Leadership
Robustness and AI Security, VLM training, few/zero-shot classifier evaluation, equilibrium models
Evaluation/verification of LLM outputs, LM training methods, retrieval-based LLMs, LLMs with external tools
Algorithms for finetuning foundation models, robustness/reliability, understanding representation
LLM pretraining, retrieval-augmentation, data-centric LLMs, embedding models
Members of the FLAME Center
Yonatan Bisk
Language for robots, LLM-based planning, other signals
Beidi Chen
Hardware algorithms, long context generation, FMs for new material
Tianqi Chen
System support for ML, LLMs on local devices, scaling open language models
Matt Fredrikson
LLMs in safety/privacy risk situations, code verification, neuro-symbolic methods
Daniel Fried
Pragmatics of language, context, generating/following instructions, code models, interfaces, multimodal dialog
Gabe Gomes
Finetuning LLMs for neuro-symbolic reasoning, autonomous scientific research, robotics
Albert Gu
State space models, network architectures, audio models
Daphne Ippolito
Generative language models for coherent and engaging narratives, leveraging models as creative tools
Olexandr Isayev
Chemistry, machine learning, molecular modeling, quantum mechanics
Zhihao Jia
Support for LLMs, computational efficiency, speculative execution, GPU memory
Aviral Kumar
Reinforcement learning (RL), foundation models and reinforcement learning
Lei Li
Large Language Models, Multilingual NLP, AI for Science
Zack Chase Lipton
NLP in medicine, decision support, evaluation outside labeled datasets, robustness
Jian Ma
LLMs for molecular and cell biology, Single-cell genomics, AI for biomedicine
Adam Perer
Interactive and Visual Data Science, Interpretable Machine Learning, Data-Driven Healthcare
Aditi Raghunathan
Algorithms for finetuning foundation models, robustness/reliability, understanding representation
Deva Ramanan
Vision language models, long-tailed recognition, image generation
Maarten Sap
Ethical risks, LLM limitations w.r.t. reasoning, social intelligence
Virginia Smith
Privacy, robustness, finetuning, LLM validation, federated learning
Emma Strubell
Efficiency of LLMs, computation, data, applications outside CS
Ameet Talwalkar
Multimodal learning, Human-AI Collaboration, LLM Evaluation
Michael J Tarr
Cognitive Science, Computational Cognitive Neuroscience, NeuroAI, Perception, Vision
Sean Welleck
LLMs for math and theorem proving, inference algorithms
Sherry Wu
Intersection of HCI and NLP, model mapping to use cases
Steven Wu
Responsible AI, Interactive learning, Economic aspects of machine learning
Eric Xing
System support for LLMs, pretraining, finetuning, federated learning, private inference, acceleration, Vicuna model, AI for science
Jun-Yan Zhu
Computer vision, graphics, computational photography, generative models
