Copertina

Humans vs Large Language Models: Judgmental Forecasting in an Era of Advanced AI

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Abolghasemi, MAhdi, Ganbold, Odkhishig, Rotaru, Kristian
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
di: Zhou, Han, et al.
Pubblicazione: (2024)

Local vs. Global Models for Hierarchical Forecasting
di: Yingjie, Zhao, et al.
Pubblicazione: (2024)

Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgment
di: Sargeant, Holli, et al.
Pubblicazione: (2024)

Human-AI Co-Mentorship in Project-Based Learning: A Case Study in Financial Forecasting
di: Chawla, Freyaa, et al.
Pubblicazione: (2026)

Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model
di: Rahman, Salman, et al.
Pubblicazione: (2024)

AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy
di: Schoenegger, Philipp, et al.
Pubblicazione: (2024)

ELEVATE-GenAI: Reporting Guidelines for the Use of Large Language Models in Health Economics and Outcomes Research: an ISPOR Working Group on Generative AI Report
di: Fleurence, Rachael L., et al.
Pubblicazione: (2024)

Multidimensional Human Activity Recognition With Large Language Model: A Conceptual Framework
di: Hasan, Syed Mhamudul
Pubblicazione: (2024)

ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming
di: Tedeschi, Simone, et al.
Pubblicazione: (2024)

AppellateGen: A Benchmark for Appellate Legal Judgment Generation
di: Yang, Hongkun, et al.
Pubblicazione: (2026)

Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment
di: Borchers, Conrad, et al.
Pubblicazione: (2025)

LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites
di: Jiang, Lei, et al.
Pubblicazione: (2026)

In the Mood to Exclude: Revitalizing Trespass to Chattels in the Era of GenAI Scraping
di: Atkinson, David
Pubblicazione: (2025)

SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors
di: Hu, Tiancheng, et al.
Pubblicazione: (2025)

Large-Scale, Longitudinal Study of Large Language Models During the 2024 US Election Season
di: Cen, Sarah H., et al.
Pubblicazione: (2025)

Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?
di: Zakazov, Ivan, et al.
Pubblicazione: (2024)

Towards Modeling Learner Performance with Large Language Models
di: Neshaei, Seyed Parsa, et al.
Pubblicazione: (2024)

Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework
di: Alur, Rohan, et al.
Pubblicazione: (2024)

A Comprehensive Study of Implicit and Explicit Biases in Large Language Models
di: Kazi, Fatima, et al.
Pubblicazione: (2025)

Large Language Model Integrated Healthcare Cyber-Physical Systems Architecture
di: Kankanamge, Malithi Wanniarachchi, et al.
Pubblicazione: (2024)

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
di: Zhang, Yue, et al.
Pubblicazione: (2023)

Generative AI Meets Future Cities: Towards an Era of Autonomous Urban Intelligence
di: Wang, Dongjie, et al.
Pubblicazione: (2023)

A Human-Centric Approach to Explainable AI for Personalized Education
di: Swamy, Vinitra
Pubblicazione: (2025)

Rethinking Technological Readiness in the Era of AI Uncertainty
di: Browne, S. Tucker, et al.
Pubblicazione: (2025)

OpenCarbonEval: A Unified Carbon Emission Estimation Framework in Large-Scale AI Models
di: Yu, Zhaojian, et al.
Pubblicazione: (2024)

Protected group bias and stereotypes in Large Language Models
di: Kotek, Hadas, et al.
Pubblicazione: (2024)

Understanding Intrinsic Socioeconomic Biases in Large Language Models
di: Arzaghi, Mina, et al.
Pubblicazione: (2024)

Integrating the Expected Future in Load Forecasts with Contextually Enhanced Transformer Models
di: Theiler, Raffael, et al.
Pubblicazione: (2024)

Automated Assignment Grading with Large Language Models: Insights From a Bioinformatics Course
di: Poličar, Pavlin G., et al.
Pubblicazione: (2025)

Limits to Predicting Online Speech Using Large Language Models
di: Remeli, Mina, et al.
Pubblicazione: (2024)

Harnessing Large Language Models for Disaster Management: A Survey
di: Lei, Zhenyu, et al.
Pubblicazione: (2025)

Revealing Fine-Grained Values and Opinions in Large Language Models
di: Wright, Dustin, et al.
Pubblicazione: (2024)

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning
di: Gado, Elena Grazia, et al.
Pubblicazione: (2024)

Navigating AI Policy Landscapes: Insights into Human Rights Considerations Across IEEE Regions
di: John, Angel Mary, et al.
Pubblicazione: (2025)

AI Meets the Classroom: When Do Large Language Models Harm Learning?
di: Lehmann, Matthias, et al.
Pubblicazione: (2024)

Diagnosing Psychiatric Patients: Can Large Language and Machine Learning Models Perform Effectively in Emergency Cases?
di: Ahammed, Abu Shad, et al.
Pubblicazione: (2025)

From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models
di: Tang, Yihong, et al.
Pubblicazione: (2025)

Evaluating Large Language Model Capabilities in Assessing Spatial Econometrics Research
di: Arbia, Giuseppe, et al.
Pubblicazione: (2025)

Addressing Stereotypes in Large Language Models: A Critical Examination and Mitigation
di: Kazi, Fatima
Pubblicazione: (2025)

ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
di: Wei, Shou'ang, et al.
Pubblicazione: (2025)