Amine Benhalloum

According to our database, Amine Benhalloum authored at least 9 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments.

Romain Froger, Pierre Andrews, Matteo Bettini, Amar Budhiraja, Ricardo Silveira Cabral, Virginie Do, Emilien Garreau, Jean-Baptiste Gaya, Hugo Laurençon, Maxime Lecanu, Kunal Malkan, Dheeraj Mekala, Pierre Ménard, Gerard Moreno-Torres Bertran, Ulyana Piterbarg, Mikhail Plekhanov, Mathieu Rita, Andrey Rusakov, Vladislav Vorotilov, Mengjue Wang, Ian Yu, Amine Benhalloum, Grégoire Mialon, Thomas Scialom

CoRR, February, 2026

2025

AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following.

Yun He, Wenzhe Li, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Xiaoliang Peng, Beibin Li, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Awadalla, Manaal Faruqui

CoRR, November, 2025

ARE: Scaling Up Agent Environments and Evaluations.

Pierre Andrews, Amine Benhalloum, Gerard Moreno-Torres Bertran, Matteo Bettini, Amar Budhiraja, Ricardo Silveira Cabral, Virginie Do, Romain Froger, Emilien Garreau, Jean-Baptiste Gaya, Hugo Laurençon, Maxime Lecanu, Kunal Malkan, Dheeraj Mekala, Pierre Ménard, Grégoire Mialon, Ulyana Piterbarg, Mikhail Plekhanov, Mathieu Rita, Andrey Rusakov, Thomas Scialom, Vladislav Vorotilov, Mengjue Wang, Ian Yu

CoRR, September, 2025

2023

Hyper-VolTran: Fast and Generalizable One-Shot Image to 3D Object Structure via HyperNetworks.

Christian Simon, Sen He, Juan-Manuel Pérez-Rúa, Mengmeng Xu, Amine Benhalloum, Tao Xiang

CoRR, 2023

2022

Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation.

Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile

CoRR, 2022

Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search.

Imad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Scalable representation learning and retrieval for display advertising.

Olivier Koch, Amine Benhalloum, Guillaume Genthial, Denis Kuzin, Dmitry Parfenchik

CoRR, 2021

2020

A Gentle Introduction to Recommendation as Counterfactual Policy Learning.

Flavian Vasile, David Rohde, Olivier Jeunen, Amine Benhalloum

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

2015

Trans-gram, Fast Cross-lingual Word-embeddings.

Jocelyn Coulmance, Jean-Marc Marty, Guillaume Wenzek, Amine Benhalloum

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015