Discovering predictors of mental health service utilization with k-support regularized logistic regression. - Hakim Sidahmed; Elena Prokofyeva; Matthew B. Blaschko (Inf. Sci., 2016)

Unsupervised Anomaly Detection for Self-flying Delivery Drones. - Vikas Sindhwani; Hakim Sidahmed; Krzysztof Choromanski; Brandon Jones (ICRA, 2020)

Federated Reconstruction: Partially Local Federated Learning. - Karan Singhal; Hakim Sidahmed; Zachary Garrett; Shanshan Wu; John Rush; Sushant Prakash (NeurIPS, 2021)

Federated Reconstruction: Partially Local Federated Learning. - Karan Singhal; Hakim Sidahmed; Zachary Garrett; Shanshan Wu; Keith Rush; Sushant Prakash (CoRR, 2021)

Efficient and Private Federated Learning with Partially Trainable Networks. - Hakim Sidahmed; Zheng Xu 002; Ankush Garg; Yuan Cao; Mingqing Chen (CoRR, 2021)

Leveraging Large Language Models in Conversational Recommender Systems. - Luke Friedman; Sameer Ahuja; David Allen; Zhenning Tan; Hakim Sidahmed; Changbo Long; Jun Xie; Gabriel Schubiner; Ajay Patel; Harsh Lara; Brian Chu; Zexi Chen; et al. (CoRR, 2023)

Faithful Persona-based Conversational Dataset Generation with Large Language Models. - Pegah Jandaghi; XiangHai Sheng; Xinyi Bai; Jay Pujara; Hakim Sidahmed (ACL (Findings), 2024)

PERL: Parameter Efficient Reinforcement Learning from Human Feedback. - Hakim Sidahmed; Samrat Phatale; Alex Hutcheson; Zhuonan Lin; Zhang Chen; Zac Yu; Jarvis Jin; Roman Komarytsia; Christiane Ahlheim; Yonghao Zhu; Simral Chaudhary; Bowen Li; et al. (CoRR, 2024)

Improving Neutral Point of View Text Generation through Parameter-Efficient Reinforcement Learning and a Small-Scale High-Quality Dataset. - Jessica Hoffmann; Christiane Ahlheim; Zac Yu; Aria Walfrand; Jarvis Jin; Marie Tano; Ahmad Beirami; Erin van Liemt; Nithum Thain; Hakim Sidahmed; Lucas Dixon (CoRR, 2025)