Victor Rühle - RankMe

47 papers A* 6Journal 31Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research. CoRR Zhuofan Shi, Ming Ma, Zekun Yao, Fangkai Yang, Jue Zhang, Dongge Han, Victor Rühle, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
2026	J	`jnl`	Budget-Aware Agentic Routing via Boundary-Guided Training. CoRR Caiqi Zhang, Menglin Xia, Xuchao Zhang, Daniel Madrigal, Ankur Mallick, Samuel Kessler, Victor Rühle, Saravan Rajmohan
2026	A*	`conf`	Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth. WWW Helia Hashemi, Victor Rühle, Saravan Rajmohan
2026	J	`jnl`	Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity. CoRR Menglin Xia, Xuchao Zhang, Shantanu Dixit, Paramaguru Harimurugan, Rujia Wang, Victor Rühle, Robert Sim, Chetan Bansal, Saravan Rajmohan
2025	J	`jnl`	Analog optical computer for AI inference and combinatorial optimization. Nat. Kirill P. Kalinin, Jannes Gladrow, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Douglas J. Kelly, Babak Rahmani, Grace Brennan, Burcu Canakci, Fabian Falck, Michael Hansen, Jim Kleewein, Heiner Kremer, Greg O'Shea, Lucinda Pickup, Saravan Rajmohan, Antony I. T. Rowstron, Victor Rühle, Lee Braine, Shrirang Khedekar, Natalia G. Berloff, Christos Gkantsidis, Francesca Parmigiani, Hitesh Ballani
2025	A*	`conf`	BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute. ICML Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rühle
2025	J	`jnl`	BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute. CoRR Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rühle
2025	J	`jnl`	Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth. CoRR Helia Hashemi, Victor Rühle, Saravan Rajmohan
2025	J	`jnl`	Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search. CoRR Dongge Han, Menglin Xia, Daniel Madrigal Díaz, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian del Carmen Hipolito Garcia, Jin Xu, Victor Rühle, Saravan Rajmohan
2025	J	`jnl`	Exploring How LLMs Capture and Represent Domain-Specific Knowledge. CoRR Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal Díaz, Ankur Mallick, Anastasios Kyrillidis, Robert Sim, Victor Rühle, Saravan Rajmohan
2025	J	`jnl`	LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation. CoRR Dongge Han, Camille Couturier, Daniel Madrigal Díaz, Xuchao Zhang, Victor Rühle, Saravan Rajmohan
2025	—	`conf`	LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers. MLSys Rya Sanovar, Srikant Bharadwaj, Renée St. Amant, Victor Rühle, Saravan Rajmohan
2025	A*	`conf`	Minerva: A Programmable Memory Test Benchmark for Language Models. ICML Menglin Xia, Victor Rühle, Saravan Rajmohan, Reza Shokri
2025	J	`jnl`	Minerva: A Programmable Memory Test Benchmark for Language Models. CoRR Menglin Xia, Victor Rühle, Saravan Rajmohan, Reza Shokri
2025	J	`jnl`	OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows. CoRR Weixuan Wang, Dongge Han, Daniel Madrigal Díaz, Jin Xu, Victor Rühle, Saravan Rajmohan
2025	—	`conf`	Performance Aware LLM Load Balancer for Mixed Workloads. EuroMLSys 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
2025	—	`conf`	ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In the Cloud. MLSys Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2025	J	`jnl`	SAGESERVE: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling. Proc. ACM Meas. Anal. Comput. Syst. Shashwat Jaiswal, Kunal Jain, Yogesh Simmhan, Anjaly Parayil, Ankur Mallick, Rujia Wang, Renée St. Amant, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan
2025	J	`jnl`	Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models. CoRR Camille Couturier, Spyros Mastorakis, Haiying Shen, Saravan Rajmohan, Victor Rühle
2025	J	`jnl`	Serving Heterogeneous LoRA Adapters in Distributed LLM Inference Systems. CoRR Shashwat Jaiswal, Shrikara Arun, Anjaly Parayil, Ankur Mallick, Spyros Mastorakis, Alind Khare, Chloe Alverti, Renée St. Amant, Chetan Bansal, Victor Rühle, Josep Torrellas
2025	J	`jnl`	Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale. CoRR Shashwat Jaiswal, Kunal Jain, Yogesh Simmhan, Anjaly Parayil, Ankur Mallick, Rujia Wang, Renée St. Amant, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan
2025	—	`conf`	TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning. ACL (Findings) Shivam Shandilya, Menglin Xia, Supriyo Ghosh, Huiqiang Jiang, Jue Zhang, Qianhui Wu, Victor Rühle, Saravan Rajmohan
2025	J	`jnl`	Towards Active Synthetic Data Generation for Finetuning Language Models. CoRR Samuel Kessler, Menglin Xia, Daniel Madrigal Díaz, Dongge Han, Helia Heshemi, Saravan Rajmohan, Victor Rühle, Jordan T. Ash
2025	—	`conf`	TurboAttention: Efficient attention approximation for high throughputs llm. MLSys Hao Kang, Srikant Bharadwaj, James Hensman, Tushar Krishna, Victor Rühle, Saravan Rajmohan
2024	J	`jnl`	EcoAct: Economic Agent Determines When to Register What Action. CoRR Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang
2024	J	`jnl`	Ensuring Fair LLM Serving Amid Diverse Applications. CoRR 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
2024	A*	`conf`	Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. ICLR Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah
2024	J	`jnl`	Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. CoRR Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah
2024	—	`conf`	Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction. EMNLP (Industry Track) Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rühle
2024	J	`jnl`	Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling. CoRR 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
2024	—	`conf`	LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. ACL (Findings) 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
2024	J	`jnl`	LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. CoRR 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
2024	J	`jnl`	Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers. CoRR Rya Sanovar, Srikant Bharadwaj, Renée St. Amant, Victor Rühle, Saravan Rajmohan
2024	J	`jnl`	Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. CoRR 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
2024	J	`jnl`	TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning. CoRR Shivam Shandilya, Menglin Xia, Supriyo Ghosh, Huiqiang Jiang, Jue Zhang, Qianhui Wu, Victor Rühle
2024	J	`jnl`	TurboAttention: Efficient Attention Approximation For High Throughputs LLMs. CoRR Hao Kang, Srikant Bharadwaj, James Hensman, Tushar Krishna, Victor Rühle, Saravan Rajmohan
2023	A*	`conf`	Bayesian Estimation of Differential Privacy. ICML Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
2023	J	`jnl`	Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance. CoRR Xuchao Zhang, Menglin Xia, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rühle
2023	J	`jnl`	Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective. CoRR Lukas Wutschitz, Boris Köpf, Andrew Paverd, Saravan Rajmohan, Ahmed Salem, Shruti Tople, Santiago Zanella-Béguelin, Menglin Xia, Victor Rühle
2023	—	`conf`	Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. ASPLOS (3) 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
2023	J	`jnl`	Unlocking Spatial Comprehension in Text-to-Image Diffusion Models. CoRR Mohammad Mahdi Derakhshani, Menglin Xia, Harkirat Behl, Cees G. M. Snoek, Victor Rühle
2022	J	`jnl`	Bayesian Estimation of Differential Privacy. CoRR Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
2022	—	`conf`	Spot Virtual Machine Eviction Prediction in Microsoft Cloud. WWW (Companion Volume) 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
2021	J	`jnl`	Privacy Analysis in Language Models via Training Data Leakage Report. CoRR Huseyin A. Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, Robert Sim
2021	J	`jnl`	Privacy Regularization: Joint Privacy-Utility Optimization in Language Models. CoRR Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
2021	—	`conf`	Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels. NAACL-HLT Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
2020	A*	`conf`	Analyzing Information Leakage of Updates to Natural Language Models. CCS Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Victor Rühle, Andrew Paverd, Olga Ohrimenko, Boris Köpf, Marc Brockschmidt