Victor Rühle

According to our database, Victor Rühle authored at least 21 papers between 2020 and 2025.

Collaborative distances:

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

2025

Minerva: A Programmable Memory Test Benchmark for Language Models.

Menglin Xia, Victor Rühle, Saravan Rajmohan, Reza Shokri

CoRR, February, 2025

2024

TurboAttention: Efficient Attention Approximation For High Throughputs LLMs.

Hao Kang, Srikant Bharadwaj, James Hensman, Tushar Krishna, Victor Rühle, Saravan Rajmohan

CoRR, 2024

Ensuring Fair LLM Serving Amid Diverse Applications.

Redwan Ibne Seraj Khan, Kunal Jain, Haiying Shen, Ankur Mallick, Anjaly Parayil, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Renée St. Amant, Rujia Wang, Yue Cheng, Ali Raza Butt, Victor Rühle, Chetan Bansal, Saravan Rajmohan

CoRR, 2024

EcoAct: Economic Agent Determines When to Register What Action.

Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang

CoRR, 2024

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning.

Shivam Shandilya, Menglin Xia, Supriyo Ghosh, Huiqiang Jiang, Jue Zhang, Qianhui Wu, Victor Rühle

CoRR, 2024

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling.

Kunal Jain, Anjaly Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan

CoRR, 2024

Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers.

Rya Sanovar, Srikant Bharadwaj, Renée St. Amant, Victor Rühle, Saravan Rajmohan

CoRR, 2024

Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning.

Lu Wang, Mayukh Das, Fangkai Yang, Junjie Sheng, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CoRR, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction.

Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rühle

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.

Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Rühle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Unlocking Spatial Comprehension in Text-to-Image Diffusion Models.

Mohammad Mahdi Derakhshani, Menglin Xia, Harkirat Behl, Cees G. M. Snoek, Victor Rühle

CoRR, 2023

Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective.

Lukas Wutschitz, Boris Köpf, Andrew Paverd, Saravan Rajmohan, Ahmed Salem, Shruti Tople, Santiago Zanella-Béguelin, Menglin Xia, Victor Rühle

CoRR, 2023

Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance.

Xuchao Zhang, Menglin Xia, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rühle

CoRR, 2023

Bayesian Estimation of Differential Privacy.

Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones

Proceedings of the International Conference on Machine Learning, 2023

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs.

Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Spot Virtual Machine Eviction Prediction in Microsoft Cloud.

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Iñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2021

Privacy Regularization: Joint Privacy-Utility Optimization in Language Models.

Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim

CoRR, 2021

Privacy Analysis in Language Models via Training Data Leakage Report.

Huseyin A. Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, Robert Sim

CoRR, 2021

Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels.

Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Analyzing Information Leakage of Updates to Natural Language Models.

Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Victor Rühle, Andrew Paverd, Olga Ohrimenko, Boris Köpf, Marc Brockschmidt

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020