{"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/math/papers/15","list_of":"/task/math","task":"Math","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":15,"pages_in_order":16,"rows_per_page":100,"rows":[1401,1500],"of":1596,"counts":{"archive_papers_tagged":1596,"with_a_code_link":765,"where_syntology_ran_a_sample":349,"not_listed_spam_title":0,"listed":1596,"listed_where_code_ran":349,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":286,"every_run_a_failure_of_syntologys_instrument":63,"listed_with_a_run_with_no_instrument_failure":286,"listed_every_run_a_failure_of_syntologys_instrument":63,"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/math","prev":"/task/math/papers/14","next":"/task/math/papers/16","papers":[{"url":null,"slug":"semantic-based-data-augmentation-for-math","title":"Semantic-based Data Augmentation for Math Word Problems","date":"2022-01-07","arxiv_id":"2201.02489","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-trustworthy-autograding-of-short","title":"Towards Trustworthy AutoGrading of Short, Multi-lingual, Multi-type Answers","date":"2022-01-02","arxiv_id":"2201.03425","repositories_listed":0,"syntology":null},{"url":null,"slug":"accelerating-neural-network-optimization","title":"Accelerating Neural Network Optimization Through an Automated Control Theory Lens","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"warm-a-weakly-semi-supervised-math-word","title":"WARM: A Weakly (+Semi) Supervised Math Word Problem Solver","date":"2021-12-17","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"backward-bifurcation-and-saddle-node","title":"Backward bifurcation and saddle-node bifurcation in virus-immune dynamics","date":"2021-12-01","arxiv_id":"2112.00340","repositories_listed":0,"syntology":null},{"url":null,"slug":"effects-of-context-complexity-and-clustering","title":"Effects of context, complexity, and clustering on evaluation for math formula retrieval","date":"2021-11-20","arxiv_id":"2111.10504","repositories_listed":0,"syntology":null},{"url":null,"slug":"comsearch-equation-searching-with","title":"ComSearch: Equation Searching with Combinatorial Mathematics for Solving Math Word Problems with Weak Supervision","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"continual-pre-training-of-language-models-for","title":"Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-attention-decoder-for-solving","title":"Hierarchical Attention Decoder for Solving Math Word Problems","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-equation-set-problems-with-label","title":"Improving Equation Set Problems with Label Augmentation","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mathion-solving-math-word-problems-with","title":"MATHion: Solving Math Word Problems with Logically Consistent Problems","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"reasoning-like-program-executors","title":"Reasoning Like Program Executors","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"self-competitive-learning-for-solving-math","title":"Self-Competitive Learning for Solving Math Word Problem","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"solving-linear-algebra-by-program-synthesis","title":"Solving Linear Algebra by Program Synthesis","date":"2021-11-16","arxiv_id":"2111.08171","repositories_listed":0,"syntology":null},{"url":null,"slug":"solving-linear-algebra-by-program-synthesis-1","title":"Solving Linear Algebra by Program Synthesis","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-interpretable-math-word-problem","title":"Towards Interpretable Math Word Problem Solving with Grounded Linguistic Logic Reasoning","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-based-joint-training-for-semi","title":"Uncertainty-Based Joint Training For Semi-Supervised Math Word Problem","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mechanochemical-models-for-calcium-waves-in","title":"Mechanochemical models for calcium waves in embryonic epithelia","date":"2021-11-03","arxiv_id":"2111.02068","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-math-word-problems-with-pre-trained","title":"Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mapping-probability-word-problems-to","title":"Mapping probability word problems to executable representations","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"approximation-properties-of-residual-neural","title":"Approximation properties of Residual Neural Networks for Kolmogorov PDEs","date":"2021-10-30","arxiv_id":"2111.00215","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-tractable-mathematical-reasoning","title":"Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems","date":"2021-10-29","arxiv_id":"2111.05364","repositories_listed":0,"syntology":null},{"url":"/paper/introducing-the-mathematics-meme-repository","slug":"introducing-the-mathematics-meme-repository","title":"Introducing the Mathematics Meme Repository","date":"2021-10-19","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-math-aware-automated-classification","title":"Towards Math-Aware Automated Classification and Similarity Search of Scientific Publications: Methods of Mathematical Content Representations","date":"2021-10-08","arxiv_id":"2110.04040","repositories_listed":0,"syntology":null},{"url":null,"slug":"mining-commonsense-and-domain-knowledge-from","title":"Mining Commonsense and Domain Knowledge from Math Word Problems","date":"2021-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-skellam-mechanism-a-novel","title":"Distributed Skellam Mechanism: a Novel Approach to Federated Learning with Differential Privacy","date":"2021-09-29","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"kokoyi-executable-latex-for-end-to-end-deep","title":"Kokoyi: Executable LaTeX for End-to-end Deep Learning","date":"2021-09-29","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"complementing-the-linear-programming-learning","title":"Complementing the Linear-Programming Learning Experience with the Design and Use of Computerized Games: The Formula 1 Championship Game","date":"2021-09-19","arxiv_id":"2109.10698","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-preserving-bijective-mappings-of","title":"Semantic Preserving Bijective Mappings of Mathematical Formulae between Document Preparation Systems and Computer Algebra Systems","date":"2021-09-17","arxiv_id":"2109.08655","repositories_listed":0,"syntology":null},{"url":null,"slug":"math-word-problem-generation-with","title":"Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints","date":"2021-09-09","arxiv_id":"2109.04546","repositories_listed":0,"syntology":null},{"url":null,"slug":"argot-a-glossary-of-terms-extracted-from-the","title":"ArGoT: A Glossary of Terms extracted from the arXiv","date":"2021-09-07","arxiv_id":"2109.02801","repositories_listed":0,"syntology":null},{"url":"/paper/generate-rank-a-multi-task-framework-for-math","slug":"generate-rank-a-multi-task-framework-for-math","title":"Generate & Rank: A Multi-task Framework for Math Word Problems","date":"2021-09-07","arxiv_id":"2109.03034","repositories_listed":0,"syntology":null},{"url":null,"slug":"numgpt-improving-numeracy-ability-of","title":"NumGPT: Improving Numeracy Ability of Generative Pre-trained Models","date":"2021-09-07","arxiv_id":"2109.03137","repositories_listed":0,"syntology":null},{"url":null,"slug":"modelling-silicosis-dynamics-of-a-model-with","title":"Modelling silicosis: dynamics of a model with piecewise constant rate coefficients","date":"2021-09-02","arxiv_id":"2109.01172","repositories_listed":0,"syntology":null},{"url":null,"slug":"network-psychometrics-and-cognitive-network","title":"Network psychometrics and cognitive network science open new ways for detecting, understanding and tackling the complexity of math anxiety: A review","date":"2021-08-31","arxiv_id":"2108.13800","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-word-is-mightier-than-the-label-learning","title":"The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming","date":"2021-08-24","arxiv_id":"2108.10921","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-transformer-based-math-language-model-for","title":"A Transformer-based Math Language Model for Handwritten Math Expression Recognition","date":"2021-08-11","arxiv_id":"2108.05002","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-and-improving-bert-s-mathematical-1","title":"Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning.","date":"2021-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/autobert-zero-evolving-bert-backbone-from","slug":"autobert-zero-evolving-bert-backbone-from","title":"AutoBERT-Zero: Evolving BERT Backbone from Scratch","date":"2021-07-15","arxiv_id":"2107.07445","repositories_listed":0,"syntology":null},{"url":null,"slug":"scarecrow-a-framework-for-scrutinizing","title":"Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text","date":"2021-07-02","arxiv_id":"2107.01294","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-non-textual-content-elements-to","title":"Analyzing Non-Textual Content Elements to Detect Academic Plagiarism","date":"2021-06-10","arxiv_id":"2106.05764","repositories_listed":0,"syntology":null},{"url":null,"slug":"assessing-the-impact-of-social-activity","title":"Assessing the impact of social activity permissiveness on the COVID-19 infection curve of several countries","date":"2021-06-08","arxiv_id":"2106.04085","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-and-improving-bert-s-mathematical","title":"Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning","date":"2021-06-07","arxiv_id":"2106.03921","repositories_listed":0,"syntology":null},{"url":null,"slug":"solving-arithmetic-word-problems-with","title":"Solving Arithmetic Word Problems with Transformers and Preprocessing of Problem Text","date":"2021-06-02","arxiv_id":"2106.00893","repositories_listed":0,"syntology":null},{"url":null,"slug":"webmias-on-docker-deploying-math-aware-search","title":"WebMIaS on Docker: Deploying Math-Aware Search in a Single Line of Code","date":"2021-06-01","arxiv_id":"2106.00411","repositories_listed":0,"syntology":null},{"url":null,"slug":"classifying-math-kcs-via-task-adaptive-pre","title":"Classifying Math KCs via Task-Adaptive Pre-Trained BERT","date":"2021-05-24","arxiv_id":"2105.11343","repositories_listed":0,"syntology":null},{"url":null,"slug":"gssf-a-generative-sequence-similarity","title":"GSSF: A Generative Sequence Similarity Function based on a Seq2Seq model for clustering online handwritten mathematical answers","date":"2021-05-21","arxiv_id":"2105.10159","repositories_listed":0,"syntology":null},{"url":null,"slug":"mathbert-a-pre-trained-model-for-mathematical","title":"MathBERT: A Pre-Trained Model for Mathematical Formula Understanding","date":"2021-05-02","arxiv_id":"2105.00377","repositories_listed":0,"syntology":null},{"url":null,"slug":"math-operation-embeddings-for-open-ended","title":"Math Operation Embeddings for Open-ended Solution Analysis and Feedback","date":"2021-04-25","arxiv_id":"2104.12047","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-description-construction-for-math","title":"Automatic Description Construction for Math Expression via Topic Relation Graph","date":"2021-04-24","arxiv_id":"2104.11890","repositories_listed":0,"syntology":null},{"url":null,"slug":"backup-control-barrier-functions-formulation","title":"Backup Control Barrier Functions: Formulation and Comparative Study","date":"2021-04-22","arxiv_id":"2104.11332","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-weakly-supervised-model-for-solving-math","title":"WARM: A Weakly (+Semi) Supervised Model for Solving Math word Problems","date":"2021-04-14","arxiv_id":"2104.06722","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-matrix-math-facility-for-power-isa-tm","title":"A matrix math facility for Power ISA(TM) processors","date":"2021-04-07","arxiv_id":"2104.03142","repositories_listed":0,"syntology":null},{"url":null,"slug":"gpu-domain-specialization-via-composable-on","title":"GPU Domain Specialization via Composable On-Package Architecture","date":"2021-04-05","arxiv_id":"2104.02188","repositories_listed":0,"syntology":null},{"url":null,"slug":"extracting-the-unknown-from-long-math","title":"Extracting the Unknown from Long Math Problems","date":"2021-03-22","arxiv_id":"2103.12048","repositories_listed":0,"syntology":null},{"url":null,"slug":"revisiting-priority-k-center-fairness-and","title":"Revisiting Priority $k$-Center: Fairness and Outliers","date":"2021-03-04","arxiv_id":"2103.03337","repositories_listed":0,"syntology":null},{"url":null,"slug":"rip-van-winkle-s-razor-a-simple-estimate-of","title":"Rip van Winkle's Razor: A Simple Estimate of Overfit to Test Data","date":"2021-02-25","arxiv_id":"2102.13189","repositories_listed":0,"syntology":null},{"url":null,"slug":"vs-quant-per-vector-scaled-quantization-for","title":"VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference","date":"2021-02-08","arxiv_id":"2102.04503","repositories_listed":0,"syntology":null},{"url":null,"slug":"characterizing-student-engagement-moods-for","title":"Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websites","date":"2021-01-31","arxiv_id":"2102.00423","repositories_listed":0,"syntology":null},{"url":null,"slug":"performance-analysis-and-improvement-of","title":"Performance Analysis and Improvement of Parallel Differential Evolution","date":"2021-01-17","arxiv_id":"2101.06599","repositories_listed":0,"syntology":null},{"url":null,"slug":"chemistryqa-a-complex-question-answering","title":"ChemistryQA: A Complex Question Answering Dataset from Chemistry","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"breaking-ties-regression-discontinuity-design","title":"Breaking Ties: Regression Discontinuity Design Meets Market Design","date":"2020-12-31","arxiv_id":"2101.01093","repositories_listed":0,"syntology":null},{"url":null,"slug":"smart-a-situation-model-for-algebra-story","title":"SMART: A Situation Model for Algebra Story Problems via Attributed Grammar","date":"2020-12-27","arxiv_id":"2012.14011","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-math-word-problems-from-equations","title":"Generating Math Word Problems from Equations with Topic Controlling and Commonsense Enforcement","date":"2020-12-14","arxiv_id":"2012.07379","repositories_listed":0,"syntology":null},{"url":null,"slug":"biased-programmers-or-biased-data-a-field","title":"Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics","date":"2020-12-04","arxiv_id":"2012.02394","repositories_listed":0,"syntology":null},{"url":"/paper/generating-equation-by-utilizing-operators","slug":"generating-equation-by-utilizing-operators","title":"Generating Equation by Utilizing Operators : GEO model","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"solving-arithmetic-word-problems-using","title":"Solving Arithmetic Word Problems Using Transformer and Pre-processing of Problem Texts","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"technical-domain-identification-using","title":"Technical Domain Identification using word2vec and BiLSTM","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforced-optimal-control","title":"Reinforced optimal control","date":"2020-11-24","arxiv_id":"2011.12382","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-knowledge-aware-sequence-to-tree-network","title":"A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving","date":"2020-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"noisy-deductive-reasoning-how-humans","title":"Noisy Deductive Reasoning: How Humans Construct Math, and How Math Constructs Universes","date":"2020-10-28","arxiv_id":"2012.08298","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-range-characterization-of-the-single","title":"A range characterization of the single-quadrant ADRT","date":"2020-10-11","arxiv_id":"2010.05360","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-translation-of-mathematical-text","title":"Machine Translation of Mathematical Text","date":"2020-10-11","arxiv_id":"2010.05229","repositories_listed":0,"syntology":null},{"url":null,"slug":"short-dated-smile-under-rough-volatility","title":"Short dated smile under Rough Volatility: asymptotics and numerics","date":"2020-09-18","arxiv_id":"2009.08814","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-chinese-math-word-problem-solving-system","title":"A Chinese Math Word Problem Solving System Based on Linguistic Theory and Non-statistical Approach","date":"2020-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sustainable-border-control-policy-in-the","title":"Sustainable Border Control Policy in the COVID-19 Pandemic: A Math Modeling Study","date":"2020-08-28","arxiv_id":"2008.13561","repositories_listed":0,"syntology":null},{"url":null,"slug":"analytic-solution-of-the-seir-epidemic-model","title":"Analytic solution of the SEIR epidemic model via asymptotic approximant","date":"2020-06-30","arxiv_id":"2006.09818","repositories_listed":0,"syntology":null},{"url":null,"slug":"interpretable-factorization-for-neural","title":"Interpretable Factorization for Neural Network ECG Models","date":"2020-06-26","arxiv_id":"2006.15189","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-sparse-connectivity-adversarial-robustness","title":"On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron","date":"2020-06-16","arxiv_id":"2006.09510","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatized-evaluation-of-formalization","title":"Automatized Evaluation of Formalization Exercises in Mathematics","date":"2020-06-02","arxiv_id":"2006.01800","repositories_listed":0,"syntology":null},{"url":null,"slug":"entropy-martingale-optimal-transport-and","title":"Entropy Martingale Optimal Transport and Nonlinear Pricing-Hedging Duality","date":"2020-05-26","arxiv_id":"2005.12572","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-and-clustering-of-arxiv","title":"Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language","date":"2020-05-22","arxiv_id":"2005.11021","repositories_listed":0,"syntology":null},{"url":"/paper/neural-symbolic-reader-scalable-integration","slug":"neural-symbolic-reader-scalable-integration","title":"Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"accurate-closed-form-solution-of-the-sir","title":"Accurate closed-form solution of the SIR epidemic model","date":"2020-04-16","arxiv_id":"2004.07833","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-sharpness-of-error-bounds-for-multivariate","title":"On Sharpness of Error Bounds for Multivariate Neural Network Approximation","date":"2020-04-05","arxiv_id":"2004.02203","repositories_listed":0,"syntology":null},{"url":null,"slug":"information-token-driven-machine-learning-for","title":"Information Token Driven Machine Learning for Electronic Markets: Performance Effects in Behavioral Financial Big Data Analytics","date":"2020-03-30","arxiv_id":"2004.06642","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-you-hear-me-textit-now-sensitive","title":"Can you hear me $\\textit{now}$? Sensitive comparisons of human and machine perception","date":"2020-03-27","arxiv_id":"2003.12362","repositories_listed":0,"syntology":null},{"url":null,"slug":"basic-concepts-definitions-and-methods-in-d","title":"Basic concepts, definitions, and methods in D number theory","date":"2020-03-21","arxiv_id":"2003.09661","repositories_listed":0,"syntology":null},{"url":null,"slug":"pathogen-infection-recovery-probability-pirp","title":"Pathogen Infection Recovery Probability (PIRP) Versus Proinflammatory Anti-Pathogen Species (PIAPS) Levels: Modelling and Therapeutic Strategies","date":"2020-03-11","arxiv_id":"2003.05507","repositories_listed":0,"syntology":null},{"url":null,"slug":"assignment-flows-for-data-labeling-on-graphs","title":"Assignment Flows for Data Labeling on Graphs: Convergence and Stability","date":"2020-02-26","arxiv_id":"2002.11571","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-affect-transfer-learning-for","title":"Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System","date":"2020-02-12","arxiv_id":"2002.05242","repositories_listed":0,"syntology":null},{"url":null,"slug":"love-is-as-complex-as-math-metaphor","title":"\"Love is as Complex as Math\": Metaphor Generation System for Social Chatbot","date":"2020-01-03","arxiv_id":"2001.00733","repositories_listed":0,"syntology":null},{"url":null,"slug":"non-congruent-non-degenerate-curves-with","title":"Non-congruent non-degenerate curves with identical signatures","date":"2019-12-20","arxiv_id":"1912.09597","repositories_listed":0,"syntology":null},{"url":null,"slug":"query-auto-completion-for-math-formula-search","title":"Query Auto Completion for Math Formula Search","date":"2019-12-09","arxiv_id":"1912.04115","repositories_listed":0,"syntology":null},{"url":null,"slug":"dimensionality-reduction-theoretical","title":"Dimensionality reduction: theoretical perspective on practical measures","date":"2019-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"151-estrategias-de-trading-151-trading","title":"151 Estrategias de Trading (151 Trading Strategies)","date":"2019-11-14","arxiv_id":"1912.04492","repositories_listed":0,"syntology":null},{"url":null,"slug":"tree-structured-decoding-for-solving-math","title":"Tree-structured Decoding for Solving Math Word Problems","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"introduction-to-coresets-accurate-coresets","title":"Introduction to Coresets: Accurate Coresets","date":"2019-10-19","arxiv_id":"1910.08707","repositories_listed":0,"syntology":null},{"url":null,"slug":"text2math-end-to-end-parsing-text-into-math","title":"Text2Math: End-to-end Parsing Text into Math Expressions","date":"2019-10-15","arxiv_id":"1910.06571","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-generating-math-word-problems-from","title":"Towards Generating Math Word Problems from Equations and Topics","date":"2019-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"8d69473615978f5e100fd424ba8cc7ed967f5546684a4bfd09d50ac942b9b5a0","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}