Melanie Kambadur

According to our database, Melanie Kambadur authored at least 19 papers between 2012 and 2024.

Collaborative distances:

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

2024

A Systematic Examination of Preference Learning through the Lens of Instruction-Following.

Joongwon Kim, Anirudh Goyal, Aston Zhang, Bo Xiong, Rui Hou, Melanie Kambadur, Dhruv Mahajan, Hannaneh Hajishirzi, Liang Tan

CoRR, 2024

Self-Generated Critiques Boost Reward Modeling for Language Models.

Yue Yu, Zhengxing Chen, Aston Zhang, Liang Tan, Chenguang Zhu, Richard Yuanzhe Pang, Yundi Qian, Xuewei Wang, Suchin Gururangan, Chao Zhang, Melanie Kambadur, Dhruv Mahajan, Rui Hou

CoRR, 2024

Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following.

Yun He, Di Jin, Chaoqi Wang, Chloe Bi, Karishma Mandyam, Hejia Zhang, Chen Zhu, Ning Li, Tengyu Xu, Hongjiang Lv, Shruti Bhosale, Chenguang Zhu, Karthik Abinav Sankararaman, Eryk Helenowski, Melanie Kambadur, Aditya Tayade, Hao Ma, Han Fang, Sinong Wang

CoRR, 2024

Law of the Weakest Link: Cross Capabilities of Large Language Models.

Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten

CoRR, 2024

2023

Llama 2: Open Foundation and Fine-Tuned Chat Models.

Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom

CoRR, 2023

The HCI Aspects of Public Deployment of Research Chatbots: A User Study, Design Recommendations, and Open Challenges.

Morteza Behrooz, William Ngan, Joshua Lane, Giuliano Morse, Benjamin Babcock, Kurt Shuster, Mojtaba Komeili, Moya Chen, Melanie Kambadur, Y-Lan Boureau, Jason Weston

CoRR, 2023

A Theory on Adam Instability in Large-Scale Machine Learning.

Igor Molybog, Peter Albert, Moya Chen, Zachary DeVito, David Esiobu, Naman Goyal, Punit Singh Koura, Sharan Narang, Andrew Poulton, Ruan Silva, Binh Tang, Diana Liskovich, Puxin Xu, Yuchen Zhang, Melanie Kambadur, Stephen Roller, Susan Zhang

CoRR, 2023

2022

BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage.

Kurt Shuster, Jing Xu, Mojtaba Komeili, Da Ju, Eric Michael Smith, Stephen Roller, Megan Ung, Moya Chen, Kushal Arora, Joshua Lane, Morteza Behrooz, William Ngan, Spencer Poff, Naman Goyal, Arthur Szlam, Y-Lan Boureau, Melanie Kambadur, Jason Weston

CoRR, 2022

"I'm sorry to hear that": finding bias in language models with a holistic descriptor dataset.

Eric Michael Smith, Melissa Hall, Melanie Kambadur, Eleonora Presani, Adina Williams

CoRR, 2022

"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset.

Eric Michael Smith, Melissa Hall, Melanie Kambadur, Eleonora Presani, Adina Williams

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2016

Finding, Measuring, and Reducing Inefficiencies in Contemporary Computer Systems.

Melanie Kambadur

PhD thesis, 2016

NRG-loops: adjusting power from within applications.

Melanie Kambadur, Martha A. Kim

Proceedings of the 2016 International Symposium on Code Generation and Optimization, 2016

2015

Fast Computational GPU Design with GT-Pin.

Melanie Kambadur, Sunpyo Hong, Juan Cabral, Harish Patil, Chi-Keung Luk, Sohaib Sajid, Martha A. Kim

Proceedings of the 2015 IEEE International Symposium on Workload Characterization, 2015

2014

An experimental survey of energy management across the stack.

Melanie Kambadur, Martha A. Kim

Proceedings of the 2014 ACM International Conference on Object Oriented Programming Systems Languages & Applications, 2014

ParaShares: Finding the Important Basic Blocks in Multithreaded Programs.

Melanie Kambadur, Kui Tang, Martha A. Kim

Proceedings of the Euro-Par 2014 Parallel Processing, 2014

2013

Parallel Block Vectors: Collection, Analysis, and Uses.

Melanie Kambadur, Kui Tang, Martha A. Kim

IEEE Micro, 2013

Parallel scaling properties from a basic block view.

Melanie Kambadur, Kui Tang, Joshua Lopez, Martha A. Kim

Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2013

2012

Measuring interference between live datacenter applications.

Melanie Kambadur, Tipp Moseley, Rick Hank, Martha A. Kim

Proceedings of the SC Conference on High Performance Computing Networking, 2012

Harmony: Collection and analysis of parallel block vectors.

Melanie Kambadur, Kui Tang, Martha A. Kim

Proceedings of the 39th International Symposium on Computer Architecture (ISCA 2012), 2012