Harmony: Collection and analysis of parallel block vectors. - Melanie Kambadur; Kui Tang; Martha A. Kim (ISCA, 2012)

Measuring interference between live datacenter applications. - Melanie Kambadur; Tipp Moseley; Rick Hank; Martha A. Kim (SC, 2012)

Parallel scaling properties from a basic block view. - Melanie Kambadur; Kui Tang; Joshua Lopez; Martha A. Kim (SIGMETRICS, 2013)

Parallel Block Vectors: Collection, Analysis, and Uses. - Melanie Kambadur; Kui Tang; Martha A. Kim (IEEE Micro, 2013)

ParaShares: Finding the Important Basic Blocks in Multithreaded Programs. - Melanie Kambadur; Kui Tang; Martha A. Kim (Euro-Par, 2014)

An experimental survey of energy management across the stack. - Melanie Kambadur; Martha A. Kim (OOPSLA, 2014)

Fast Computational GPU Design with GT-Pin. - Melanie Kambadur; Sunpyo Hong; Juan Cabral; Harish Patil; Chi-Keung Luk; Sohaib Sajid; Martha A. Kim (IISWC, 2015)

NRG-loops: adjusting power from within applications. - Melanie Kambadur; Martha A. Kim (CGO, 2016)

Finding, Measuring, and Reducing Inefficiencies in Contemporary Computer Systems. - Melanie Kambadur (2016)

"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 (EMNLP, 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)

BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage. - Kurt Shuster 001; Jing Xu; Mojtaba Komeili; Da Ju; Eric Michael Smith; Stephen Roller; Megan Ung; Moya Chen; Kushal Arora; Joshua Lane; Morteza Behrooz; William Ngan; et al. (CoRR, 2022)

A Theory on Adam Instability in Large-Scale Machine Learning. - Igor Molybog; Peter Albert; Moya Chen; Zachary DeVito; David Esiobu; Naman Goyal 001; Punit Singh Koura; Sharan Narang; Andrew Poulton; Ruan Silva; Binh Tang; Diana Liskovich; et al. (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 001; Mojtaba Komeili; Moya Chen; Melanie Kambadur; Y-Lan Boureau; Jason Weston (CoRR, 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; et al. (CoRR, 2023)

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 001; et al. (CoRR, 2024)

Law of the Weakest Link: Cross Capabilities of Large Language Models. - Ming Zhong 005; Aston Zhang; Xuewei Wang; Rui Hou; Wenhan Xiong; Chenguang Zhu 001; Zhengxing Chen; Liang Tan; Chloe Bi; Mike Lewis; Sravya Popuri; Sharan Narang; et al. (ICLR, 2025)

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 001; Hannaneh Hajishirzi; Liang Tan (NAACL (Long Papers), 2025)

Self-Generated Critiques Boost Reward Modeling for Language Models. - Yue Yu; Zhengxing Chen; Aston Zhang; Liang Tan; Chenguang Zhu 001; Richard Yuanzhe Pang; Yundi Qian; Xuewei Wang; Suchin Gururangan; Chao Zhang; Melanie Kambadur; Dhruv Mahajan 001; et al. (NAACL (Long Papers), 2025)

What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces. - 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 (CoRR, 2025)