{"total":23,"rows":[{"id":"2305.18486","title":"A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets","created":"2023-05-29","cited_by_count":123,"area":null},{"id":"2410.03981","title":"A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages","created":"2024-10-04","cited_by_count":66,"area":null},{"id":"2309.04369","title":"Beyond Static Datasets: A Deep Interaction Approach to LLM Evaluation","created":"2023-09-08","cited_by_count":24,"area":null},{"id":"2311.04929","title":"An Interdisciplinary Outlook on Large Language Models for Scientific Research","created":"2023-11-03","cited_by_count":15,"area":null},{"id":"2304.02017","title":"Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processing","created":"2023-03-27","cited_by_count":11,"area":null},{"id":"2303.13634","title":"Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity","created":"2023-03-22","cited_by_count":7,"area":null},{"id":"2309.03087","title":"Unreflected Acceptance -- Investigating the Negative Consequences of ChatGPT-Assisted Problem Solving in Physics Education","created":"2023-08-21","cited_by_count":7,"area":null},{"id":"2305.06934","title":"Humans are Still Better than ChatGPT: Case of the IEEEXtreme Competition","created":"2023-05-10","cited_by_count":5,"area":null},{"id":"2501.02199","title":"Can ChatGPT implement finite element models for geotechnical engineering applications?","created":"2025-01-04","cited_by_count":5,"area":null},{"id":"2509.20374","title":"CFDLLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics","created":"2025-09-19","cited_by_count":5,"area":null},{"id":"2304.09339","title":"The Unintended Consequences of Censoring Digital Technology -- Evidence from Italy's ChatGPT Ban","created":"2023-04-18","cited_by_count":3,"area":null},{"id":"2405.15406","title":"A Misleading Gallery of Fluid Motion by Generative Artificial Intelligence","created":"2024-05-24","cited_by_count":3,"area":null},{"id":"2504.06327","title":"Physics-informed KAN PointNet: Deep learning for simultaneous solutions to inverse problems in incompressible flow on numerous irregular geometries","created":"2025-04-08","cited_by_count":3,"area":null},{"id":"2304.13010","title":"Unstructured and structured data: Can we have the best of both worlds with large language models?","created":"2023-04-25","cited_by_count":2,"area":null},{"id":"2306.01784","title":"Evaluating GPT's Programming Capability through CodeWars' Katas","created":"2023-05-31","cited_by_count":2,"area":null},{"id":"2404.02269","title":"Extracting Norms from Contracts Via ChatGPT: Opportunities and Challenges","created":"2024-04-02","cited_by_count":2,"area":null},{"id":"2305.07230","title":"When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust","created":"2023-05-12","cited_by_count":1,"area":null},{"id":"2310.12425","title":"Automated Repair of Declarative Software Specifications in the Era of Large Language Models","created":"2023-10-19","cited_by_count":1,"area":null},{"id":"2402.10920","title":"Designing Silicon Brains using LLM: Leveraging ChatGPT for Automated Description of a Spiking Neuron Array","created":"2024-01-25","cited_by_count":1,"area":null},{"id":"2502.11915","title":"On the robustness of ChatGPT in teaching Korean Mathematics","created":"2025-02-17","cited_by_count":1,"area":null},{"id":"2402.06964","title":"NLP for Knowledge Discovery and Information Extraction from Energetics Corpora","created":"2024-02-10","cited_by_count":0,"area":null},{"id":"2402.16482","title":"On Languaging a Simulation Engine","created":"2024-02-26","cited_by_count":0,"area":null},{"id":"2608.03600","title":"Large language models for partial differential equation workflows","created":"2026-08-04","cited_by_count":0,"area":null}],"next_cursor":null}