Carnegie Mellon University

Researcher at Apple working on speech, audio, and multimodal machine learning; previously a senior research scientist at SRI International and also worked at Google.

Xin Hu is a Member of Technical Staff at OpenAI focused on privacy and security. Xin previously held cybersecurity and machine learning roles at Robinhood, Pinterest, IBM Research, and Intel, and earned a PhD in Computer Science and Engineering from the University of Michigan.

Rulin Shao's homepage says he is a third-year PhD at the University of Washington advised by Pang Wei Koh and Luke Zettlemoyer, and also a visiting researcher at Meta.

Assistant professor in the University of Pennsylvania Department of Computer and Information Science whose research spans natural language processing, speech, and multimodal learning; previously a research scientist at Facebook AI Research.

Research scientist at Meta GenAI working on efficient and safe language and multimodal systems. She completed a Ph.D. in computer science at Carnegie Mellon University.

Works on information extraction, tabular data, and NLP for healthcare, and previously completed an MS in Robotics at Carnegie Mellon University.

Haoqi Fan is a computer vision researcher working on multimodal foundation models. His public homepage says he graduated from Carnegie Mellon University's Robotics Institute, and his OpenReview profile lists him as a researcher at Seed, ByteDance Seed.

Research scientist at Meta AI working on natural language processing, dialogue systems, and large language models.

Yulun Du is a Moonshot AI-affiliated researcher. Public profiles also show prior work and study at Carnegie Mellon University, including a Master of Language Technologies completed in 2020.

Satyapriya Krishna recently completed a Ph.D. at Harvard SEAS on machine learning explanations and describes past work spanning Amazon, Google DeepMind, and Meta FAIR. Public report authorship also links him to Amazon's frontier model safety work, but his current employer is not clearly stated.

Jakub "Jake" Poznanski identifies himself on his personal site as a Carnegie Mellon computer science graduate and describes leading an OCR toolkit on GitHub.

Hanjun Dai is a Research Scientist at Google DeepMind working on large-scale robot learning, robot foundation models, and multimodal foundation models.

Pradeep Dasigi is a research scientist on the AllenNLP team at Ai2. His homepage says he has been actively involved in OLMo and Tulu and currently focuses on post-training language models.

NVIDIA's public author page identifies Igor Gitman as an applied scientist focused on improving the mathematical reasoning abilities of large language models and as a maintainer of NeMo-Skills.

Amanda Bertsch is a Ph.D. student in the Language Technologies Institute at Carnegie Mellon University. Her research focuses on making language models faster and more memory efficient at test time and improving performance on very long contexts.

Asterios Katsamanis

Xin Hu

Shao, Rulin

Jiatao Gu

Yuning Mao

Gao, Chufan

Haoqi Fan

Chunting Zhou

Yulun Du

Krishna, Satyapriya

Poznanski, Jake

Hanjun Dai

Dasigi, Pradeep

Gitman, Igor

Bertsch, Amanda