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David Camacho

8 papers hereh-index 220 citations12 works total

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

author position
  • middle author2
  • last author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.CV1
  • cs.MM1
same name
  • David Camacho — 17 papers, h 35
  • David Camacho — 8 papers, h 10
  • David Camacho — 5 papers, h 2
  • David Camacho — 3 papers, h 7
  • David Camacho — 2 papers, h 5
  • David Camacho — 1 paper, h 9

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
collaborators
Showing 2025 · cs.CLShow all

4 papers · 2 filters

cs.CL2025

One-shot Style Transfer LLM log-probabilities for Authorship Attribution and Verification

Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín +1

Computational stylometry studies writing style through quantitative textual patterns, enabling applications such as authorship attribution, identity linking, and plagiarism detecti…

cs.CL2025

Evaluating the Scalability and Adversarial Generalization of GRPO-Trained NLI Models

Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín +1

Natural Language Inference (NLI) is a central task in natural language understanding with applications in fact-checking, question answering, and information retrieval. Despite its…

cs.CL2025

On the locality bias and results in the Long Range Arena

Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín +1

The Long Range Arena (LRA) benchmark was designed to evaluate the performance of Transformer improvements and alternatives in long-range dependency modeling tasks. The Transformer…

cs.CL2025

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection

Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín +1

The rapid advancement in large language models (LLMs) has significantly enhanced their ability to generate coherent and contextually relevant text, raising concerns about the misus…

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