Abdelhakim Benechehab

PhD student, Eurecom

PhD student, Huawei Technologies Ltd.

Joined

September 2022

Names

Abdelhakim Benechehab (Preferred)

Emails

****@gmail.com (Confirmed)

****@eurecom.fr (Confirmed)

****@huawei.com (Confirmed)

****@etu.sorbonne-universite.fr (Confirmed)

Personal Links

Google Scholar

Career & Education History

PhD student

Eurecom (eurecom.fr)

2023 – 2026

PhD student

Huawei Technologies Ltd. (huawei.com)

2023 – 2026

Intern

Huawei Technologies Ltd. (huawei.com)

2021 – 2022

MS student

Ecole Normale Superieure (ens-paris-saclay.fr)

2020 – 2021

Undergrad student

Ecole Nationale Supérieure des Mines de St-Etienne (emse.fr)

2018 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Giuseppe Paolo

2023 – 2026

PhD Advisor

Maurizio Filippone

2023 – 2026

Expertise

Reinforcement Learning

2020 – 2026

Publications

Embedding Distance as a Reward Signal can replace Verifiers for LLM Reasoning
Abdelhakim Benechehab, Youssef Attia El Hili, Albert Thomas, Giuseppe Paolo, Maurizio Filippone
- ICLR 2026 Workshop LLM Reasoning
- Readers: Everyone
From Data to Rewards: a Bi-level Optimization Perspective on Maximum Likelihood Estimation
Abdelhakim Benechehab, Gabriel Singer, Corentin Léger, Youssef Attia El Hili, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
- Submitted to ICLR 2026
- Readers: Everyone
LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection
Youssef Attia El Hili, Albert Thomas, Malik Tiomoko, Abdelhakim Benechehab, Corentin Léger, Corinne Ancourt, Balázs Kégl
- Submitted to ICLR 2026
- Readers: Everyone
In-Context Meta-Learning with Large Language Models for Automated Model and Hyperparameter Selection
Youssef Attia El Hili, Albert Thomas, Abdelhakim Benechehab, Corentin Léger, Corinne Ancourt, Balázs Kégl
- NeurIPS 2025 LLM Evaluation Workshop Poster
- Readers: Everyone
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
- SCOPE - ICLR 2025 Poster
- Readers: Everyone
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
- ICML 2025 poster
- Readers: Everyone
Zero-shot Model-based Reinforcement Learning using Large Language Models
Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
- ICLR 2025 Poster
- Readers: Everyone
Large Language Models as Markov Chains
Oussama Zekri, Ambroise Odonnat, Abdelhakim Benechehab, Linus Bleistein, Nicolas Boulle, Ievgen Redko
- Submitted to ICLR 2025
- Readers: Everyone
Can LLMs predict the convergence of Stochastic Gradient Descent?
Oussama Zekri, Abdelhakim Benechehab, Ievgen Redko
- ICML 2024 Workshop ICL Poster
- Readers: Everyone
A Study of the Weighted Multi-step Loss Impact on the Predictive Error and the Return in MBRL
Abdelhakim Benechehab, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Balázs Kégl
- RLC 2024 ICBINB Poster
- Readers: Everyone

View all 13 publications

Abdelhakim Benechehab

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors