{"total":38,"rows":[{"id":"2403.00811","title":"Cognitive Bias in Decision-Making with LLMs","created":"2024-02-25","cited_by_count":106,"area":null},{"id":"2309.09128","title":"ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing","created":"2023-09-17","cited_by_count":88,"area":null},{"id":"2402.01383","title":"LLM-based NLG Evaluation: Current Status and Challenges","created":"2024-02-02","cited_by_count":73,"area":null},{"id":"2309.15337","title":"Beyond the Chat: Executable and Verifiable Text-Editing with LLMs","created":"2023-09-27","cited_by_count":35,"area":null},{"id":"2402.15350","title":"Farsight: Fostering Responsible AI Awareness During AI Application Prototyping","created":"2024-02-23","cited_by_count":28,"area":null},{"id":"2406.18841","title":"Navigating LLM Ethics: Advancements, Challenges, and Future Directions","created":"2024-05-14","cited_by_count":28,"area":null},{"id":"2504.18838","title":"Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks","created":"2025-04-26","cited_by_count":28,"area":null},{"id":"2407.19098","title":"Evaluating Human-AI Collaboration: A Review and Methodological Framework","created":"2024-07-09","cited_by_count":27,"area":null},{"id":"2409.16022","title":"AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment","created":"2024-09-24","cited_by_count":20,"area":null},{"id":"2402.01705","title":"Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation","created":"2024-01-25","cited_by_count":17,"area":null},{"id":"2406.07212","title":"Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models","created":"2024-06-11","cited_by_count":16,"area":null},{"id":"2307.09579","title":"Understanding Multi-Turn Toxic Behaviors in Open-Domain Chatbots","created":"2023-07-14","cited_by_count":15,"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},{"id":"2404.17047","title":"Near to Mid-term Risks and Opportunities of Open-Source Generative AI","created":"2024-04-25","cited_by_count":13,"area":null},{"id":"2405.08597","title":"Risks and Opportunities of Open-Source Generative AI","created":"2024-05-14","cited_by_count":13,"area":null},{"id":"2401.04122","title":"From Prompt Engineering to Prompt Science With Human in the Loop","created":"2024-01-01","cited_by_count":12,"area":null},{"id":"2402.09334","title":"AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach","created":"2024-02-14","cited_by_count":11,"area":null},{"id":"2403.06009","title":"Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations","created":"2024-03-09","cited_by_count":10,"area":null},{"id":"2310.09668","title":"Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs","created":"2023-10-14","cited_by_count":9,"area":null},{"id":"2402.09346","title":"LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop","created":"2024-02-14","cited_by_count":8,"area":null},{"id":"2305.14384","title":"Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models","created":"2023-05-22","cited_by_count":7,"area":null},{"id":"2311.06864","title":"Understanding Practices around Computational News Discovery Tools in the Domain of Science Journalism","created":"2023-11-12","cited_by_count":7,"area":null},{"id":"2403.04931","title":"A Survey on Human-AI Collaboration with Large Foundation Models","created":"2024-03-07","cited_by_count":7,"area":null},{"id":"2507.03194","title":"Quantifying Cognitive Bias Induction in LLM-Generated Content","created":"2025-07-03","cited_by_count":7,"area":null},{"id":"2310.01297","title":"Co-audit: tools to help humans double-check AI-generated content","created":"2023-10-02","cited_by_count":5,"area":null},{"id":"2408.01458","title":"Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance","created":"2024-07-26","cited_by_count":4,"area":null},{"id":"2410.01064","title":"Truth or Deceit? A Bayesian Decoding Game Enhances Consistency and Reliability","created":"2024-10-01","cited_by_count":3,"area":null},{"id":"2605.16198","title":"Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems","created":"2026-05-15","cited_by_count":3,"area":null},{"id":"2306.05036","title":"Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at Scale","created":"2023-06-08","cited_by_count":2,"area":null},{"id":"2405.18632","title":"Large Language Models as Partners in Student Essay Evaluation","created":"2024-05-28","cited_by_count":1,"area":null},{"id":"2407.02432","title":"Evaluating the Robustness of Adverse Drug Event Classification Models Using Templates","created":"2024-07-02","cited_by_count":1,"area":null},{"id":"2409.02569","title":"More is More: Addition Bias in Large Language Models","created":"2024-09-04","cited_by_count":1,"area":null},{"id":"2410.09564","title":"Extended Japanese Commonsense Morality Dataset with Masked Token and Label Enhancement","created":"2024-10-12","cited_by_count":1,"area":null},{"id":"2410.19812","title":"Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models","created":"2024-10-17","cited_by_count":1,"area":null},{"id":"2505.18425","title":"Advertising in AI systems: Society must be vigilant","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2602.00405","title":"RobustDebias: Debiasing Language Models using Distributionally Robust Optimization","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2607.01313","title":"Black-Box Inference of LLM Architectural Properties with Restrictive API Access","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2608.07688","title":"IntelliAudit: Using Large Language Models to Evaluate Audit Controls","created":"2026-08-07","cited_by_count":0,"area":null}],"next_cursor":null}