{"total":30,"rows":[{"id":"2110.14168","title":"Training Verifiers to Solve Math Word Problems","created":"2021-10-27","cited_by_count":10109,"area":null},{"id":"2403.18105","title":"Large Language Models for Education: A Survey and Outlook","created":"2024-03-26","cited_by_count":188,"area":null},{"id":"2406.10833","title":"A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery","created":"2024-06-16","cited_by_count":96,"area":null},{"id":"2306.16636","title":"CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?","created":"2023-06-29","cited_by_count":90,"area":null},{"id":"2309.03241","title":"GPT Can Solve Mathematical Problems Without a Calculator","created":"2023-09-06","cited_by_count":68,"area":null},{"id":"2307.16180","title":"Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language Models","created":"2023-07-30","cited_by_count":56,"area":null},{"id":"2404.02893","title":"ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline","created":"2024-04-03","cited_by_count":47,"area":null},{"id":"2107.13435","title":"MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving","created":"2021-07-28","cited_by_count":32,"area":null},{"id":"2502.17810","title":"URO-Bench: Towards Comprehensive Evaluation for End-to-End Spoken Dialogue Models","created":"2025-02-25","cited_by_count":30,"area":null},{"id":"2312.07622","title":"Mathematical Language Models: A Survey","created":"2023-12-12","cited_by_count":24,"area":null},{"id":"2108.06743","title":"Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning","created":"2021-08-15","cited_by_count":17,"area":null},{"id":"2109.13112","title":"Recall and Learn: A Memory-augmented Solver for Math Word Problems","created":"2021-09-27","cited_by_count":13,"area":null},{"id":"2111.05364","title":"Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems","created":"2021-10-29","cited_by_count":12,"area":null},{"id":"2411.11027","title":"BianCang: A Traditional Chinese Medicine Large Language Model","created":"2024-11-17","cited_by_count":12,"area":null},{"id":"2210.15373","title":"Self-consistent Reasoning For Solving Math Word Problems","created":"2022-10-27","cited_by_count":10,"area":null},{"id":"2507.18013","title":"Technical Report of TeleChat2, TeleChat2.5 and T1","created":"2025-07-24","cited_by_count":10,"area":null},{"id":"2311.15786","title":"YUAN 2.0: A Large Language Model with Localized Filtering-based Attention","created":"2023-11-27","cited_by_count":9,"area":null},{"id":"2205.08108","title":"Unbiased Math Word Problems Benchmark for Mitigating Solving Bias","created":"2022-05-17","cited_by_count":8,"area":null},{"id":"2408.08003","title":"Leveraging Web-Crawled Data for High-Quality Fine-Tuning","created":"2024-08-15","cited_by_count":5,"area":null},{"id":"2411.16454","title":"Learning by Analogy: Enhancing Few-Shot Prompting for Math Word Problem Solving with Computational Graph-Based Retrieval","created":"2024-11-25","cited_by_count":5,"area":null},{"id":"2106.03983","title":"Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference","created":"2021-06-07","cited_by_count":4,"area":null},{"id":"2206.08506","title":"A Numerical Reasoning Question Answering System with Fine-grained Retriever and the Ensemble of Multiple Generators for FinQA","created":"2022-06-17","cited_by_count":4,"area":null},{"id":"2310.15664","title":"Expression Syntax Information Bottleneck for Math Word Problems","created":"2023-10-24","cited_by_count":4,"area":null},{"id":"2409.14037","title":"Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators","created":"2024-09-21","cited_by_count":4,"area":null},{"id":"2511.11238","title":"Virtual Width Networks","created":"2025-11-14","cited_by_count":3,"area":null},{"id":"2604.15706","title":"Target-Oriented Pretraining Data Selection via Neuron-Activated Graph","created":"2026-04-17","cited_by_count":2,"area":null},{"id":"2406.01276","title":"EduNLP: Towards a Unified and Modularized Library for Educational Resources","created":"2024-06-03","cited_by_count":1,"area":null},{"id":"2208.05645","title":"Heterogeneous Line Graph Transformer for Math Word Problems","created":"2022-08-11","cited_by_count":0,"area":null},{"id":"2601.21344","title":"Dynamic Framework for Collaborative Learning: Leveraging Advanced LLM with Adaptive Feedback Mechanisms","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2605.00072","title":"XekRung Technical Report","created":"2026-04-30","cited_by_count":0,"area":null}],"next_cursor":null}