Hakim Sidahmed

11 papers A* 3Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Improving Neutral Point of View Text Generation through Parameter-Efficient Reinforcement Learning and a Small-Scale High-Quality Dataset. CoRR Jessica Hoffmann, Christiane Ahlheim, Zac Yu, Aria Walfrand, Jarvis Jin, Marie Tano, Ahmad Beirami, Erin van Liemt, Nithum Thain, Hakim Sidahmed, Lucas Dixon
2025	A*	`conf`	Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL. EMNLP Jessica Hoffmann, Christiane Ahlheim, Zac Yu, Aria Walfrand, Jarvis Jin, Marie Tano, Ahmad Beirami, Erin MacMurray van Liemt, Nithum Thain, Hakim Sidahmed, Lucas Dixon
2024	—	`conf`	Faithful Persona-based Conversational Dataset Generation with Large Language Models. ACL (Findings) Pegah Jandaghi, XiangHai Sheng, Xinyi Bai, Jay Pujara, Hakim Sidahmed
2024	J	`jnl`	PERL: Parameter Efficient Reinforcement Learning from Human Feedback. CoRR Hakim Sidahmed, Samrat Phatale, Alex Hutcheson, Zhuonan Lin, Zhang Chen, Zac Yu, Jarvis Jin, Roman Komarytsia, Christiane Ahlheim, Yonghao Zhu, Simral Chaudhary, Bowen Li, Saravanan Ganesh, Bill Byrne, Jessica Hoffmann, Hassan Mansoor, Wei Li, Abhinav Rastogi, Lucas Dixon
2023	J	`jnl`	Faithful Persona-based Conversational Dataset Generation with Large Language Models. CoRR Pegah Jandaghi, XiangHai Sheng, Xinyi Bai, Jay Pujara, Hakim Sidahmed
2023	J	`jnl`	Leveraging Large Language Models in Conversational Recommender Systems. CoRR Luke Friedman, Sameer Ahuja, David Allen, Zhenning Tan, Hakim Sidahmed, Changbo Long, Jun Xie, Gabriel Schubiner, Ajay Patel, Harsh Lara, Brian Chu, Zexi Chen, Manoj Tiwari
2021	J	`jnl`	Efficient and Private Federated Learning with Partially Trainable Networks. CoRR Hakim Sidahmed, Zheng Xu, Ankush Garg, Yuan Cao, Mingqing Chen
2021	A*	`conf`	Federated Reconstruction: Partially Local Federated Learning. NeurIPS Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, John Rush, Sushant Prakash
2021	J	`jnl`	Federated Reconstruction: Partially Local Federated Learning. CoRR Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, Keith Rush, Sushant Prakash
2020	A*	`conf`	Unsupervised Anomaly Detection for Self-flying Delivery Drones. ICRA Vikas Sindhwani, Hakim Sidahmed, Krzysztof Choromanski, Brandon Jones
2016	J	`jnl`	Discovering predictors of mental health service utilization with k-support regularized logistic regression. Inf. Sci. Hakim Sidahmed, Elena Prokofyeva, Matthew B. Blaschko