Alfonso Amayuelas

According to our database1, Alfonso Amayuelas authored at least 19 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Planning to Explore: Curiosity-Driven Planning for LLM Test Generation.
CoRR, April, 2026

2025
LeMat-Synth: a multi-modal toolbox to curate broad synthesis procedure databases from scientific literature.
CoRR, October, 2025

Agents of Change: Self-Evolving LLM Agents for Strategic Planning.
CoRR, June, 2025

Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation.
CoRR, April, 2025

Self-Resource Allocation in Multi-Agent LLM Systems.
CoRR, April, 2025

Grounding LLM Reasoning with Knowledge Graphs.
CoRR, February, 2025

Investigating the Transferability of Code Repair for Low-Resource Programming Languages.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025


Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Game-theoretic LLM: Agent Workflow for Negotiation Games.
CoRR, 2024

DebUnc: Mitigating Hallucinations in Large Language Model Agent Communication with Uncertainty Estimations.
CoRR, 2024

DistiLRR: Transferring Code Repair for Low-Resource Programming Languages.
CoRR, 2024

Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models.
CoRR, 2023

2022
Neural Methods for Logical Reasoning over Knowledge Graphs.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021


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