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ORCIDTahseen Rabbani
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2020 – today
- 2025
[i18]Thierry Bossy, Julien Vignoud, Tahseen Rabbani, Juan Ramón Troncoso-Pastoriza, Martin Jaggi:
Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs. CoRR abs/2502.05087 (2025)- [i17]Fuheng Zhao, Jiayue Chen, Yiming Pan, Tahseen Rabbani, Divyakant Agrawal, Amr El Abbadi:
Access Paths for Efficient Ordering with Large Language Models. CoRR abs/2509.00303 (2025) - [i16]Mantas Mazeika, Alice Gatti, Cristina Menghini, Udari Madhushani Sehwag, Shivam Singhal, Yury Orlovskiy, Steven Basart, Manasi Sharma, Denis Peskoff, Elaine Lau, Jaehyuk Lim, Lachlan Carroll, Alice Blair, Vinaya Sivakumar, Sumana Basu, Brad Kenstler, Yuntao Ma, Julian Michael, Xiaoke Li, Oliver Ingebretsen, Aditya Mehta, Jean Mottola, John Teichmann, Kevin Yu, Zaina Shaik, Adam Khoja, Richard Ren, Jason Hausenloy, Long Phan, Ye Htet, Ankit Aich, Tahseen Rabbani, Vivswan Shah, Andriy Novykov, Felix Binder, Kirill Chugunov, Luis Ramirez, Matias Geralnik, Hernán Mesura, Dean Lee, Ed-Yeremai Hernandez-Cardona
, Annette Diamond, Summer Yue, Alexandr Wang, Bing Liu, Ernesto Hernandez, Dan Hendrycks:
Remote Labor Index: Measuring AI Automation of Remote Work. CoRR abs/2510.26787 (2025) - [i15]Manasi Sharma, Chen Bo Calvin Zhang, Chaithanya Bandi, Clinton Wang, Ankit Aich, Huy Nghiem, Tahseen Rabbani, Ye Htet, Brian Jang, Sumana Basu, Aishwarya Balwani, Denis Peskoff, Marcos Ayestaran, Sean M. Hendryx, Brad Kenstler, Bing Liu:
ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents. CoRR abs/2511.07685 (2025) - [i14]Afra Feyza Akyürek, Advait Gosai, Chen Bo Calvin Zhang, Vipul Gupta, Jaehwan Jeong, Anisha Gunjal, Tahseen Rabbani, Maria Mazzone, David Randolph, Mohammad Mahmoudi Meymand, Gurshaan Chattha, Paula Rodriguez, Diego Mares, Pavit Singh, Michael Liu, Subodh Chawla, Pete Cline, Lucy Ogaz, Ernesto Hernandez, Zihao Wang, Pavi Bhatter, Marcos Ayestaran, Bing Liu, Yunzhong He:
PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning. CoRR abs/2511.11562 (2025) - [i13]Julien Vignoud, Valérian Rousset, Hugo El Guedj, Ignacio Aleman, Walid Bennaceur, Batuhan Faik Derinbay, Eduard Durech, Damien Gengler, Lucas Giordano, Felix Grimberg, Franziska Lippoldt, Christina Kopidaki, Jiafan Liu, Lauris Lopata, Nathan Maire, Paul Mansat, Martin Milenkoski, Emmanuel Omont, Günes Özgün, Mina Petrovic, Francesco Posa, Morgan Ridel, Giorgio Savini, Marcel Torne, Lucas Trognon, Alyssa Unell, Olena Zavertiaieva, Sai Praneeth Karimireddy, Tahseen Rabbani, Mary-Anne Hartley, Martin Jaggi:
DISCO: A Browser-Based Privacy-Preserving Framework for Distributed Collaborative Learning. CoRR abs/2511.19750 (2025) - [i12]Minghui Liu, Aadi Palnitkar, Tahseen Rabbani, Hyunwoo Jae, Kyle Rui Sang, Dixi Yao, Shayan Shabihi, Fuheng Zhao, Tian Li, Ce Zhang, Furong Huang, Kunpeng Zhang:
Hold Onto That Thought: Assessing KV Cache Compression On Reasoning. CoRR abs/2512.12008 (2025) - 2024
- [b1]Tahseen Rabbani:
Efficient Models and Learning Strategies for Resource-Constrained Systems. University of Maryland, College Park, MD, USA, 2024 - [c8]Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang:
WAVES: Benchmarking the Robustness of Image Watermarks. ICML 2024: 1456-1492 - [c7]Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos:
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM). ICML 2024: 57871-57886 - [c6]Tahseen Rabbani, Kyle Sang, Furong Huang:
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise. ICPRAI (2) 2024: 466-475 - [i11]Tahseen Rabbani, Jiahao Su, Xiaoyu Liu, David Chan, Geoffrey Sangston, Furong Huang:
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks. CoRR abs/2401.03384 (2024) - [i10]Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang:
Benchmarking the Robustness of Image Watermarks. CoRR abs/2401.08573 (2024) - [i9]Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos:
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM). CoRR abs/2404.01568 (2024) - [i8]Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu, Brian J. Gravelle, Teresa M. Ranadive, Tai-Ching Tuan, Furong Huang:
Calibrated Dataset Condensation for Faster Hyperparameter Search. CoRR abs/2405.17535 (2024) - [i7]Mucong Ding, Tahseen Rabbani, Bang An, Evan Z. Wang, Furong Huang:
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. CoRR abs/2406.15575 (2024) - [i6]Kyle Sang, Tahseen Rabbani, Furong Huang:
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise. CoRR abs/2409.13235 (2024) - [i5]Minghui Liu, Tahseen Rabbani, Tony O'Halloran, Ananth Sankaralingam, Mary-Anne Hartley, Brian J. Gravelle, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos:
HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing. CoRR abs/2412.16187 (2024) - 2023
- [c5]Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang:
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. ICLR 2023 - [c4]Tahseen Rabbani, Marco Bornstein, Furong Huang:
Large-Scale Distributed Learning via Private On-Device LSH. NeurIPS 2023 - [i4]Tahseen Rabbani, Marco Bornstein, Furong Huang:
Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing. CoRR abs/2306.02563 (2023) - 2022
- [c3]Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang:
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. NeurIPS 2022 - [i3]Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit Singh Bedi, Furong Huang:
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. CoRR abs/2210.14026 (2022) - 2021
- [c2]Tahseen Rabbani, Apollo Jain, Arjun Rajkumar, Furong Huang:
Practical and Fast Momentum-Based Power Methods. MSML 2021: 721-756 - [i2]Tahseen Rabbani, Apollo Jain, Arjun Rajkumar, Furong Huang:
Practical and Fast Momentum-Based Power Methods. CoRR abs/2108.09264 (2021) - [i1]Tahseen Rabbani, Brandon Yushan Feng, Yifan Yang, Arjun Rajkumar, Amitabh Varshney, Furong Huang:
Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching. CoRR abs/2109.08346 (2021) - 2020
- [c1]Alexander Reustle, Tahseen Rabbani, Furong Huang:
Fast GPU Convolution for CP-Decomposed Tensorial Neural Networks. IntelliSys (1) 2020: 468-487
Coauthor Index
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