Mahsa Amani

According to our database, Mahsa Amani authored at least 5 papers between 2023 and 2026.

Collaborative distances:

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

2026

To Call or Not to Call: A Framework to Assess and Optimize LLM Tool Calling.

Qinyuan Wu, Soumi Das, Mahsa Amani, Arijit Nag, Seungeon Lee, Krishna P. Gummadi, Abhilasha Ravichander, Muhammad Bilal Zafar

CoRR, May, 2026

In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations.

Mohammad Aflah Khan, Mahsa Amani, Soumi Das, Bishwamittra Ghosh, Qinyuan Wu, Krishna P. Gummadi, Manish Gupta, Abhilasha Ravichander

CoRR, February, 2026

2025

Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs.

Qinyuan Wu, Soumi Das, Mahsa Amani, Bishwamittra Ghosh, Mohammad Aflah Khan, Krishna P. Gummadi, Muhammad Bilal Zafar

CoRR, July, 2025

Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models.

Soumi Das, Camila Kolling, Mohammad Aflah Khan, Mahsa Amani, Bishwamittra Ghosh, Qinyuan Wu, Till Speicher, Krishna P. Gummadi

CoRR, February, 2025

2023

The Language Model, Resources, and Computational Pipelines for the Under-Resourced Iranian Azerbaijani.

Marzia Nouri, Mahsa Amani, Reihaneh Zohrabi, Ehsaneddin Asgari

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023