Members of the FLAME Center

Aditi Raghunathan

Aditi Raghunathan

Algorithms for finetuning foundation models, robustness/reliability, understanding representation

Albert Gu

State space models, network architectures, audio models

Ameet Talwalkar

Ameet Talwalkar

Multimodal learning, Human-AI Collaboration, LLM Evaluation

Beidi Chen

Hardware algorithms, long context generation, FMs for new material

Chenyan Xiong

Chenyan Xiong

LLM pretraining, retrieval-augmentation, data-centric LLMs, embedding models

Chris Donahue

Chris Donahue

Foundation models for music

Daniel Fried

Daniel Fried

Pragmatics of language, context, generating/following instructions, code models, interfaces, multimodal dialog

Daphne Ippolito

Daphne Ippolito

Generative language models for coherent and engaging narratives, leveraging models as creative tools

Deva Ramanan

Deva Ramanan

Vision language models, long-tailed recognition, image generation

Emma Strubell

Efficiency of LLMs, computation, data, applications outside CS

Eric Xing

Eric Xing

System support for LLMs, pretraining, finetuning, federated learning, private inference, acceleration, Vicuna model, AI for science

Gabe Gomes

Gabe Gomes

Finetuning LLMs for neuro-symbolic reasoning, autonomous scientific research, robotics

Graham Neubig

Evaluation/verification of LLM outputs, LM training methods, retrieval-based LLMs, LLMs with external tools

Jian Ma

Jian Ma

LLMs for molecular and cell biology, Single-cell genomics, AI for biomedicine

Lei Li

Lei Li

Large Language Models, Multilingual NLP, AI for Science

Maarten Sap

Maarten Sap

Ethical risks, LLM limitations w.r.t. reasoning, social intelligence

Matt Fredrikson

Matt Fredrikson

LLMs in safety/privacy risk situations, code verification, neuro-symbolic methods

Pradeep Ravikumar

Pradeep Ravikumar

LLM understanding, neuro-symbolic architectures, reliability

Ruslan Salakhutdinov

Russ Salakhutdinov

Multimodal models, visual language reasoning

Sean Welleck

Sean Welleck

LLMs for math and theorem proving, inference algorithms

Sherry Wu

Intersection of HCI and NLP, model mapping to use cases

Shinji Watanabe

Shinji Watanabe

Foundation models for speech

Steven Wu

Steven Wu

Responsible AI, Interactive learning, Economic aspects of machine learning

Tianqi Chen

Tianqi Chen

System support for ML, LLMs on local devices, scaling open language models

Vince Conitzer

Vince Conitzer

Multiagent systems, ethics, societal implication

Virginia Smith

Virginia Smith

Privacy, robustness, finetuning, LLM validation, federated learning

Yonatan Bisk

Yonatan Bisk

Language for robots, LLM-based planning, other signals

Zack Lipton

Zack Lipton

NLP in medicine, decision support, evaluation outside labeled datasets, robustness

Zhihao Jia

Zhihao Jia

Support for LLMs, computational efficiency, speculative execution, GPU memory

Zico Kolter

Zico Kolter

Robustness and AI Security, VLM training, few/zero-shot classifier evaluation, equilibrium models