José Hernández-Orallo

About José Hernández-Orallo

José Hernández-Orallo, With an exceptional h-index of 50 and a recent h-index of 33 (since 2020), a distinguished researcher at Universidad Politécnica de València, specializes in the field of Artificial Intelligence, Data Science, Intelligence, AI Evaluation, Inductive Programming.

His recent articles reflect a diverse array of research interests and contributions to the field:

Foundational challenges in assuring alignment and safety of large language models

Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models

A Proposal for Scaling the Scaling Laws

Item Response Theory for Natural Language Processing

Team formation through an assessor: choosing MARL agents in pursuit–evasion games

When Redundancy Matters: Machine Teaching of Representations

Inferring Capabilities from Task Performance with Bayesian Triangulation

XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features

José Hernández-Orallo Information

University

Position

VRAIN Valencian Research Institute for Artificial Intelligence

Citations(all)

10047

Citations(since 2020)

5077

Cited By

6429

hIndex(all)

50

hIndex(since 2020)

33

i10Index(all)

129

i10Index(since 2020)

78

Email

University Profile Page

Google Scholar

José Hernández-Orallo Skills & Research Interests

Artificial Intelligence

Data Science

Intelligence

AI Evaluation

Inductive Programming

Top articles of José Hernández-Orallo

Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models

Journal of Artificial Intelligence Research

2023/6/12

A Proposal for Scaling the Scaling Laws

2024/3

Item Response Theory for Natural Language Processing

2024/3

Team formation through an assessor: choosing MARL agents in pursuit–evasion games

Complex & Intelligent Systems

2024/2/10

When Redundancy Matters: Machine Teaching of Representations

arXiv preprint arXiv:2401.12711

2024/1/23

Inferring Capabilities from Task Performance with Bayesian Triangulation

arXiv preprint arXiv:2309.11975

2023/9/21

XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features

2023/9/17

Training Data Scientists through Project-based Learning

IEEE RITA

2023/8/7

Fernando Martínez-Plumed
Fernando Martínez-Plumed

H-Index: 11

José Hernández-Orallo
José Hernández-Orallo

H-Index: 25

Revealing the structure of language model capabilities

arXiv preprint arXiv:2306.10062

2023/6/14

Dialectical language model evaluation: An initial appraisal of the commonsense spatial reasoning abilities of LLMs

arXiv preprint arXiv:2304.11164

2023/4/22

Rethink reporting of evaluation results in AI

Science

2023/4/14

Formacion de Científicos de Datos mediante Aprendizaje Basado en Proyectos

2023

Fernando Martínez-Plumed
Fernando Martínez-Plumed

H-Index: 11

José Hernández-Orallo
José Hernández-Orallo

H-Index: 25

An International Consortium for AI Risk Evaluations

2023

A framework for characterising evaluation instruments of AI performance

2023

José Hernández-Orallo
José Hernández-Orallo

H-Index: 25

Adversarial Benchmark Evaluation Rectified by Controlling for Difficulty

ECAI

2023

Fernando Martínez-Plumed
Fernando Martínez-Plumed

H-Index: 11

José Hernández-Orallo
José Hernández-Orallo

H-Index: 25

The IJCAI-23 joint workshop on artificial intelligence safety and safe reinforcement learning (AISafety-SafeRL2023)

2023

Your Prompt is My Command : On Assessing the Human-Centred Generality of Multimodal Models

Journal of Artificial Intelligence Research

2023

Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning

Sustainable Computing

2023

Fernando Martínez-Plumed
Fernando Martínez-Plumed

H-Index: 11

José Hernández-Orallo
José Hernández-Orallo

H-Index: 25

Animal-AI 3: What's New & Why You Should Care

arXiv preprint arXiv:2312.11414

2023/12/18

See List of Professors in José Hernández-Orallo University(Universidad Politécnica de València)

Co-Authors

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