Philip Schroeder - MIT EI Seminar - Recursive Reasoning with LLMs and VLMs

Yung-Sung Chuang - Reducing Hallucinations in LLMs via Decoding, Detection, and Citation

Hongyin Lou - Quantifying Generalization Complexity for Large Language Models

Saurabhchand Bhati - Smaller, Stronger, and Duration-Scalable Audio Learners

Andrew Rouditchenko - Giving Sight to Speech Models

Liming Wang, Can Diffusion Model Disentangle? A Theoretical Perspective

Jehanzeb Mirza, GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models

Zhaofeng Wu - The Semantic Hub Hypothesis

Akarsh Kumar - Automating the Search for Artificial Life with Foundation Models

Felix Yanwei Wang - Inference-Time Policy Customization Through Interactive Task Specification

Sharut Gupta - Redefining Context for Powerful Test-Time Adaptation Using Unlabeled Data

EI Seminar - Jason Ma - Recent Progress on Foundation Model Supervision for Robot Learning

EI Seminar - Tim Dettmers - The Promises and Pitfalls of Open-source Agent Systems

EI Seminar - Jaime Fernández Fisac - Games and Filters: A Road to Safe

EI Seminar - Mengzhou Xia - Aligning Language Models with LESS Data and a Simple (SimPO) Objective

EI Seminar - Danny Driess - Have Large Models Changed Robotics?

EI Seminar - Mahi Shafiullah - On Building General, Zero-Shot Robot Policies

EI Seminar - Paul Liang - Foundations of High-Modality Multisensory AI

EI Seminar - Ge Yang - Learning Robust, Real-world Visuomotor Skills from Generated Data

EI Seminar - Naomi Saphra - Interpreting Training

EI Seminar - Jacob Andreas - Good Old-fashioned LLMs (or, Autoformalizing the World)

EI Seminar - Oriol Vinyals - The Deep Learning Toolbox: from AlphaFold to AlphaCode

EI Seminar - Recent papers in Embodied Intelligence I

EI Seminar - Deepak Pathak - Rapid Adaptation in Robot Learning

MIT EI Seminar - Ted Adelson - Good tactile sensing lets robots do cool things

MIT EI Seminar - Pulkit Agrawal - The Task Specification Problem

MIT EI Seminar - Lerrel Pinto - Diverse data and efficient algorithms for robot learning

MIT EI Seminar - Max Welling - Learning equivariant and hybrid message passing on graphs

MIT EI Seminar - Pierre-Yves Oudeyer - Developmental Machine Learning, Curiosity and Deep RL

MIT EI Seminar - Hector Geffner - Model-free, Model-based, and General Intelligence