Publications d'Istabrak Abbes

Istabrak Abbes

Domaines de recherche: Optimisation, Apprentissage continu et permanent
(Passage Accéléré de la Maîtrise)

Activité

Failed Reasoning Traces Tell You What Is Fixable (But Not by Reading Them)
Nizar Islah, Istabrak Abbes, Irina Rish, Sarath Chandar et Eilif B. Muller
In ArXiv, 2026.
#NLP
[arXiv]

What Does Layer-Importance Reveal About Transformers and State-Space Models?
Istabrak Abbes, Nizar Islah, Irina Rish et Sarath Chandar
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026.
#NLP, #DL
[arXiv]

Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models
Istabrak Abbes, Gopeshh Subbaraj, Matthew Riemer, Nizar Islah, Tsuguchika Tabaru, Hiroaki Kingetsu, Sarath Chandar et Irina Rish
Conference on Lifelong Learning Agents (CoLLAs), 2025.
#NLP, #DL
[pmlr], [arXiv], [code]
Small Encoders Can Rival Large Decoders in Detecting Groundedness
Istabrak Abbes, Gabriele Prato, Quentin Fournier, Fernando Rodriguez, Alaa Boukhary, Adam Elwood et Sarath Chandar
Findings of the Association for Computational Linguistics (ACL), 2025.
#NLP
[acl], [arXiv]