Arash Ahmadian

According to our database, Arash Ahmadian authored at least 17 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Subspace learning for feature selection via rank revealing QR factorization: Fast feature selection.

Amir Moslemi, Arash Ahmadian

Expert Syst. Appl., 2024

Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning.

Aakanksha, Arash Ahmadian, Seraphina Goldfarb-Tarrant, Beyza Ermis, Marzieh Fadaee, Sara Hooker

CoRR, 2024

Averaging log-likelihoods in direct alignment.

Nathan Grinsztajn, Yannis Flet-Berliac, Mohammad Gheshlaghi Azar, Florian Strub, Bill Wu, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Olivier Pietquin, Matthieu Geist

CoRR, 2024

Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion.

Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist

CoRR, 2024

Self-Improving Robust Preference Optimization.

Eugene Choi, Arash Ahmadian, Matthieu Geist, Olivier Pietquin, Mohammad Gheshlaghi Azar

CoRR, 2024

Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning.

Ted Zadouri, Ahmet Üstün, Arash Ahmadian, Beyza Ermis, Acyr Locatelli, Sara Hooker

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion.

Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Bill Wu, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs.

John Dang, Arash Ahmadian, Kelly Marchisio, Julia Kreutzer, Ahmet Üstün, Sara Hooker

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm.

Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs.

Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Dual regularized subspace learning using adaptive graph learning and rank constraint: Unsupervised feature selection on gene expression microarray datasets.

Amir Moslemi, Arash Ahmadian

Comput. Biol. Medicine, December, 2023

Subspace learning using structure learning and non-convex regularization: Hybrid technique with mushroom reproduction optimization in gene selection.

Amir Moslemi, Mahdi Bidar, Arash Ahmadian

Comput. Biol. Medicine, September, 2023

λ-AC: Learning latent decision-aware models for reinforcement learning in continuous state-spaces.

Claas Voelcker, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand

CoRR, 2023

Intriguing Properties of Quantization at Scale.

Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker

CoRR, 2023

Intriguing Properties of Quantization at Scale.

Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Zhen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pseudo-Inverted Bottleneck Convolution for Darts Search Space.

Arash Ahmadian, Louis S. P. Liu, Yue Fei, Konstantinos N. Plataniotis, Mahdi S. Hosseini

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Subspace Learning for Feature Selection via Rank Revealing QR Factorization: Unsupervised and Hybrid Approaches with Non-negative Matrix Factorization and Evolutionary Algorithm.

Amir Moslemi, Arash Ahmadian

CoRR, 2022