{"total":464,"rows":[{"id":"2307.03109","title":"A Survey on Evaluation of Large Language Models","created":"2023-07-06","cited_by_count":1242,"area":null},{"id":"2310.11324","title":"Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting","created":"2023-10-17","cited_by_count":817,"area":null},{"id":"2308.10620","title":"Large Language Models for Software Engineering: A Systematic Literature Review","created":"2023-08-21","cited_by_count":399,"area":null},{"id":"2401.01313","title":"A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models","created":"2024-01-02","cited_by_count":269,"area":null},{"id":"2311.04934","title":"Prompt Cache: Modular Attention Reuse for Low-Latency Inference","created":"2023-11-07","cited_by_count":268,"area":null},{"id":"2402.05201","title":"The Effect of Sampling Temperature on Problem Solving in Large Language Models","created":"2024-02-07","cited_by_count":170,"area":null},{"id":"2304.01852","title":"Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models","created":"2023-04-04","cited_by_count":154,"area":null},{"id":"2303.11032","title":"DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4","created":"2023-03-20","cited_by_count":130,"area":null},{"id":"2406.02630","title":"AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways","created":"2024-06-04","cited_by_count":127,"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":"2304.00612","title":"Eight Things to Know about Large Language Models","created":"2023-04-02","cited_by_count":73,"area":null},{"id":"2310.14735","title":"Unleashing the potential of prompt engineering for large language models","created":"2023-10-23","cited_by_count":72,"area":null},{"id":"2310.04793","title":"FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets","created":"2023-10-07","cited_by_count":69,"area":null},{"id":"2310.09263","title":"Table-GPT: Table-tuned GPT for Diverse Table Tasks","created":"2023-10-13","cited_by_count":69,"area":null},{"id":"2303.07839","title":"ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design","created":"2023-03-11","cited_by_count":66,"area":null},{"id":"2304.07333","title":"The Self-Perception and Political Biases of ChatGPT","created":"2023-04-14","cited_by_count":66,"area":null},{"id":"2404.15845","title":"Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation","created":"2024-04-24","cited_by_count":63,"area":null},{"id":"2401.14484","title":"Design Principles for Generative AI Applications","created":"2024-01-25","cited_by_count":57,"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":"2402.17385","title":"Determinants of LLM-assisted Decision-Making","created":"2024-02-27","cited_by_count":56,"area":null},{"id":"2304.06488","title":"One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era","created":"2023-04-04","cited_by_count":55,"area":null},{"id":"2304.14670","title":"Prompt Engineering for Healthcare: Methodologies and Applications","created":"2023-04-28","cited_by_count":52,"area":null},{"id":"2304.01938","title":"Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics","created":"2023-04-01","cited_by_count":49,"area":null},{"id":"2305.11430","title":"TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks","created":"2023-05-19","cited_by_count":49,"area":null},{"id":"2312.16171","title":"Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4","created":"2023-12-26","cited_by_count":48,"area":null},{"id":"2409.00265","title":"Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction","created":"2024-08-30","cited_by_count":46,"area":null},{"id":"2403.01509","title":"Fantastic Semantics and Where to Find Them: Investigating Which Layers of Generative LLMs Reflect Lexical Semantics","created":"2024-03-03","cited_by_count":44,"area":null},{"id":"2305.14752","title":"A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification","created":"2023-05-24","cited_by_count":42,"area":null},{"id":"2306.07075","title":"Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence","created":"2023-06-12","cited_by_count":42,"area":null},{"id":"2308.02053","title":"The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations","created":"2023-08-03","cited_by_count":41,"area":null},{"id":"2309.15847","title":"Disinformation Detection: An Evolving Challenge in the Age of LLMs","created":"2023-09-25","cited_by_count":41,"area":null},{"id":"2402.14531","title":"Should We Respect LLMs? A Cross-Lingual Study on the Influence of Prompt Politeness on LLM Performance","created":"2024-02-22","cited_by_count":41,"area":null},{"id":"2307.10234","title":"SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning","created":"2023-07-16","cited_by_count":38,"area":null},{"id":"2308.07610","title":"Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies","created":"2023-08-15","cited_by_count":38,"area":null},{"id":"2403.16218","title":"CoverUp: Effective High Coverage Test Generation for Python","created":"2024-03-24","cited_by_count":38,"area":null},{"id":"2305.14976","title":"GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP","created":"2023-05-24","cited_by_count":37,"area":null},{"id":"2311.07230","title":"How are Prompts Different in Terms of Sensitivity?","created":"2023-11-13","cited_by_count":35,"area":null},{"id":"2307.02192","title":"The FormAI Dataset: Generative AI in Software Security Through the Lens of Formal Verification","created":"2023-07-05","cited_by_count":34,"area":null},{"id":"2402.13521","title":"Test-Driven Development for Code Generation","created":"2024-02-21","cited_by_count":34,"area":null},{"id":"2407.07064","title":"Prompting Techniques for Secure Code Generation: A Systematic Investigation","created":"2024-07-09","cited_by_count":34,"area":null},{"id":"2405.14191","title":"S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models","created":"2024-05-23","cited_by_count":33,"area":null},{"id":"2405.20305","title":"Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models","created":"2024-05-30","cited_by_count":33,"area":null},{"id":"2306.05480","title":"Artificial General Intelligence for Medical Imaging Analysis","created":"2023-06-08","cited_by_count":32,"area":null},{"id":"2405.13769","title":"Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story Evaluation","created":"2024-05-22","cited_by_count":32,"area":null},{"id":"2308.03921","title":"Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Prompts","created":"2023-08-07","cited_by_count":30,"area":null},{"id":"2308.14321","title":"Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study","created":"2023-08-28","cited_by_count":30,"area":null},{"id":"2312.00029","title":"Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework","created":"2023-11-16","cited_by_count":30,"area":null},{"id":"2409.13724","title":"Logically Consistent Language Models via Neuro-Symbolic Integration","created":"2024-09-09","cited_by_count":30,"area":null},{"id":"2306.05524","title":"On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing","created":"2023-06-07","cited_by_count":27,"area":null},{"id":"2406.03505","title":"Dynamic and Adaptive Feature Generation with LLM","created":"2024-06-04","cited_by_count":27,"area":null},{"id":"2312.00678","title":"The Efficiency Spectrum of Large Language Models: An Algorithmic Survey","created":"2023-12-01","cited_by_count":26,"area":null},{"id":"2402.11406","title":"Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection","created":"2024-02-18","cited_by_count":25,"area":null},{"id":"2403.04814","title":"Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks","created":"2024-03-07","cited_by_count":25,"area":null},{"id":"2408.04638","title":"Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective","created":"2024-07-30","cited_by_count":25,"area":null},{"id":"2410.15319","title":"Causality for Large Language Models","created":"2024-10-20","cited_by_count":25,"area":null},{"id":"2308.04076","title":"DataTales: Investigating the use of Large Language Models for Authoring Data-Driven Articles","created":"2023-08-08","cited_by_count":24,"area":null},{"id":"2308.14120","title":"Large Language Models Streamline Automated Machine Learning for Clinical Studies","created":"2023-08-27","cited_by_count":24,"area":null},{"id":"2403.06949","title":"Materials science in the era of large language models: a perspective","created":"2024-03-11","cited_by_count":24,"area":null},{"id":"2404.07584","title":"UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs","created":"2024-04-11","cited_by_count":24,"area":null},{"id":"2404.18353","title":"How secure is AI-generated Code: A Large-Scale Comparison of Large Language Models","created":"2024-04-29","cited_by_count":24,"area":null},{"id":"2407.06025","title":"iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement","created":"2024-07-08","cited_by_count":23,"area":null},{"id":"2309.10544","title":"Model Leeching: An Extraction Attack Targeting LLMs","created":"2023-09-19","cited_by_count":22,"area":null},{"id":"2404.09554","title":"Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda","created":"2024-04-15","cited_by_count":22,"area":null},{"id":"2306.02207","title":"SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts","created":"2023-06-03","cited_by_count":21,"area":null},{"id":"2309.10092","title":"Conformal Temporal Logic Planning using Large Language Models","created":"2023-09-18","cited_by_count":21,"area":null},{"id":"2310.13127","title":"Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models","created":"2023-10-19","cited_by_count":21,"area":null},{"id":"2407.04118","title":"MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization","created":"2024-07-04","cited_by_count":21,"area":null},{"id":"2307.03817","title":"Exploring and Characterizing Large Language Models For Embedded System Development and Debugging","created":"2023-07-07","cited_by_count":20,"area":null},{"id":"2309.03613","title":"Evaluating ChatGPT as a Recommender System: A Rigorous Approach","created":"2023-09-07","cited_by_count":20,"area":null},{"id":"2407.11852","title":"Schema Matching with Large Language Models: an Experimental Study","created":"2024-07-16","cited_by_count":20,"area":null},{"id":"2309.08008","title":"An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing","created":"2023-09-14","cited_by_count":19,"area":null},{"id":"2311.05842","title":"AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems","created":"2023-11-10","cited_by_count":19,"area":null},{"id":"2402.15265","title":"CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models","created":"2024-02-23","cited_by_count":19,"area":null},{"id":"2406.04687","title":"LogiCode: an LLM-Driven Framework for Logical Anomaly Detection","created":"2024-06-07","cited_by_count":19,"area":null},{"id":"2409.12447","title":"Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts","created":"2024-09-19","cited_by_count":19,"area":null},{"id":"2303.07142","title":"Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification","created":"2023-03-13","cited_by_count":18,"area":null},{"id":"2307.14107","title":"Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions","created":"2023-07-26","cited_by_count":18,"area":null},{"id":"2312.07044","title":"Large Foundation Models for Power Systems","created":"2023-12-12","cited_by_count":18,"area":null},{"id":"2508.19764","title":"Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance","created":"2025-08-27","cited_by_count":18,"area":null},{"id":"2304.12512","title":"Semantic Compression With Large Language Models","created":"2023-04-25","cited_by_count":17,"area":null},{"id":"2305.14244","title":"Federated Prompt Learning for Weather Foundation Models on Devices","created":"2023-05-23","cited_by_count":17,"area":null},{"id":"2307.16364","title":"Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators","created":"2023-07-31","cited_by_count":17,"area":null},{"id":"2309.13734","title":"Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification","created":"2023-09-24","cited_by_count":17,"area":null},{"id":"2406.10300","title":"Large Language Models as Software Components: A Taxonomy for LLM-Integrated Applications","created":"2024-06-13","cited_by_count":17,"area":null},{"id":"2410.08601","title":"StraGo: Harnessing Strategic Guidance for Prompt Optimization","created":"2024-10-11","cited_by_count":17,"area":null},{"id":"2308.03051","title":"TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties","created":"2023-08-06","cited_by_count":16,"area":null},{"id":"2408.09121","title":"Selective Prompt Anchoring for Code Generation","created":"2024-08-17","cited_by_count":16,"area":null},{"id":"2306.17103","title":"LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT","created":"2023-06-29","cited_by_count":15,"area":null},{"id":"2412.04237","title":"VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction","created":"2024-12-05","cited_by_count":15,"area":null},{"id":"2504.07137","title":"Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering","created":"2025-04-07","cited_by_count":15,"area":null},{"id":"2510.06124","title":"Taxonomy of User Needs and Actions","created":"2025-10-07","cited_by_count":15,"area":null},{"id":"2306.13679","title":"GPT-Based Models Meet Simulation: How to Efficiently Use Large-Scale Pre-Trained Language Models Across Simulation Tasks","created":"2023-06-21","cited_by_count":14,"area":null},{"id":"2309.14517","title":"Watch Your Language: Investigating Content Moderation with Large Language Models","created":"2023-09-25","cited_by_count":14,"area":null},{"id":"2309.17447","title":"A Large Language Model Approach to Educational Survey Feedback Analysis","created":"2023-09-29","cited_by_count":14,"area":null},{"id":"2405.01249","title":"Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices","created":"2024-05-02","cited_by_count":14,"area":null},{"id":"2410.13153","title":"Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings","created":"2024-10-17","cited_by_count":14,"area":null},{"id":"2410.19135","title":"PDL: A Declarative Prompt Programming Language","created":"2024-10-24","cited_by_count":14,"area":null},{"id":"2304.08103","title":"Low-code LLM: Graphical User Interface over Large Language Models","created":"2023-04-17","cited_by_count":13,"area":null},{"id":"2401.01269","title":"LLbezpeky: Leveraging Large Language Models for Vulnerability Detection","created":"2024-01-02","cited_by_count":13,"area":null},{"id":"2402.05650","title":"Rocks Coding, Not Development--A Human-Centric, Experimental Evaluation of LLM-Supported SE Tasks","created":"2024-02-08","cited_by_count":13,"area":null}],"next_cursor":"100"}