{"total":20,"rows":[{"id":"2402.14903","title":"Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs","created":"2024-02-22","cited_by_count":115,"area":null},{"id":"2405.01147","title":"Why Tabular Foundation Models Should Be a Research Priority","created":"2024-05-02","cited_by_count":106,"area":null},{"id":"2410.02724","title":"Large Language Models as Markov Chains","created":"2024-10-03","cited_by_count":35,"area":null},{"id":"2412.05244","title":"Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization","created":"2024-12-06","cited_by_count":27,"area":null},{"id":"2409.04481","title":"Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials","created":"2024-09-06","cited_by_count":24,"area":null},{"id":"2406.13846","title":"Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning","created":"2024-06-19","cited_by_count":17,"area":null},{"id":"2411.02083","title":"Regress, Don't Guess -- A Regression-like Loss on Number Tokens for Language Models","created":"2024-11-04","cited_by_count":13,"area":null},{"id":"2312.11502","title":"Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data","created":"2023-12-09","cited_by_count":9,"area":null},{"id":"2410.19353","title":"Interleaving Text and Number Embeddings to Solve Mathemathics Problems","created":"2024-10-25","cited_by_count":5,"area":null},{"id":"2408.01736","title":"Can LLMs predict the convergence of Stochastic Gradient Descent?","created":"2024-08-03","cited_by_count":2,"area":null},{"id":"2602.21307","title":"SymTorch: Symbolic Distillation of Neural Networks","created":"2026-02-24","cited_by_count":2,"area":null},{"id":"2501.09729","title":"Generating particle physics Lagrangians with transformers","created":"2025-01-16","cited_by_count":1,"area":null},{"id":"2505.21680","title":"multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2606.27731","title":"Enhancing Numerical Prediction in LLMs via Smooth MMD Alignment","created":"2026-06-26","cited_by_count":1,"area":null},{"id":"2402.16482","title":"On Languaging a Simulation Engine","created":"2024-02-26","cited_by_count":0,"area":null},{"id":"2505.18465","title":"BiomechGPT: Extending Motion-Language Models to Clinical Motion Understanding","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2602.02820","title":"From Tokens to Numbers: Continuous Number Modeling for SVG Generation","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2604.16775","title":"Representation Before Training: A Practical Benchmark for Generative Medical Event Model Tokenization","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2605.12106","title":"Large Language Models as Amortized Pareto-Front Generators for Constrained Bi-Objective Convex Optimization","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2610.15235","title":"MoMaTune: Model, Match, Then Tune Language Models for Numerical Records","created":"2026-10-11","cited_by_count":0,"area":null}],"next_cursor":null}