{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/fail/papers/15","list_of":"/method/fail","method":"fail","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":15,"pages_in_order":15,"rows_per_page":100,"rows":[1401,1436],"of":1436,"counts":{"archive_papers_tagged":1436,"with_a_code_link":607,"where_syntology_ran_a_sample":181,"not_listed_spam_title":0,"listed":1436,"listed_where_code_ran":181,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":148,"every_run_a_failure_of_syntologys_instrument":33,"listed_with_a_run_with_no_instrument_failure":148,"listed_every_run_a_failure_of_syntologys_instrument":33,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/fail","prev":"/method/fail/papers/14","next":null,"papers":[{"paper":"/paper/resus-warm-up-cold-users-via-meta-learning","slug":"resus-warm-up-cold-users-via-meta-learning","title":"RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction","date":"2022-10-28","arxiv_id":"2210.16080","n_code_links":1,"syntology":null},{"paper":"/paper/solving-math-word-problem-via-cooperative","slug":"solving-math-word-problem-via-cooperative","title":"Solving Math Word Problems via Cooperative Reasoning induced Language Models","date":"2022-10-28","arxiv_id":"2210.16257","n_code_links":1,"syntology":null},{"paper":null,"slug":"toward-reliable-neural-specifications","title":"Towards Reliable Neural Specifications","date":"2022-10-28","arxiv_id":"2210.16114","n_code_links":0,"syntology":null},{"paper":"/paper/deep-generative-models-on-3d-representations","slug":"deep-generative-models-on-3d-representations","title":"Deep Generative Models on 3D Representations: A Survey","date":"2022-10-27","arxiv_id":"2210.15663","n_code_links":1,"syntology":null},{"paper":null,"slug":"deep-learning-object-detection-approaches-to","title":"Deep Learning Object Detection Approaches to Signal Identification","date":"2022-10-27","arxiv_id":"2210.16173","n_code_links":0,"syntology":null},{"paper":null,"slug":"grasping-causality-for-the-explanation-of","title":"Grasping Causality for the Explanation of Criticality for Automated Driving","date":"2022-10-27","arxiv_id":"2210.15375","n_code_links":0,"syntology":null},{"paper":null,"slug":"model-order-selection-with-variational","title":"Model Order Selection with Variational Autoencoding","date":"2022-10-27","arxiv_id":"2210.15407","n_code_links":0,"syntology":null},{"paper":"/paper/procontext-exploring-progressive-context","slug":"procontext-exploring-progressive-context","title":"ProContEXT: Exploring Progressive Context Transformer for Tracking","date":"2022-10-27","arxiv_id":"2210.15511","n_code_links":4,"syntology":null},{"paper":"/paper/rethinking-the-reverse-engineering-of-trojan","slug":"rethinking-the-reverse-engineering-of-trojan","title":"Rethinking the Reverse-engineering of Trojan Triggers","date":"2022-10-27","arxiv_id":"2210.15127","n_code_links":1,"syntology":{"ran":3,"of":5,"n_ran_checked":2,"n_instrument":1,"unverified":2,"pointer_only":1,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["ru-system-software-and-security/featurere"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"torque-controlled-locomotion-of-a-biped-robot","title":"Torque Controlled Locomotion of a Biped Robot with Link Flexibility","date":"2022-10-27","arxiv_id":"2210.15205","n_code_links":0,"syntology":null},{"paper":null,"slug":"trscore-a-novel-gpt-based-readability-scorer","title":"TRScore: A Novel GPT-based Readability Scorer for ASR Segmentation and Punctuation model evaluation and selection","date":"2022-10-27","arxiv_id":"2210.15104","n_code_links":0,"syntology":null},{"paper":null,"slug":"vit-cat-parallel-vision-transformers-with","title":"ViT-CAT: Parallel Vision Transformers with Cross Attention Fusion for Popularity Prediction in MEC Networks","date":"2022-10-27","arxiv_id":"2210.15125","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-late-multi-modal-fusion-model-for-detecting","title":"A Late Multi-Modal Fusion Model for Detecting Hybrid Spam E-mail","date":"2022-10-26","arxiv_id":"2210.14616","n_code_links":0,"syntology":null},{"paper":"/paper/benchmarking-language-models-for-code-syntax","slug":"benchmarking-language-models-for-code-syntax","title":"Benchmarking Language Models for Code Syntax Understanding","date":"2022-10-26","arxiv_id":"2210.14473","n_code_links":1,"syntology":{"ran":3,"of":6,"n_ran_checked":3,"n_instrument":0,"unverified":3,"pointer_only":1,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["dashends/codesyntax"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/compressing-and-debiasing-vision-language-pre","slug":"compressing-and-debiasing-vision-language-pre","title":"Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering","date":"2022-10-26","arxiv_id":"2210.14558","n_code_links":1,"syntology":null},{"paper":"/paper/environment-design-for-inverse-reinforcement","slug":"environment-design-for-inverse-reinforcement","title":"Environment Design for Inverse Reinforcement Learning","date":"2022-10-26","arxiv_id":"2210.14972","n_code_links":1,"syntology":null},{"paper":"/paper/large-language-models-are-not-zero-shot","slug":"large-language-models-are-not-zero-shot","title":"The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs","date":"2022-10-26","arxiv_id":"2210.14986","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["lauraruis/do-pigs-fly"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/pretrained-audio-neural-networks-for-speech","slug":"pretrained-audio-neural-networks-for-speech","title":"Pretrained audio neural networks for Speech emotion recognition in Portuguese","date":"2022-10-26","arxiv_id":"2210.14716","n_code_links":1,"syntology":null},{"paper":"/paper/reconstruction-from-edge-image-combined-with","slug":"reconstruction-from-edge-image-combined-with","title":"Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection","date":"2022-10-26","arxiv_id":"2210.14485","n_code_links":1,"syntology":null},{"paper":null,"slug":"misleading-assertions-unjustified-assumptions","title":"Misleading assertions, unjustified assumptions, and additional limitations of a study by Patone et al., described in the article \"Risk of Myocarditis After Sequential Doses of COVID-19 Vaccine and SARS-CoV-2 Infection by Age and Sex\"","date":"2022-10-25","arxiv_id":"2210.14955","n_code_links":0,"syntology":null},{"paper":"/paper/missing-counter-evidence-renders-nlp-fact","slug":"missing-counter-evidence-renders-nlp-fact","title":"Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation","date":"2022-10-25","arxiv_id":"2210.13865","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["ukplab/emnlp2022-missing-counter-evidence"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"multi-modal-dynamic-graph-network-coupling","title":"Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification","date":"2022-10-25","arxiv_id":"2210.13721","n_code_links":0,"syntology":null},{"paper":"/paper/supr-a-sparse-unified-part-based-human","slug":"supr-a-sparse-unified-part-based-human","title":"SUPR: A Sparse Unified Part-Based Human Representation","date":"2022-10-25","arxiv_id":"2210.13861","n_code_links":1,"syntology":{"ran":5,"of":8,"n_ran_checked":0,"n_instrument":5,"unverified":3,"pointer_only":8,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 5 where Syntology's instrument failed) · 3 unverified","official":{"repos":["ahmedosman/SUPR"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"does-self-rationalization-improve-robustness","title":"Does Self-Rationalization Improve Robustness to Spurious Correlations?","date":"2022-10-24","arxiv_id":"2210.13575","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-better-your-syntax-the-better-your","title":"The Better Your Syntax, the Better Your Semantics? Probing Pretrained Language Models for the English Comparative Correlative","date":"2022-10-24","arxiv_id":"2210.13181","n_code_links":0,"syntology":null},{"paper":"/paper/towards-out-of-distribution-sequential-event","slug":"towards-out-of-distribution-sequential-event","title":"Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment","date":"2022-10-24","arxiv_id":"2210.13005","n_code_links":1,"syntology":{"ran":2,"of":4,"n_ran_checked":0,"n_instrument":2,"unverified":2,"pointer_only":4,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","official":{"repos":["chr26195/caseq"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"a-health-focused-text-classification-tool","title":"A Health Focused Text Classification Tool (HFTCT)","date":"2022-10-23","arxiv_id":"2211.01332","n_code_links":0,"syntology":null},{"paper":null,"slug":"falsehoods-that-ml-researchers-believe-about","title":"Falsehoods that ML researchers believe about OOD detection","date":"2022-10-23","arxiv_id":"2210.12767","n_code_links":0,"syntology":null},{"paper":"/paper/less-emphasis-on-difficult-layer-regions","slug":"less-emphasis-on-difficult-layer-regions","title":"Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction Problems","date":"2022-10-23","arxiv_id":"2210.12685","n_code_links":1,"syntology":null},{"paper":"/paper/boosting-the-cycle-counting-power-of-graph","slug":"boosting-the-cycle-counting-power-of-graph","title":"Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs","date":"2022-10-22","arxiv_id":"2210.13978","n_code_links":2,"syntology":null},{"paper":null,"slug":"counterfactual-generation-under-confounding","title":"Counterfactual Generation Under Confounding","date":"2022-10-22","arxiv_id":"2210.12368","n_code_links":0,"syntology":null},{"paper":null,"slug":"offset-guided-attention-network-for-room","title":"Offset-Guided Attention Network for Room-Level Aware Floor Plan Segmentation","date":"2022-10-22","arxiv_id":"2210.17411","n_code_links":0,"syntology":null},{"paper":"/paper/r-2-f-a-general-retrieval-reading-and-fusion","slug":"r-2-f-a-general-retrieval-reading-and-fusion","title":"R$^2$F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference","date":"2022-10-22","arxiv_id":"2210.12328","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["phoenixsecularbird/r2f"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"self-supervised-graph-based-point-of-interest","title":"Self-supervised Graph-based Point-of-interest Recommendation","date":"2022-10-22","arxiv_id":"2210.12506","n_code_links":0,"syntology":null},{"paper":"/paper/weakly-supervised-temporal-article-grounding","slug":"weakly-supervised-temporal-article-grounding","title":"Weakly-Supervised Temporal Article Grounding","date":"2022-10-22","arxiv_id":"2210.12444","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":1,"phrase":"0 ran · 1 unverified","official":{"repos":["zjuchenlong/wsag"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":"/paper/translist-a-transformer-based-linguistically","slug":"translist-a-transformer-based-linguistically","title":"TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizer","date":"2022-10-21","arxiv_id":"2210.11753","n_code_links":1,"syntology":null}],"record_sha256":"4363ec3d18c98913bc2b79a7fe4946c65aed0095be9537313d2925a5bd423153","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}