Ankur Mallick

Chercheur senior

Papiers de Collaboration

Papiers de Collaboration

Afficher par:

- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication
- Exploring How LLMs Capture and Represent Domain-Specific Knowledge
  
  Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal, Ankur Mallick, Anastasios Kyrillidis,, Robert Sim, Victor Ruehle, Saravan Rajmohan
  
  April 2025
  
  Publication
- Performance Aware LLM Load Balancer for Mixed Workloads
  
  Kunal Jain, A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan
  
  EuroMLSys 2025 | April 2025
  
  Publication Projet
- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | February 2025
  
  Publication
- On Efficient Distillation from LLMs to SLMs
  
  Metod Jazbec, Menglin Xia, Ankur Mallick, Daniel Madrigal, Dongge Han, Samuel Kessler, Victor Ruehle
  
  NeurIPS FITML workshop 2024 | December 2024
  
  Publication
- Ensuring Fair LLM Serving Amid Diverse Applications
  
  Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng
  
  ArXiv | November 2024
  
  Publication
- Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
  
  A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | August 2024, Vol abs/2408.13510
  
  Preprint
- Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
  
  Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Ruehle, Laks V. S. Lakshmanan, Ahmed Awadallah
  
  ICLR 2024 | February 2024
  
  Publication
- Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems
  
  Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi
  
  MLSys | January 2022
  
  Publication

- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication
- Exploring How LLMs Capture and Represent Domain-Specific Knowledge
  
  Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal, Ankur Mallick, Anastasios Kyrillidis,, Robert Sim, Victor Ruehle, Saravan Rajmohan
  
  April 2025
  
  Publication
- Performance Aware LLM Load Balancer for Mixed Workloads
  
  Kunal Jain, A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan
  
  EuroMLSys 2025 | April 2025
  
  Publication Projet
- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | February 2025
  
  Publication
- On Efficient Distillation from LLMs to SLMs
  
  Metod Jazbec, Menglin Xia, Ankur Mallick, Daniel Madrigal, Dongge Han, Samuel Kessler, Victor Ruehle
  
  NeurIPS FITML workshop 2024 | December 2024
  
  Publication
- Ensuring Fair LLM Serving Amid Diverse Applications
  
  Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng
  
  ArXiv | November 2024
  
  Publication
- Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
  
  A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | August 2024, Vol abs/2408.13510
  
  Preprint
- Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
  
  Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Ruehle, Laks V. S. Lakshmanan, Ahmed Awadallah
  
  ICLR 2024 | February 2024
  
  Publication
- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | February 2025
  
  Publication
- Ensuring Fair LLM Serving Amid Diverse Applications
  
  Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng
  
  ArXiv | November 2024
  
  Publication
- Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
  
  A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | August 2024, Vol abs/2408.13510
  
  Preprint
- Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems
  
  Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi
  
  MLSys | January 2022
  
  Publication

- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication
- Performance Aware LLM Load Balancer for Mixed Workloads
  
  Kunal Jain, A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan
  
  EuroMLSys 2025 | April 2025
  
  Publication Projet
- On Efficient Distillation from LLMs to SLMs
  
  Metod Jazbec, Menglin Xia, Ankur Mallick, Daniel Madrigal, Dongge Han, Samuel Kessler, Victor Ruehle
  
  NeurIPS FITML workshop 2024 | December 2024
  
  Publication
- Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
  
  Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Ruehle, Laks V. S. Lakshmanan, Ahmed Awadallah
  
  ICLR 2024 | February 2024
  
  Publication
- Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems
  
  Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi
  
  MLSys | January 2022
  
  Publication
- Exploring How LLMs Capture and Represent Domain-Specific Knowledge
  
  Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal, Ankur Mallick, Anastasios Kyrillidis,, Robert Sim, Victor Ruehle, Saravan Rajmohan
  
  April 2025
  
  Publication
- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | February 2025
  
  Publication
- Ensuring Fair LLM Serving Amid Diverse Applications
  
  Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng
  
  ArXiv | November 2024
  
  Publication
- Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
  
  A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | August 2024, Vol abs/2408.13510
  
  Preprint