for 32 papers, as 2 distinct code bodies found in 34 places (a place is one code body under one paper). At least one of them ran in 32 of the papers; 2 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 normalize_zh_answer 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 2 of the 2 distinct code bodies named normalize_zh_answer; 0 are 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
1ran
0unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 34 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

32 papers shown of 32, newest first; 34 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; 5 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
CASK: Core-Aware Selective KV Compression for Reasoning Traces added by Syntology 2026-04 (from id) THUDM/LongBench/LongBench/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
Stacked from One: Multi-Scale Self-Injection for Context Window Extension added by Syntology 2026-03 (from id) Clement25/SharedLLM/LongBenchTest/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted no licence file found · pointer only
Mamba Modulation On the Length Generalization of Mamba added by Syntology 2025-09 (from id) gnepul-ace/mamba_modulation/Mamba/LongBench/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
Radar: Fast Long-Context Decoding for Any Transformer 13 Mar 2025 borealisai/radar-decoding/research/longbench/longbench.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted LGPL-3.0 (copyleft) · pointer only
Squeezed Attention: Accelerating Long Context Length LLM Inference 14 Nov 2024 SqueezeAILab/SqueezedAttention/LongBench/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted no licence file found · pointer only
Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning 25 Oct 2024 fyyfu/headkv/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted no licence file found · pointer only
SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction 17 Oct 2024 sail-sg/simlayerkv/LongBench/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted no licence file found · pointer only
TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention 7 Oct 2024 DerrickYLJ/TidalDecode/experiments/LongBench/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models 30 Sep 2024 CSHaitao/LexEval/code/evaluation/process.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction 25 Sep 2024 salesforceairesearch/gemfilter/eval/LongBench/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
A Controlled Study on Long Context Extension and Generalization in LLMs 18 Sep 2024 leooyii/lceg/longbench/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted no licence file found · pointer only
FocusLLM: Precise Understanding of Long Context by Dynamic Condensing 21 Aug 2024 leezythu/focusllm/infbench_src/compute_scores.py f62b4d2a31aa1081 ran fingerprinted MIT (permissive)
Post-Training Sparse Attention with Double Sparsity 11 Aug 2024 andy-yang-1/doublesparse/LongBench/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality 17 Jul 2024 mail-research/sparse-llm-watermarking/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
Human-like Episodic Memory for Infinite Context LLMs 12 Jul 2024 em-llm/EM-LLM-model/benchmark/infinitebench_eval.py f62b4d2a31aa1081 ran fingerprinted MIT (permissive)
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches 1 Jul 2024 henryzhongsc/longctx_bench/eval/longbench_utils/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference 16 Jun 2024 mit-han-lab/Quest/evaluation/LongBench/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models 11 Jun 2024 dvlab-research/q-llm/benchmark/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted no licence file found · pointer only
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models 11 Jun 2024 dvlab-research/q-llm/benchmark/infinitebench_eval.py f62b4d2a31aa1081 ran fingerprinted no licence file found · pointer only
QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead 5 Jun 2024 amirzandieh/qjl/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension 4 Jun 2024 PositionalHidden/PositionalHidden/experiments/run_on_longbench/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
SnapKV: LLM Knows What You are Looking for Before Generation 22 Apr 2024 fasterdecoding/snapkv/experiments/LongBench/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget 7 Apr 2024 hetailang/squeezeattention/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted no licence file found · pointer only
CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models 6 Mar 2024 zexuanqiu/clongeval/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory 7 Feb 2024 thunlp/infllm/benchmark/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory 7 Feb 2024 thunlp/infllm/benchmark/infinitebench_eval.py f62b4d2a31aa1081 ran fingerprinted MIT (permissive)
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache 5 Feb 2024 jy-yuan/kivi/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training 15 Nov 2023 hejunqing/never-lost-in-the-middle/LongBench/src/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
Prompt Cache: Modular Attention Reuse for Low-Latency Inference 7 Nov 2023 yale-sys/prompt-cache/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
arXiv:openreview_trSWJ99WzS DerrickYLJ/LessIsMore/experiments/LongBench/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
arXiv:2025.findings-emnlp.429 zhzihao/QPruningKV/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
arXiv:2025.emnlp-main.443 adlnlp/Gali/longbench/metrics.py 8c5c581f9264c810 ran · our draft was wrong fingerprinted MIT (permissive)
arXiv:2025.acl-long.1500 leezythu/FocusLLM/infbench_src/compute_scores.py f62b4d2a31aa1081 ran fingerprinted MIT (permissive)
arXiv:2024.findings-emnlp.230 zexuanqiu/CLongEval/metrics.py 8c5c581f9264c810 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