Image de couverture de livre

Prediction-Powered Ranking of Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chatzi, Ivi, Straitouri, Eleni, Thejaswi, Suhas, Rodriguez, Manuel Gomez
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Computation and Language Computers and Society Human-Computer Interaction
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets
par: Straitouri, Eleni, et autres
Publié: (2024)

Towards Human-AI Complementarity with Prediction Sets
par: De Toni, Giovanni, et autres
Publié: (2024)

Evaluation of Large Language Models via Coupled Token Generation
par: Benz, Nina Corvelo, et autres
Publié: (2025)

Designing Decision Support Systems Using Counterfactual Prediction Sets
par: Straitouri, Eleni, et autres
Publié: (2023)

Narrowing Action Choices with AI Improves Human Sequential Decisions
par: Straitouri, Eleni, et autres
Publié: (2025)

Counterfactual Token Generation in Large Language Models
par: Chatzi, Ivi, et autres
Publié: (2024)

Learning to Decide with AI Assistance under Human-Alignment
par: Benz, Nina Corvelo, et autres
Publié: (2026)

Linear Representations of Political Perspective Emerge in Large Language Models
par: Kim, Junsol, et autres
Publié: (2025)

Can Large Language Models Unlock Novel Scientific Research Ideas?
par: Kumar, Sandeep, et autres
Publié: (2024)

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
par: Liang, Weixin
Publié: (2025)

Large Language Models Can Infer Personality from Free-Form User Interactions
par: Peters, Heinrich, et autres
Publié: (2024)

LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations
par: Ziche, Clara, et autres
Publié: (2024)

When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
par: Zheng, Mingqian, et autres
Publié: (2023)

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
par: Kıcıman, Emre, et autres
Publié: (2023)

Implicit Personalization in Language Models: A Systematic Study
par: Jin, Zhijing, et autres
Publié: (2024)

MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes
par: Chiu, Yu Ying, et autres
Publié: (2025)

Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users
par: Karamolegkou, Antonia, et autres
Publié: (2025)

Asking For It: Question-Answering for Predicting Rule Infractions in Online Content Moderation
par: Samory, Mattia, et autres
Publié: (2025)

Llms, Virtual Users, and Bias: Predicting Any Survey Question Without Human Data
par: Sinacola, Enzo, et autres
Publié: (2025)

Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
par: Chan, Samantha, et autres
Publié: (2024)

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
par: Si, Chenglei, et autres
Publié: (2024)

AI Meets the Classroom: When Do Large Language Models Harm Learning?
par: Lehmann, Matthias, et autres
Publié: (2024)

Communication Bias in Large Language Models: A Regulatory Perspective
par: Kuenzler, Adrian, et autres
Publié: (2025)

Large Language Models Can Infer Psychological Dispositions of Social Media Users
par: Peters, Heinrich, et autres
Publié: (2023)

Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI
par: Saha, Agnik, et autres
Publié: (2025)

Wordflow: Social Prompt Engineering for Large Language Models
par: Wang, Zijie J., et autres
Publié: (2024)

Benchmarking Gender and Political Bias in Large Language Models
par: Yang, Jinrui, et autres
Publié: (2025)

Heterogeneous Value Alignment Evaluation for Large Language Models
par: Zhang, Zhaowei, et autres
Publié: (2023)

ProgressGym: Alignment with a Millennium of Moral Progress
par: Qiu, Tianyi, et autres
Publié: (2024)

What are human values, and how do we align AI to them?
par: Klingefjord, Oliver, et autres
Publié: (2024)

The Good, the Bad, and the Ugly: The Role of AI Quality Disclosure in Lie Detection
par: Bhattacharya, Haimanti, et autres
Publié: (2024)

Properties and Challenges of LLM-Generated Explanations
par: Kunz, Jenny, et autres
Publié: (2024)

Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial
par: Chomutare, Taridzo, et autres
Publié: (2024)

Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study
par: Wolfe, Robert, et autres
Publié: (2024)

LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning
par: Wasi, Azmine Toushik, et autres
Publié: (2024)

EduAgent: Generative Student Agents in Learning
par: Xu, Songlin, et autres
Publié: (2024)

The opportunities and risks of large language models in mental health
par: Lawrence, Hannah R., et autres
Publié: (2024)

"They are uncultured": Unveiling Covert Harms and Social Threats in LLM Generated Conversations
par: Dammu, Preetam Prabhu Srikar, et autres
Publié: (2024)

MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance
par: Xu, Jia, et autres
Publié: (2025)

Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate
par: Ngueajio, Mikel K., et autres
Publié: (2025)