Sim, Robert

18 publications

NeurIPS 2025 Contextual Integrity in LLMs via Reasoning and Reinforcement Learning Guangchen Lan, Huseyin A Inan, Sahar Abdelnabi, Janardhan Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher Brinton, Robert Sim

NeurIPS 2025 Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings Yehya Farhat, Hamza ElMokhtar Shili, Fangshuo Liao, Chen Dun, Mirian Del Carmen Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Dimitrios Dimitriadis, Anastasios Kyrillidis

AAAI 2025 Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation Chen Dun, Mirian del Carmen Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis

ICLR 2024 Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah

ICLR 2024 Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation Xinyu Tang, Richard Shin, Huseyin A Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim

ICLR 2024 Privately Aligning Language Models with Reinforcement Learning Fan Wu, Huseyin A Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim

NeurIPSW 2023 FedJETs: Efficient Just-in-Time Personalization with Federated Mixture of Experts Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis

CHIL 2023 Federated Multilingual Models for Medical Transcript Analysis Andrea Manoel, Mirian del Carmen Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Robert Sim, Dan Miller, Danny Karmon, Dimitrios Dimitriadis

NeurIPSW 2023 Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation Chen Dun, Mirian Del Carmen Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Anastasios Kyrillidis, Robert Sim

NeurIPSW 2022 FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations Mirian Del Carmen Hipolito Garcia, Andre Manoel, Daniel Diaz Madrigal, Robert Sim, Dimitrios Dimitriadis

IJCAI 2022 Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis

NeurIPSW 2021 Membership Inference Attacks Against NLP Classification Models Virat Shejwalkar, Huseyin A Inan, Amir Houmansadr, Robert Sim

AAAI 2004 Self-Organizing Visual Maps Robert Sim, Gregory Dudek

IJCAI 2003 Comparing Image-Based Localization Methods Robert Sim, Gregory Dudek

CVPR 2001 Learning Generative Models of Scene Features Robert Sim, Gregory Dudek

AAAI 2000 Learning Landmarks for Robot Localization Robert Sim, Gregory Dudek

ICCV 1999 Learning and Evaluating Visual Features for Pose Estimation Robert Sim, Gregory Dudek

AAAI 1997 Autonomous Exploration: An Integrated Systems Approach Marc Bolduc, Eric Bourque, Gregory Dudek, Nicholas Roy, Robert Sim