{"total":15,"rows":[{"id":"2408.15204","title":"Can Unconfident LLM Annotations Be Used for Confident Conclusions?","created":"2024-08-27","cited_by_count":49,"area":null},{"id":"2407.10747","title":"Codebook LLMs: Evaluating LLMs as Measurement Tools for Political Science Concepts","created":"2024-07-15","cited_by_count":30,"area":null},{"id":"2501.19098","title":"$\\infty$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation","created":"2025-01-31","cited_by_count":14,"area":null},{"id":"2503.23243","title":"Evaluating how LLM annotations represent diverse views on contentious topics","created":"2025-03-29","cited_by_count":6,"area":null},{"id":"2509.18293","title":"Evaluating Large Language Models for Detecting Antisemitism","created":"2025-09-22","cited_by_count":3,"area":null},{"id":"2501.14037","title":"Emotions, Context, and Substance Use in Adolescents: A Large Language Model Analysis of Reddit Posts","created":"2025-01-23","cited_by_count":2,"area":null},{"id":"2606.27687","title":"Mitigating LLM-based p-Hacking by Preregistering for the Next LLM","created":"2026-06-26","cited_by_count":2,"area":null},{"id":"2504.03822","title":"Arti-\"fickle\" Intelligence: Using LLMs as a Tool for Inference in the Political and Social Sciences","created":"2025-04-04","cited_by_count":1,"area":null},{"id":"2410.12622","title":"From Measurement Instruments to Data: Leveraging Theory-Driven Synthetic Training Data for Classifying Social Constructs","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2504.15392","title":"Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection","created":"2025-04-21","cited_by_count":0,"area":null},{"id":"2504.20469","title":"Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models","created":"2025-04-29","cited_by_count":0,"area":null},{"id":"2509.16464","title":"Computational Analysis of Conversation Dynamics through Participant Responsivity","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2603.26898","title":"Magic Words or Methodical Work? Challenging Conventional Wisdom in LLM-Based Political Text Annotation","created":"2026-03-27","cited_by_count":0,"area":null},{"id":"2607.04890","title":"Evaluating Large Language Models for Antisemitic Incident Classification","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2609.22133","title":"Observational Equivalence of LLM and Human Annotation","created":"2026-08-24","cited_by_count":0,"area":null}],"next_cursor":null}