Andres Algaba

Orcid: 0000-0002-0532-3066

According to our database1, Andres Algaba authored at least 16 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Scalable Classification of Course Information Sheets Using Large Language Models: A Reusable Institutional Method for Academic Quality Assurance.
CoRR, March, 2026

Human-in-the-Loop LLM Grading for Handwritten Mathematics Assessments.
CoRR, March, 2026

Early Evidence of Vibe-Proving with Consumer LLMs: A Case Study on Spectral Region Characterization with ChatGPT-5.2 (Thinking).
CoRR, February, 2026

Probing the Trajectories of Reasoning Traces in Large Language Models.
CoRR, January, 2026

Structurally Human, Semantically Biased: Detecting LLM-Generated References with Embeddings and GNNs.
CoRR, January, 2026

Benchmarks Saturate When The Model Gets Smarter Than The Judge.
CoRR, January, 2026

2025
Estimating problem difficulty without ground truth using Large Language Model comparisons.
CoRR, December, 2025

Lexical Hints of Accuracy in LLM Reasoning Chains.
CoRR, August, 2025

Decision-centric fairness: Evaluation and optimization for resource allocation problems.
CoRR, April, 2025

How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?
CoRR, April, 2025

Flexible Counterfactual Explanations with Generative Models.
CoRR, February, 2025

The Relationship Between Reasoning and Performance in Large Language Models - o3 (mini) Thinks Harder, Not Longer.
CoRR, February, 2025

Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024
Dataset Artefacts are the Hidden Drivers of the Declining Disruptiveness in Science.
CoRR, 2024

2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness.
Proceedings of the Explainable Artificial Intelligence, 2023

LUCID: Exposing Algorithmic Bias through Inverse Design.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023


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