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

Vince Conitzer

Multiagent systems, ethics, societal implication

Tim Dettmers

Sparse training and inference, low-bit quantization of LLMs, agent systems, agents for science

Mona Diab

Trustworthy NLP, responsible AI, controllable natural language generation, computational social science

Chris Donahue

Foundation models for music

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

David Held

Robotics, machine learning, computer vision

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

Gauri Joshi

LLMs, efficient fine-tuning, inference

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

Heather Miller

Distributed and concurrent computation, programming languages

Adam Perer

Interactive and Visual Data Science, Interpretable Machine Learning, Data-Driven Healthcare

Pradeep Ravikumar

Aditi Raghunathan

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

Deva Ramanan

Vision language models, long-tailed recognition, image generation

Russ Salakhutdinov

Multimodal models, visual language reasoning

Maarten Sap

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

Jeff Schneider

Active learning, data mining, reinforcement learning, optimization, intelligent control

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

Shinji Watanabe

Foundation models for speech

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