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parse_answer

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

parse_answer appears in the code Syntology harvested for 29 papers, as 29 distinct code bodies found in 31 places (a place is one code body under one paper). At least one of them ran in 16 of the papers; 6 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 parse_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 14 of the 29 distinct code bodies named parse_answer; 15 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
10ran
15unverified
6fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 31 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

29 papers shown of 29, newest first; 31 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 10 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
Stress-Testing Efficient Responsible-AI Evaluation: When Compute Savings Change Benchmark Conclusions added by Syntology 2026-08 (from id) VectorInstitute/sustainable-rai-evaluation/src/evaluation_has_a_footprint/parsing.py 85a97cdb29eadeb1 unverified Apache-2.0 (permissive)
Reconstructing the Right Episode: Evaluating Interleaved Conversational Memory Beyond Long Context added by Syntology 2026-08 (from id) LordTARN1SHED/SCALE-QA/tsim_reference/src/eval/metrics.py e22500cf37ccce0d ran fingerprinted licence not identified · pointer only
SERPO: Self-Evolving Rubric Policy Optimization for Open-Ended Test-Time Reinforcement Learning added by Syntology 2026-07 (from id) chiefovoavicii/SERPO/eval/eval_gpqa_diamond.py a1fadfeff49766bf ran fingerprinted Apache-2.0 (permissive)
Do LLMs Game Formalization? Evaluating Faithfulness in Logical Reasoning added by Syntology 2026-04 (from id) koreankiwi99/formalization-gaming/src/utils/answer_parsing.py 5200c424eaeecdfc unverified MIT (permissive)
Reinforcement Fine-Tuning for History-Aware Dense Retriever in RAG added by Syntology 2026-02 (from id) zyc140345/HARR/llama_index_hacked/query_engine.py e406373defafb0db unverified MIT (permissive)
Bias in the Ear of the Listener: Assessing Sensitivity in Audio Language Models Across Linguistic, Demographic, and Positional Variations added by Syntology 2026-02 (from id) ntunlplab/BiasInEar/src/biasinear/models/_parser.py 2f2d25b6d159ef94 unverified Apache-2.0 (permissive)
CausalSpatial: A Benchmark for Object-Centric Causal Spatial Reasoning added by Syntology 2026-01 (from id) CausalSpatial/CausalSpatial/score.py cdaae78194e1ac94 unverified no licence file found · pointer only
SemPA: Improving Sentence Embeddings of Large Language Models through Semantic Preference Alignment added by Syntology 2026-01 (from id) szu-tera/SemPA/drop/utils.py 082dc362726bba49 unverified no licence file found · pointer only
Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks added by Syntology 2025-10 (from id) dengwentao99/BCCS/MMLU/evaluate.py 7548ef78c115707c unverified no licence file found · pointer only
Cache-to-Cache: Direct Semantic Communication Between Large Language Models added by Syntology 2025-10 (from id) thu-nics/C2C/rosetta/utils/evaluate.py 6a9ab19801c22746 unverified Apache-2.0 (permissive)
Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory 16 May 2025 MraDonkey/rethinking_prompting/model.py 8686c0a944293a75 ran · honoured contract MIT (permissive)
MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning 10 Mar 2025 gersteinlab/medagents-benchmark/baselines/MedPrompt/cot.py 22aed9a263e00947 unverified MIT (permissive)
MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning 10 Mar 2025 gersteinlab/medagents-benchmark/baselines/MedPrompt/cot_sc.py cb99011218fa888b unverified MIT (permissive)
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities? 17 Feb 2025 ZhiYuanZeng/test-time-scaling-eval/utils.py 5e704152b8c3311d unverified Apache-2.0 (permissive)
Towards Low-Resource Harmful Meme Detection with LMM Agents 8 Nov 2024 jianzhao-huang/lorehm/utils/utils.py c61e5f3d725c152a unverified MIT (permissive)
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? 25 Oct 2024 ml-research/bongard-in-wonderland/experiments/evaluate/bp_llm_judge.py 4e1b6d4d2b1f83ce unverified no licence file found · pointer only
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? 25 Oct 2024 ml-research/bongard-in-wonderland/experiments/evaluate/bp_llm_judge_human.py e59329369ae20f74 unverified no licence file found · pointer only
Improving Causal Reasoning in Large Language Models: A Survey 22 Oct 2024 chendl02/awesome-llm-causal-reasoning/src/eval_all.py 41f8cc815c276ae9 ran · our draft was wrong no licence file found · pointer only
Self-Pluralising Culture Alignment for Large Language Models 16 Oct 2024 shaoyangxu/culturespa/result_analysis_run_3.py 9411f538a5d9a28b ran fingerprinted no licence file found · pointer only
Symbolic Working Memory Enhances Language Models for Complex Rule Application 24 Aug 2024 siyuanwangw/ruleapplication/Src/evaluation_utils.py 1675e6f35d4f8ba4 ran no licence file found · pointer only
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs 16 Apr 2024 alinlab/HOMER/src/passkey.py 924e90912400c67d ran fingerprinted no licence file found · pointer only
Language Models Represent Beliefs of Self and Others 28 Feb 2024 walter0807/repbelief/evaluate_conditions.py 6b12dca756d315b0 unverified MIT (permissive)
Event-level Knowledge Editing 20 Feb 2024 thu-keg/event-level-knowledge-editing/overall_event_level_metric.py da8cb85a2c5ca2a6 ran fingerprinted licence not identified · pointer only
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback 15 Feb 2024 pnnl/chemreasoner/src/search/state/reasoner_state.py 8ad4e051476a3e90 ran licence not identified · pointer only
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes 22 Dec 2023 casmlab/nphardeval/Close/check/check_hard_GCP.py 78998436efd67437 ran Apache-2.0 (permissive)
PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion 3 Nov 2023 gydpku/pptc/src/content_selection.py acccc24d18f3e8af ran MIT (permissive)
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based Queries 7 Oct 2023 Real-Doris-Mae/Doris-Mae-Dataset/gpt_annotation/annotation_util.py cbaf9acd60451d0f ran licence not identified · pointer only
Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View 3 Oct 2023 zjunlp/machinesom/src/evaluate.py 2ee705a8231381c4 ran · our draft was wrong MIT (permissive)
Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary 2023-06 (from id) xz-x/gennm-ndss-ae/inference/infer_vllm.py 1f5426ac10ec0aad ran · our draft was wrong fingerprinted MIT (permissive)
arXiv:2024.findings-acl.514 gydpku/PPTC/src/content_selection.py acccc24d18f3e8af ran MIT (permissive)
arXiv:2024.acl-long.225 casmlab/NPHardEval/Close/check/check_hard_GCP.py 78998436efd67437 ran 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".

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