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create_score_evaluation_response

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

create_score_evaluation_response appears in the code Syntology harvested for 33 papers, as 3 distinct code bodies found in 33 places (a place is one code body under one paper). At least one of them ran in 27 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 create_score_evaluation_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 2 of the 3 distinct code bodies named create_score_evaluation_response; 1 is 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
2ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 33 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

33 papers shown of 33, newest first; 33 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 12 papers added by Syntology; 2 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
SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay added by Syntology 2026-08 (from id) 125jx/SeqLLM/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran no licence file found · pointer only
Scaling Agentic Capabilities via Grounded Interaction Synthesis added by Syntology 2026-06 (from id) Eric8932/GAIS/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
Lightweight Multimodal LLM-Enabled Cost-Effective Defect Grading of Power Transmission Equipment added by Syntology 2026-05 (from id) hiyouga/LlamaFactory/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
AGPO: Adaptive Group Policy Optimization with Dual Statistical Feedback added by Syntology 2026-05 (from id) wandugu/paper_agpo/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
ToxiTrace: Gradient-Aligned Training for Explainable Chinese Toxicity Detection added by Syntology 2026-04 (from id) hiyouga/LLaMA-Factory/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
HCRE: LLM-based Hierarchical Classification for Cross-Document Relation Extraction with a Prediction-then-Verification Strategy added by Syntology 2026-04 (from id) XMUDeepLIT/HCRE/train/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran no licence file found · pointer only
Precedent-Informed Reasoning: Mitigating Overthinking in Large Reasoning Models via Test-Time Precedent Learning added by Syntology 2026-02 (from id) Fhujinwu/TLM/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
KID: Knowledge-Injected Dual-Head Learning for Knowledge-Grounded Harmful Meme Detection added by Syntology 2026-01 (from id) PotatoDog1669/KID/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization added by Syntology 2025-10 (from id) wangclnlp/MRO/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation added by Syntology 2025-10 (from id) QiMeng-IPRC/QiMeng-SALV/LLaMA-Factory/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran no licence file found · pointer only
Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Models added by Syntology 2025-10 (from id) bytedance/DynamicCoT/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
MeSH: Memory-as-State-Highways for Recursive Transformers added by Syntology 2025-10 (from id) LivingFutureLab/MeSH/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization 17 Jun 2025 dvlab-research/TGDPO/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran no licence file found · pointer only
ClimateChat: Designing Data and Methods for Instruction Tuning LLMs to Answer Climate Change Queries 12 Jun 2025 thu-esis/jiuzhou/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
Pretraining Language Models to Ponder in Continuous Space 27 May 2025 lumia-group/ponderinglm/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
Does Representation Intervention Really Identify Desired Concepts and Elicit Alignment? 24 May 2025 tmlr-group/COCA/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
MPO: Multilingual Safety Alignment via Reward Gap Optimization 22 May 2025 circle-hit/MPO/src/llamafactory/api/chat.py f31c69421a40b0a4 ran Apache-2.0 (permissive)
R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization 13 Mar 2025 Fancy-MLLM/R1-onevision/LLaMA-Factory/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
Implicit Reasoning in Transformers is Reasoning through Shortcuts 10 Mar 2025 TianheL/LM-Implicit-Reasoning/src/LLaMA-Factory-main/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran MIT (permissive)
Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective 20 Feb 2025 LotuSrc/D2PO/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate 29 Jan 2025 TIGER-AI-Lab/CritiqueFineTuning/train/LLaMA-Factory/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran MIT (permissive)
LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models 11 Nov 2024 wutaiqiang/shadow-ft/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model 24 Oct 2024 zwhong714/weak-to-strong-preference-optimization/src/llamafactory/api/chat.py 3f5cda900eb73d2b unverified Apache-2.0 (permissive)
EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning 14 Oct 2024 huangd1999/EffiCoder/LLaMA-Factory/src/llamafactory/api/chat.py f31c69421a40b0a4 ran Apache-2.0 (permissive)
Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning 10 Oct 2024 shuhewang1998/packing-analysis/src/llmtuner/api/chat.py 3f5cda900eb73d2b unverified no licence file found · pointer only
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks 20 Sep 2024 xnhyacinth/nesycd/src/llamafactory/api/chat.py 3f5cda900eb73d2b unverified no licence file found · pointer only
$\textit{SKIntern}$: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models 20 Sep 2024 xnhyacinth/skintern/src/llamafactory/api/chat.py 3f5cda900eb73d2b unverified Apache-2.0 (permissive)
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization 10 Jul 2024 huangowen/rolora/src/llamafactory/api/chat.py 3f5cda900eb73d2b unverified no licence file found · pointer only
Time Sensitive Knowledge Editing through Efficient Finetuning 6 Jun 2024 hiyouga/llama-factory/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
Large Language Models for Cyber Security: A Systematic Literature Review 8 May 2024 hiyouga/llama-efficient-tuning/src/llamafactory/api/chat.py dbea5358be6b5ad0 ran Apache-2.0 (permissive)
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models 20 Mar 2024 BachOzean/TadE/src/llamafactory/api/chat.py f31c69421a40b0a4 ran Apache-2.0 (permissive)
arXiv:2025.findings-acl.462 Javkonline/AMoPO/src/llamafactory/api/chat.py 3f5cda900eb73d2b unverified Apache-2.0 (permissive)
arXiv:2025.emnlp-main.900 Ayon128/BANMIME/Misogyny_Code/Fine-Tuning/src/llamafactory/api/chat.py dbea5358be6b5ad0 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