Maryam Hashemzadeh

According to our database, Maryam Hashemzadeh authored at least 8 papers between 2017 and 2026.

Collaborative distances:

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

2026

Probabilistic Calibration Is a Trainable Capability in Language Models.

Davide Baldelli, Sruthi Kuriakose, Maryam Hashemzadeh, Amal Zouaq, Sarath Chandar

CoRR, May, 2026

REAM: Merging Improves Pruning of Experts in LLMs.

Saurav Jha, Maryam Hashemzadeh, Ali Saheb Pasand, Ali Parviz, Min-Joong Lee, Boris Knyazev

CoRR, April, 2026

2024

Sub-goal Distillation: A Method to Improve Small Language Agents.

Maryam Hashemzadeh, Elias Stengel-Eskin, Sarath Chandar, Marc-Alexandre Côté

Proceedings of the Conference on Lifelong Learning Agents, 2024

2020

Clustering subspace generalization to obtain faster reinforcement learning.

Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmadabadi

Evol. Syst., 2020

From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli?

Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe

CoRR, 2020

From Language to Language-ish: How Brain-Like is an LSTM's Representation of Atypical Language Stimuli?

Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Exploiting Generalization in the Subspaces for Faster Model-Based Reinforcement Learning.

Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmadabadi

IEEE Trans. Neural Networks Learn. Syst., 2019

2017

Exploiting generalization in the subspaces for faster model-based learning.

Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmadabadi

CoRR, 2017