Melanie Kambadur

23 papers A* 4A 3Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Systematic Examination of Preference Learning through the Lens of Instruction-Following. NAACL (Long Papers) Joongwon Kim, Anirudh Goyal, Aston Zhang, Bo Xiong, Rui Hou, Melanie Kambadur, Dhruv Mahajan, Hannaneh Hajishirzi, Liang Tan
2025	A*	`conf`	Law of the Weakest Link: Cross Capabilities of Large Language Models. ICLR 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
2025	—	`conf`	Self-Generated Critiques Boost Reward Modeling for Language Models. NAACL (Long Papers) 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
2025	J	`jnl`	What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces. CoRR Jordi Armengol-Estapé, Quentin Carbonneaux, Tianjun Zhang, Aram H. Markosyan, Volker Seeker, Chris Cummins, Melanie Kambadur, Michael F. P. O'Boyle, Sida I. Wang, Gabriel Synnaeve, Hugh James Leather
2024	J	`jnl`	A Systematic Examination of Preference Learning through the Lens of Instruction-Following. CoRR Joongwon Kim, Anirudh Goyal, Aston Zhang, Bo Xiong, Rui Hou, Melanie Kambadur, Dhruv Mahajan, Hannaneh Hajishirzi, Liang Tan
2024	J	`jnl`	Law of the Weakest Link: Cross Capabilities of Large Language Models. CoRR 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
2024	J	`jnl`	Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following. CoRR 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
2024	J	`jnl`	Self-Generated Critiques Boost Reward Modeling for Language Models. CoRR 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
2023	J	`jnl`	A Theory on Adam Instability in Large-Scale Machine Learning. CoRR 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
2023	J	`jnl`	Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR 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
2023	J	`jnl`	The HCI Aspects of Public Deployment of Research Chatbots: A User Study, Design Recommendations, and Open Challenges. CoRR Morteza Behrooz, William Ngan, Joshua Lane, Giuliano Morse, Benjamin Babcock, Kurt Shuster, Mojtaba Komeili, Moya Chen, Melanie Kambadur, Y-Lan Boureau, Jason Weston
2022	A*	`conf`	"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset. EMNLP Eric Michael Smith, Melissa Hall, Melanie Kambadur, Eleonora Presani, Adina Williams
2022	J	`jnl`	"I'm sorry to hear that": finding bias in language models with a holistic descriptor dataset. CoRR Eric Michael Smith, Melissa Hall, Melanie Kambadur, Eleonora Presani, Adina Williams
2022	J	`jnl`	BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage. CoRR 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
2016	—	`—`	Finding, Measuring, and Reducing Inefficiencies in Contemporary Computer Systems. Melanie Kambadur
2016	A	`conf`	NRG-loops: adjusting power from within applications. CGO Melanie Kambadur, Martha A. Kim
2015	—	`conf`	Fast Computational GPU Design with GT-Pin. IISWC Melanie Kambadur, Sunpyo Hong, Juan Cabral, Harish Patil, Chi-Keung Luk, Sohaib Sajid, Martha A. Kim
2014	A	`conf`	An experimental survey of energy management across the stack. OOPSLA Melanie Kambadur, Martha A. Kim
2014	—	`conf`	ParaShares: Finding the Important Basic Blocks in Multithreaded Programs. Euro-Par Melanie Kambadur, Kui Tang, Martha A. Kim
2013	J	`jnl`	Parallel Block Vectors: Collection, Analysis, and Uses. IEEE Micro Melanie Kambadur, Kui Tang, Martha A. Kim
2013	A*	`conf`	Parallel scaling properties from a basic block view. SIGMETRICS Melanie Kambadur, Kui Tang, Joshua Lopez, Martha A. Kim
2012	A*	`conf`	Harmony: Collection and analysis of parallel block vectors. ISCA Melanie Kambadur, Kui Tang, Martha A. Kim
2012	A	`conf`	Measuring interference between live datacenter applications. SC Melanie Kambadur, Tipp Moseley, Rick Hank, Martha A. Kim