{"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":"/task/text-detection/papers/2","list_of":"/task/text-detection","task":"Text Detection","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":2,"pages_in_order":6,"rows_per_page":100,"rows":[101,200],"of":595,"counts":{"archive_papers_tagged":595,"with_a_code_link":253,"where_syntology_ran_a_sample":56,"not_listed_spam_title":0,"listed":595,"listed_where_code_ran":56,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":47,"every_run_a_failure_of_syntologys_instrument":9,"listed_with_a_run_with_no_instrument_failure":47,"listed_every_run_a_failure_of_syntologys_instrument":9,"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":"/task/text-detection","prev":"/task/text-detection","next":"/task/text-detection/papers/3","papers":[{"url":"/paper/counter-turing-test-ct-2-investigating-ai","slug":"counter-turing-test-ct-2-investigating-ai","title":"Counter Turing Test ($CT^2$): Investigating AI-Generated Text Detection for Hindi -- Ranking LLMs based on Hindi AI Detectability Index ($ADI_{hi}$)","date":"2024-07-22","arxiv_id":"2407.15694","repositories_listed":1,"syntology":null},{"url":"/paper/visual-text-generation-in-the-wild","slug":"visual-text-generation-in-the-wild","title":"Visual Text Generation in the Wild","date":"2024-07-19","arxiv_id":"2407.14138","repositories_listed":1,"syntology":null},{"url":"/paper/detecting-subtle-differences-between-human","slug":"detecting-subtle-differences-between-human","title":"Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood","date":"2024-06-28","arxiv_id":"2406.19874","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_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","sample_list":"/paper/detecting-subtle-differences-between-human#ran","syntology_url":"https://syntology.ai/paper/2406.19874","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.19874"}},"official":{"repos":["clcs-sustech/fouriergpt"],"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"]}}},{"url":"/paper/artistic-style-text-detector-and-a-new-movie","slug":"artistic-style-text-detector-and-a-new-movie","title":"Artistic-style text detector and a new Movie-Poster dataset","date":"2024-06-24","arxiv_id":"2406.16307","repositories_listed":1,"syntology":null},{"url":"/paper/seghist-a-general-segmentation-based","slug":"seghist-a-general-segmentation-based","title":"SegHist: A General Segmentation-based Framework for Chinese Historical Document Text Line Detection","date":"2024-06-17","arxiv_id":"2406.15485","repositories_listed":1,"syntology":null},{"url":"/paper/improving-logits-based-detector-without","slug":"improving-logits-based-detector-without","title":"DALD: Improving Logits-based Detector without Logits from Black-box LLMs","date":"2024-06-07","arxiv_id":"2406.05232","repositories_listed":1,"syntology":null},{"url":"/paper/transformer-and-hybrid-deep-learning-based","slug":"transformer-and-hybrid-deep-learning-based","title":"Transformer and Hybrid Deep Learning Based Models for Machine-Generated Text Detection","date":"2024-05-28","arxiv_id":"2405.17964","repositories_listed":1,"syntology":null},{"url":"/paper/dataset-and-benchmark-for-urdu-natural-scenes","slug":"dataset-and-benchmark-for-urdu-natural-scenes","title":"Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question Answering","date":"2024-05-21","arxiv_id":"2405.12533","repositories_listed":1,"syntology":null},{"url":"/paper/spotting-ai-s-touch-identifying-llm","slug":"spotting-ai-s-touch-identifying-llm","title":"Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text","date":"2024-05-21","arxiv_id":"2405.12689","repositories_listed":1,"syntology":null},{"url":"/paper/the-first-swahili-language-scene-text","slug":"the-first-swahili-language-scene-text","title":"The First Swahili Language Scene Text Detection and Recognition Dataset","date":"2024-05-19","arxiv_id":"2405.11437","repositories_listed":1,"syntology":null},{"url":"/paper/deeppavlov-at-semeval-2024-task-8-leveraging","slug":"deeppavlov-at-semeval-2024-task-8-leveraging","title":"DeepPavlov at SemEval-2024 Task 8: Leveraging Transfer Learning for Detecting Boundaries of Machine-Generated Texts","date":"2024-05-17","arxiv_id":"2405.10629","repositories_listed":1,"syntology":null},{"url":"/paper/raid-a-shared-benchmark-for-robust-evaluation","slug":"raid-a-shared-benchmark-for-robust-evaluation","title":"RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors","date":"2024-05-13","arxiv_id":"2405.07940","repositories_listed":1,"syntology":{"n":2,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"0 ran · 2 unverified","sample_list":"/paper/raid-a-shared-benchmark-for-robust-evaluation#ran","syntology_url":"https://syntology.ai/paper/2405.07940","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.07940"}},"official":{"repos":["liamdugan/raid"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":[]}}},{"url":"/paper/semeval-2024-task-8-multidomain-multimodel","slug":"semeval-2024-task-8-multidomain-multimodel","title":"SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection","date":"2024-04-22","arxiv_id":"2404.14183","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":1,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/semeval-2024-task-8-multidomain-multimodel#ran","syntology_url":"https://syntology.ai/paper/2404.14183","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.14183"}},"official":null}},{"url":"/paper/text-in-the-dark-extremely-low-light-text","slug":"text-in-the-dark-extremely-low-light-text","title":"Text in the Dark: Extremely Low-Light Text Image Enhancement","date":"2024-04-22","arxiv_id":"2404.14135","repositories_listed":1,"syntology":null},{"url":"/paper/humanizing-machine-generated-content-evading","slug":"humanizing-machine-generated-content-evading","title":"Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack","date":"2024-04-02","arxiv_id":"2404.01907","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 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; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/humanizing-machine-generated-content-evading#ran","syntology_url":"https://syntology.ai/paper/2404.01907","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.01907"}},"official":{"repos":["zhouying20/hmgc"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/aipom-at-semeval-2024-task-8-detecting-ai","slug":"aipom-at-semeval-2024-task-8-detecting-ai","title":"AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4","date":"2024-03-28","arxiv_id":"2403.19354","repositories_listed":1,"syntology":null},{"url":"/paper/facilitating-pornographic-text-detection-for","slug":"facilitating-pornographic-text-detection-for","title":"Facilitating Pornographic Text Detection for Open-Domain Dialogue Systems via Knowledge Distillation of Large Language Models","date":"2024-03-20","arxiv_id":"2403.13250","repositories_listed":1,"syntology":null},{"url":"/paper/gpt-generated-text-detection-benchmark","slug":"gpt-generated-text-detection-benchmark","title":"GPT-generated Text Detection: Benchmark Dataset and Tensor-based Detection Method","date":"2024-03-12","arxiv_id":"2403.07321","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":3,"phrase":"2 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; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/gpt-generated-text-detection-benchmark#ran","syntology_url":"https://syntology.ai/paper/2403.07321","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.07321"}},"official":{"repos":["madlab-ucr/grid"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/towards-detecting-ai-generated-text-within","slug":"towards-detecting-ai-generated-text-within","title":"Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights","date":"2024-03-06","arxiv_id":"2403.03506","repositories_listed":1,"syntology":{"n":6,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":6,"phrase":"2 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; 0 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/towards-detecting-ai-generated-text-within#ran","syntology_url":"https://syntology.ai/paper/2403.03506","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.03506"}},"official":{"repos":["douglashiwo/aisentencedetection"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/odm-a-text-image-further-alignment-pre","slug":"odm-a-text-image-further-alignment-pre","title":"ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and Spotting","date":"2024-03-01","arxiv_id":"2403.00303","repositories_listed":1,"syntology":null},{"url":"/paper/semeval-2024-task-8-weighted-layer-averaging","slug":"semeval-2024-task-8-weighted-layer-averaging","title":"SemEval-2024 Task 8: Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection","date":"2024-02-24","arxiv_id":"2402.15873","repositories_listed":1,"syntology":null},{"url":"/paper/hu-at-semeval-2024-task-8a-can-contrastive","slug":"hu-at-semeval-2024-task-8a-can-contrastive","title":"HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text?","date":"2024-02-19","arxiv_id":"2402.11815","repositories_listed":1,"syntology":null},{"url":"/paper/m4gt-bench-evaluation-benchmark-for-black-box","slug":"m4gt-bench-evaluation-benchmark-for-black-box","title":"M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection","date":"2024-02-17","arxiv_id":"2402.11175","repositories_listed":1,"syntology":{"n":10,"n_ran":8,"n_constructed":0,"n_ran_checked":7,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":10,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/m4gt-bench-evaluation-benchmark-for-black-box#ran","syntology_url":"https://syntology.ai/paper/2402.11175","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.11175"}},"official":{"repos":["mbzuai-nlp/m4gt-bench"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/textron-weakly-supervised-multilingual-text-1","slug":"textron-weakly-supervised-multilingual-text-1","title":"TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming","date":"2024-02-15","arxiv_id":"2402.09811","repositories_listed":1,"syntology":null},{"url":"/paper/ten-words-only-still-help-improving-black-box","slug":"ten-words-only-still-help-improving-black-box","title":"Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling","date":"2024-02-14","arxiv_id":"2402.09199","repositories_listed":1,"syntology":null},{"url":"/paper/llm-detector-improving-ai-generated-chinese","slug":"llm-detector-improving-ai-generated-chinese","title":"LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning","date":"2024-02-02","arxiv_id":"2402.01158","repositories_listed":1,"syntology":null},{"url":"/paper/swintextspotter-v2-towards-better-synergy-for","slug":"swintextspotter-v2-towards-better-synergy-for","title":"SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting","date":"2024-01-15","arxiv_id":"2401.07641","repositories_listed":1,"syntology":null},{"url":"/paper/gomatching-a-simple-baseline-for-video-text","slug":"gomatching-a-simple-baseline-for-video-text","title":"GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching","date":"2024-01-13","arxiv_id":"2401.07080","repositories_listed":1,"syntology":null},{"url":"/paper/textnerf-a-novel-scene-text-image-synthesis","slug":"textnerf-a-novel-scene-text-image-synthesis","title":"TextNeRF: A Novel Scene-Text Image Synthesis Method based on Neural Radiance Fields","date":"2024-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/assaying-on-the-robustness-of-zero-shot","slug":"assaying-on-the-robustness-of-zero-shot","title":"Assaying on the Robustness of Zero-Shot Machine-Generated Text Detectors","date":"2023-12-20","arxiv_id":"2312.12918","repositories_listed":1,"syntology":null},{"url":"/paper/bridging-synthetic-and-real-worlds-for-pre","slug":"bridging-synthetic-and-real-worlds-for-pre","title":"Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors","date":"2023-12-08","arxiv_id":"2312.05286","repositories_listed":1,"syntology":null},{"url":"/paper/enhancing-scene-text-detectors-with-realistic","slug":"enhancing-scene-text-detectors-with-realistic","title":"Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion Models","date":"2023-11-28","arxiv_id":"2311.16555","repositories_listed":1,"syntology":null},{"url":"/paper/sut-a-new-multi-purpose-synthetic-dataset-for","slug":"sut-a-new-multi-purpose-synthetic-dataset-for","title":"SUT: a new multi-purpose synthetic dataset for Farsi document image analysis","date":"2023-11-27","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/machine-generated-text-detection-using-deep","slug":"machine-generated-text-detection-using-deep","title":"Machine-Generated Text Detection using Deep Learning","date":"2023-11-26","arxiv_id":"2311.15425","repositories_listed":1,"syntology":null},{"url":"/paper/towards-improving-document-understanding-an","slug":"towards-improving-document-understanding-an","title":"Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMs","date":"2023-11-22","arxiv_id":"2311.13194","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":4,"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) · 1 unverified","sample_list":"/paper/towards-improving-document-understanding-an#ran","syntology_url":"https://syntology.ai/paper/2311.13194","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.13194"}},"official":{"repos":["harrytea/tgdoc"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/imgtb-a-framework-for-machine-generated-text","slug":"imgtb-a-framework-for-machine-generated-text","title":"IMGTB: A Framework for Machine-Generated Text Detection Benchmarking","date":"2023-11-21","arxiv_id":"2311.12574","repositories_listed":1,"syntology":null},{"url":"/paper/artificial-text-boundary-detection-with","slug":"artificial-text-boundary-detection-with","title":"AI-generated text boundary detection with RoFT","date":"2023-11-14","arxiv_id":"2311.08349","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_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","sample_list":"/paper/artificial-text-boundary-detection-with#ran","syntology_url":"https://syntology.ai/paper/2311.08349","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.08349"}},"official":{"repos":["silversolver/ai_boundary_detection"],"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"]}}},{"url":"/paper/how-you-prompt-matters-even-task-oriented","slug":"how-you-prompt-matters-even-task-oriented","title":"How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection","date":"2023-11-14","arxiv_id":"2311.08369","repositories_listed":1,"syntology":null},{"url":"/paper/demasq-unmasking-the-chatgpt-wordsmith","slug":"demasq-unmasking-the-chatgpt-wordsmith","title":"DEMASQ: Unmasking the ChatGPT Wordsmith","date":"2023-11-08","arxiv_id":"2311.05019","repositories_listed":1,"syntology":null},{"url":"/paper/stacking-the-odds-transformer-based-ensemble","slug":"stacking-the-odds-transformer-based-ensemble","title":"Stacking the Odds: Transformer-Based Ensemble for AI-Generated Text Detection","date":"2023-10-29","arxiv_id":"2310.18906","repositories_listed":1,"syntology":null},{"url":"/paper/a-survey-on-llm-gernerated-text-detection","slug":"a-survey-on-llm-gernerated-text-detection","title":"A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions","date":"2023-10-23","arxiv_id":"2310.14724","repositories_listed":1,"syntology":null},{"url":"/paper/multitude-large-scale-multilingual-machine","slug":"multitude-large-scale-multilingual-machine","title":"MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark","date":"2023-10-20","arxiv_id":"2310.13606","repositories_listed":1,"syntology":null},{"url":"/paper/docxchain-a-powerful-open-source-toolchain","slug":"docxchain-a-powerful-open-source-toolchain","title":"DocXChain: A Powerful Open-Source Toolchain for Document Parsing and Beyond","date":"2023-10-19","arxiv_id":"2310.12430","repositories_listed":1,"syntology":null},{"url":"/paper/seqxgpt-sentence-level-ai-generated-text","slug":"seqxgpt-sentence-level-ai-generated-text","title":"SeqXGPT: Sentence-Level AI-Generated Text Detection","date":"2023-10-13","arxiv_id":"2310.08903","repositories_listed":1,"syntology":null},{"url":"/paper/zero-shot-detection-of-machine-generated","slug":"zero-shot-detection-of-machine-generated","title":"Zero-Shot Detection of Machine-Generated Codes","date":"2023-10-08","arxiv_id":"2310.05103","repositories_listed":1,"syntology":null},{"url":"/paper/harnessing-the-power-of-multi-lingual","slug":"harnessing-the-power-of-multi-lingual","title":"Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance","date":"2023-10-02","arxiv_id":"2310.00917","repositories_listed":1,"syntology":null},{"url":"/paper/facilitating-nsfw-text-detection-in-open","slug":"facilitating-nsfw-text-detection-in-open","title":"Facilitating NSFW Text Detection in Open-Domain Dialogue Systems via Knowledge Distillation","date":"2023-09-18","arxiv_id":"2309.09749","repositories_listed":1,"syntology":null},{"url":"/paper/towards-large-scale-building-attribute","slug":"towards-large-scale-building-attribute","title":"Towards Large-scale Building Attribute Mapping using Crowdsourced Images: Scene Text Recognition on Flickr and Problems to be Solved","date":"2023-09-14","arxiv_id":"2309.08042","repositories_listed":1,"syntology":null},{"url":"/paper/conda-contrastive-domain-adaptation-for-ai","slug":"conda-contrastive-domain-adaptation-for-ai","title":"ConDA: Contrastive Domain Adaptation for AI-generated Text Detection","date":"2023-09-07","arxiv_id":"2309.03992","repositories_listed":1,"syntology":null},{"url":"/paper/step-towards-structured-scene-text-spotting","slug":"step-towards-structured-scene-text-spotting","title":"STEP -- Towards Structured Scene-Text Spotting","date":"2023-09-05","arxiv_id":"2309.02356","repositories_listed":1,"syntology":null},{"url":"/paper/mixnet-toward-accurate-detection-of","slug":"mixnet-toward-accurate-detection-of","title":"MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild","date":"2023-08-23","arxiv_id":"2308.12817","repositories_listed":1,"syntology":null},{"url":"/paper/turning-a-clip-model-into-a-scene-text-1","slug":"turning-a-clip-model-into-a-scene-text-1","title":"Turning a CLIP Model into a Scene Text Spotter","date":"2023-08-21","arxiv_id":"2308.10408","repositories_listed":1,"syntology":null},{"url":"/paper/fighting-fire-with-fire-can-chatgpt-detect-ai","slug":"fighting-fire-with-fire-can-chatgpt-detect-ai","title":"Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?","date":"2023-08-02","arxiv_id":"2308.01284","repositories_listed":1,"syntology":null},{"url":"/paper/the-imitation-game-detecting-human-and-ai","slug":"the-imitation-game-detecting-human-and-ai","title":"The Imitation Game: Detecting Human and AI-Generated Texts in the Era of ChatGPT and BARD","date":"2023-07-22","arxiv_id":"2307.12166","repositories_listed":1,"syntology":null},{"url":"/paper/utrnet-high-resolution-urdu-text-recognition","slug":"utrnet-high-resolution-urdu-text-recognition","title":"UTRNet: High-Resolution Urdu Text Recognition In Printed Documents","date":"2023-06-27","arxiv_id":"2306.15782","repositories_listed":1,"syntology":null},{"url":"/paper/viteraser-harnessing-the-power-of-vision","slug":"viteraser-harnessing-the-power-of-vision","title":"ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining","date":"2023-06-21","arxiv_id":"2306.12106","repositories_listed":1,"syntology":null},{"url":"/paper/deepsolo-let-transformer-decoder-with-1","slug":"deepsolo-let-transformer-decoder-with-1","title":"DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Multilingual Text Spotting","date":"2023-05-31","arxiv_id":"2305.19957","repositories_listed":1,"syntology":null},{"url":"/paper/llmdet-a-large-language-models-detection-tool","slug":"llmdet-a-large-language-models-detection-tool","title":"LLMDet: A Third Party Large Language Models Generated Text Detection Tool","date":"2023-05-24","arxiv_id":"2305.15004","repositories_listed":1,"syntology":{"n":3,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 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; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/llmdet-a-large-language-models-detection-tool#ran","syntology_url":"https://syntology.ai/paper/2305.15004","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.15004"}},"official":{"repos":["trustedllm/llmdet"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/who-wrote-this-code-watermarking-for-code","slug":"who-wrote-this-code-watermarking-for-code","title":"Who Wrote this Code? Watermarking for Code Generation","date":"2023-05-24","arxiv_id":"2305.15060","repositories_listed":1,"syntology":null},{"url":"/paper/large-language-models-can-be-guided-to-evade","slug":"large-language-models-can-be-guided-to-evade","title":"Large Language Models can be Guided to Evade AI-Generated Text Detection","date":"2023-05-18","arxiv_id":"2305.10847","repositories_listed":1,"syntology":null},{"url":"/paper/icdar-2023-competition-on-hierarchical-text","slug":"icdar-2023-competition-on-hierarchical-text","title":"ICDAR 2023 Competition on Hierarchical Text Detection and Recognition","date":"2023-05-16","arxiv_id":"2305.09750","repositories_listed":1,"syntology":null},{"url":"/paper/paraphrasing-evades-detectors-of-ai-generated-1","slug":"paraphrasing-evades-detectors-of-ai-generated-1","title":"Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense","date":"2023-03-23","arxiv_id":"2303.13408","repositories_listed":1,"syntology":null},{"url":"/paper/turning-a-clip-model-into-a-scene-text","slug":"turning-a-clip-model-into-a-scene-text","title":"Turning a CLIP Model into a Scene Text Detector","date":"2023-02-28","arxiv_id":"2302.14338","repositories_listed":1,"syntology":null},{"url":"/paper/recurrent-contour-based-instance-segmentation","slug":"recurrent-contour-based-instance-segmentation","title":"Recurrent Generic Contour-based Instance Segmentation with Progressive Learning","date":"2023-01-21","arxiv_id":"2301.08898","repositories_listed":1,"syntology":null},{"url":"/paper/towards-robust-tampered-text-detection-in","slug":"towards-robust-tampered-text-detection-in","title":"Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution","date":"2023-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/a-comprehensive-gold-standard-and-benchmark","slug":"a-comprehensive-gold-standard-and-benchmark","title":"A Comprehensive Gold Standard and Benchmark for Comics Text Detection and Recognition","date":"2022-12-27","arxiv_id":"2212.14674","repositories_listed":1,"syntology":null},{"url":"/paper/coco-coherence-enhanced-machine-generated","slug":"coco-coherence-enhanced-machine-generated","title":"CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning","date":"2022-12-20","arxiv_id":"2212.10341","repositories_listed":1,"syntology":null},{"url":"/paper/cbnet-a-plug-and-play-network-for","slug":"cbnet-a-plug-and-play-network-for","title":"CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection","date":"2022-12-05","arxiv_id":"2212.02340","repositories_listed":1,"syntology":null},{"url":"/paper/deepsolo-let-transformer-decoder-with","slug":"deepsolo-let-transformer-decoder-with","title":"DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting","date":"2022-11-19","arxiv_id":"2211.10772","repositories_listed":1,"syntology":null},{"url":"/paper/tpfnet-a-novel-text-in-painting-transformer","slug":"tpfnet-a-novel-text-in-painting-transformer","title":"TPFNet: A Novel Text In-painting Transformer for Text Removal","date":"2022-10-26","arxiv_id":"2210.14461","repositories_listed":1,"syntology":{"n":7,"n_ran":5,"n_constructed":5,"n_ran_checked":5,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":7,"phrase":"5 ran (of which 5 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified; every one of the 5 samples that ran constructed an object rather than computing a result","sample_list":"/paper/tpfnet-a-novel-text-in-painting-transformer#ran","syntology_url":"https://syntology.ai/paper/2210.14461","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.14461"}},"official":{"repos":["candlelabai/tpfnet"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":5,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/deepfake-text-detection-limitations-and","slug":"deepfake-text-detection-limitations-and","title":"Deepfake Text Detection: Limitations and Opportunities","date":"2022-10-17","arxiv_id":"2210.09421","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 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; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/deepfake-text-detection-limitations-and#ran","syntology_url":"https://syntology.ai/paper/2210.09421","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.09421"}},"official":{"repos":["jmpu/deepfaketextdetection"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/threat-scenarios-and-best-practices-to-detect","slug":"threat-scenarios-and-best-practices-to-detect","title":"Threat Scenarios and Best Practices to Detect Neural Fake News","date":"2022-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/synscipass-detecting-appropriate-uses-of","slug":"synscipass-detecting-appropriate-uses-of","title":"SynSciPass: detecting appropriate uses of scientific text generation","date":"2022-09-07","arxiv_id":"2209.03742","repositories_listed":1,"syntology":null},{"url":"/paper/arbitrary-shape-text-detection-via","slug":"arbitrary-shape-text-detection-via","title":"Arbitrary Shape Text Detection via Segmentation with Probability Maps","date":"2022-08-26","arxiv_id":"2208.12419","repositories_listed":1,"syntology":null},{"url":"/paper/real-time-end-to-end-video-text-spotter-with","slug":"real-time-end-to-end-video-text-spotter-with","title":"Real-time End-to-End Video Text Spotter with Contrastive Representation Learning","date":"2022-07-18","arxiv_id":"2207.08417","repositories_listed":1,"syntology":null},{"url":"/paper/decoupling-recognition-from-detection-single","slug":"decoupling-recognition-from-detection-single","title":"Single Shot Self-Reliant Scene Text Spotter by Decoupled yet Collaborative Detection and Recognition","date":"2022-07-15","arxiv_id":"2207.07253","repositories_listed":1,"syntology":null},{"url":"/paper/coo-comic-onomatopoeia-dataset-for","slug":"coo-comic-onomatopoeia-dataset-for","title":"COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts","date":"2022-07-11","arxiv_id":"2207.04675","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 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; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/coo-comic-onomatopoeia-dataset-for#ran","syntology_url":"https://syntology.ai/paper/2207.04675","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.04675"}},"official":{"repos":["ku21fan/coo-comic-onomatopoeia"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["found_in_text"]}}},{"url":"/paper/dptext-detr-towards-better-scene-text","slug":"dptext-detr-towards-better-scene-text","title":"DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer","date":"2022-07-10","arxiv_id":"2207.04491","repositories_listed":1,"syntology":null},{"url":"/paper/dialog-22-ruatd-generated-text-detection","slug":"dialog-22-ruatd-generated-text-detection","title":"DIALOG-22 RuATD Generated Text Detection","date":"2022-06-16","arxiv_id":"2206.08029","repositories_listed":1,"syntology":null},{"url":"/paper/pp-ocrv3-more-attempts-for-the-improvement-of","slug":"pp-ocrv3-more-attempts-for-the-improvement-of","title":"PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System","date":"2022-06-07","arxiv_id":"2206.03001","repositories_listed":1,"syntology":null},{"url":"/paper/findings-of-the-the-ruatd-shared-task-2022-on","slug":"findings-of-the-the-ruatd-shared-task-2022-on","title":"Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian","date":"2022-06-03","arxiv_id":"2206.01583","repositories_listed":1,"syntology":null},{"url":"/paper/overcoming-language-disparity-in-online","slug":"overcoming-language-disparity-in-online","title":"Overcoming Language Disparity in Online Content Classification with Multimodal Learning","date":"2022-05-19","arxiv_id":"2205.09744","repositories_listed":1,"syntology":null},{"url":"/paper/traffsign-multilingual-traffic-signboard-text","slug":"traffsign-multilingual-traffic-signboard-text","title":"TraffSign: Multilingual Traffic Signboard Text Detection and Recognition for Urdu and English","date":"2022-05-18","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/rethinking-offensive-text-detection-as-a-1","slug":"rethinking-offensive-text-detection-as-a-1","title":"Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem","date":"2022-04-22","arxiv_id":"2204.10521","repositories_listed":1,"syntology":null},{"url":"/paper/text-spotting-transformers","slug":"text-spotting-transformers","title":"Text Spotting Transformers","date":"2022-04-05","arxiv_id":"2204.01918","repositories_listed":1,"syntology":{"n":12,"n_ran":7,"n_constructed":3,"n_ran_checked":4,"n_instrument":3,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"7 ran (of which 3 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/text-spotting-transformers#ran","syntology_url":"https://syntology.ai/paper/2204.01918","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2204.01918"}},"official":{"repos":["mlpc-ucsd/testr"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":3,"n_ran_no_instrument_failure":4,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/extremely-low-light-image-enhancement-with","slug":"extremely-low-light-image-enhancement-with","title":"Extremely Low-light Image Enhancement with Scene Text Restoration","date":"2022-04-01","arxiv_id":"2204.00630","repositories_listed":1,"syntology":null},{"url":"/paper/end-to-end-video-text-spotting-with","slug":"end-to-end-video-text-spotting-with","title":"End-to-End Video Text Spotting with Transformer","date":"2022-03-20","arxiv_id":"2203.10539","repositories_listed":1,"syntology":null},{"url":"/paper/kernel-proposal-network-for-arbitrary-shape","slug":"kernel-proposal-network-for-arbitrary-shape","title":"Kernel Proposal Network for Arbitrary Shape Text Detection","date":"2022-03-12","arxiv_id":"2203.06410","repositories_listed":1,"syntology":null},{"url":"/paper/weakly-supervised-scene-text-detection-using","slug":"weakly-supervised-scene-text-detection-using","title":"Weakly Supervised Scene Text Detection using Deep Reinforcement Learning","date":"2022-01-13","arxiv_id":"2201.04866","repositories_listed":1,"syntology":null},{"url":"/paper/does-text-attract-attention-on-e-commerce","slug":"does-text-attract-attention-on-e-commerce","title":"Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and Method","date":"2022-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/spts-single-point-text-spotting","slug":"spts-single-point-text-spotting","title":"SPTS: Single-Point Text Spotting","date":"2021-12-15","arxiv_id":"2112.07917","repositories_listed":1,"syntology":null},{"url":"/paper/core-text-improving-scene-text-detection-with","slug":"core-text-improving-scene-text-detection-with","title":"CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning","date":"2021-12-14","arxiv_id":"2112.07513","repositories_listed":1,"syntology":null},{"url":"/paper/industrial-scene-text-detection-with-refined","slug":"industrial-scene-text-detection-with-refined","title":"Industrial Scene Text Detection with Refined Feature-attentive Network","date":"2021-10-25","arxiv_id":"2110.12663","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"0 ran · 1 unverified","sample_list":"/paper/industrial-scene-text-detection-with-refined#ran","syntology_url":"https://syntology.ai/paper/2110.12663","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2110.12663"}},"official":{"repos":["tongkunguan/rfn"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"url":"/paper/tpsnet-thin-plate-spline-representation-for","slug":"tpsnet-thin-plate-spline-representation-for","title":"TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representation","date":"2021-10-25","arxiv_id":"2110.12826","repositories_listed":1,"syntology":null},{"url":"/paper/on-exploring-and-improving-robustness-of","slug":"on-exploring-and-improving-robustness-of","title":"On Exploring and Improving Robustness of Scene Text Detection Models","date":"2021-10-12","arxiv_id":"2110.05700","repositories_listed":1,"syntology":null},{"url":"/paper/text-aware-single-image-specular-highlight","slug":"text-aware-single-image-specular-highlight","title":"Text-Aware Single Image Specular Highlight Removal","date":"2021-08-16","arxiv_id":"2108.06881","repositories_listed":1,"syntology":null},{"url":"/paper/mmocr-a-comprehensive-toolbox-for-text","slug":"mmocr-a-comprehensive-toolbox-for-text","title":"MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding","date":"2021-08-14","arxiv_id":"2108.06543","repositories_listed":1,"syntology":null},{"url":"/paper/i3cl-intra-and-inter-instance-collaborative","slug":"i3cl-intra-and-inter-instance-collaborative","title":"I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection","date":"2021-08-03","arxiv_id":"2108.01343","repositories_listed":1,"syntology":null},{"url":"/paper/adaptive-boundary-proposal-network-for","slug":"adaptive-boundary-proposal-network-for","title":"Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection","date":"2021-07-27","arxiv_id":"2107.12664","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":2,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 1 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/adaptive-boundary-proposal-network-for#ran","syntology_url":"https://syntology.ai/paper/2107.12664","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2107.12664"}},"official":{"repos":["GXYM/TextBPN"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/centripetaltext-an-efficient-text-instance","slug":"centripetaltext-an-efficient-text-instance","title":"CentripetalText: An Efficient Text Instance Representation for Scene Text Detection","date":"2021-07-13","arxiv_id":"2107.05945","repositories_listed":1,"syntology":null}],"record_sha256":"87b56e2ad3684f10d2e16b8b757115fbb49d9d3a2e5cb8fb31044a9337093e5c","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}