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researcher

José Hernández-Orallo

15 papers hereh-index 592 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author8
  • last author6

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.AI8
  • cs.CL4
  • cs.LG2
  • cs.CY1
same name
  • José Hernández-Orallo — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most cited100 instances is all you need: predicting the success of a new LLM on unseen data by testing on a few instances

1 citations · 4 across the 13 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2026

From Human-Level AI Tales to AI Leveling Human Scales

Peter Romero, Fernando Martínez-Plumed, Zachary R. Tidler +11

Comparing AI models to "human level" is often misleading when benchmark scores are incommensurate or human baselines are drawn from a narrow population. To address this, we propose…

cs.LG2025

What should an AI assessor optimise for?

Daniel Romero-Alvarado, Fernando Martínez-Plumed, José Hernández-Orallo

An AI assessor is an external, ideally indepen-dent system that predicts an indicator, e.g., a loss value, of another AI system. Assessors can lever-age information from the test r…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.