{"total":30,"rows":[{"id":"2303.18223","title":"A Survey of Large Language Models","created":"2023-03-31","cited_by_count":2576,"area":null},{"id":"2306.15895","title":"Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias","created":"2023-06-28","cited_by_count":232,"area":null},{"id":"2311.04205","title":"Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves","created":"2023-11-07","cited_by_count":123,"area":null},{"id":"2303.04132","title":"Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction","created":"2023-03-07","cited_by_count":89,"area":null},{"id":"2306.06283","title":"14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon","created":"2023-06-09","cited_by_count":86,"area":null},{"id":"2306.00946","title":"Exposing Attention Glitches with Flip-Flop Language Modeling","created":"2023-06-01","cited_by_count":75,"area":null},{"id":"2407.12994","title":"A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks","created":"2024-07-17","cited_by_count":47,"area":null},{"id":"2401.07102","title":"Evolving Code with A Large Language Model","created":"2024-01-13","cited_by_count":43,"area":null},{"id":"2305.14386","title":"Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation","created":"2023-05-22","cited_by_count":29,"area":null},{"id":"2306.09719","title":"Pushing the Limits of ChatGPT on NLP Tasks","created":"2023-06-16","cited_by_count":27,"area":null},{"id":"2312.11441","title":"Social Learning: Towards Collaborative Learning with Large Language Models","created":"2023-12-18","cited_by_count":15,"area":null},{"id":"2406.10382","title":"Efficient Prompting for LLM-based Generative Internet of Things","created":"2024-06-14","cited_by_count":12,"area":null},{"id":"2404.01041","title":"Can LLMs get help from other LLMs without revealing private information?","created":"2024-04-01","cited_by_count":9,"area":null},{"id":"2408.10615","title":"Enhancing Robustness in Large Language Models: Prompting for Mitigating the Impact of Irrelevant Information","created":"2024-08-20","cited_by_count":8,"area":null},{"id":"2310.05035","title":"Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection","created":"2023-10-08","cited_by_count":7,"area":null},{"id":"2308.15962","title":"WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model","created":"2023-08-30","cited_by_count":6,"area":null},{"id":"2603.29791","title":"Reasoning-Driven Synthetic Data Generation and Evaluation","created":"2026-03-31","cited_by_count":5,"area":null},{"id":"2311.07099","title":"Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning","created":"2023-11-13","cited_by_count":4,"area":null},{"id":"2503.14484","title":"Gricean Norms as a Basis for Effective Collaboration","created":"2025-03-18","cited_by_count":3,"area":null},{"id":"2501.06382","title":"Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention","created":"2025-01-10","cited_by_count":2,"area":null},{"id":"2510.17882","title":"Does GenAI Rewrite How We Write? An Empirical Study on Two-Million Preprints","created":"2025-10-18","cited_by_count":2,"area":null},{"id":"2312.16243","title":"Mixture Data for Training Cannot Ensure Out-of-distribution Generalization","created":"2023-12-25","cited_by_count":1,"area":null},{"id":"2402.14301","title":"GenSERP: Large Language Models for Whole Page Presentation","created":"2024-02-22","cited_by_count":1,"area":null},{"id":"2404.03428","title":"Edisum: Summarizing and Explaining Wikipedia Edits at Scale","created":"2024-04-04","cited_by_count":1,"area":null},{"id":"2501.13978","title":"Chain of Grounded Objectives: Bridging Process and Goal-oriented Prompting for Code Generation","created":"2025-01-23","cited_by_count":1,"area":null},{"id":"2505.03265","title":"Synthline: A Product Line Approach for Synthetic Requirements Engineering Data Generation using Large Language Models","created":"2025-05-06","cited_by_count":1,"area":null},{"id":"2511.12797","title":"Genomic Next-Token Predictors are In-Context Learners","created":"2025-11-16","cited_by_count":1,"area":null},{"id":"2604.17803","title":"Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2412.17891","title":"The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting","created":"2024-12-23","cited_by_count":0,"area":null},{"id":"2504.00339","title":"VNJPTranslate: A comprehensive pipeline for Vietnamese-Japanese translation","created":"2025-04-01","cited_by_count":0,"area":null}],"next_cursor":null}