From the 1 of 7 linked papers with an AI index.
7 papers
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation
Alexi Gladstone, Heng Ji, Yilun Du
The paper proposes Explorative Modeling, a new training paradigm that selects the best among multiple candidate generations to improve generative models, adding a third pretraining…
You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences
Ninad Daithankar, Alexi Gladstone, Yann LeCun +1
Progress in AI has largely been driven by methods that assume less. As compute and data increase, approaches with weaker inductive biases generally outperform those with stronger a…
Assessing the Creativity of Large Language Models: Testing, Limits, and New Frontiers
Samuel Schapiro, Alexi Gladstone, Jonah Black +1
Measuring the creativity of large language models (LLMs) is essential for designing methods that can improve creativity and for enhancing our scientific understanding of this abili…
Combinatorial Creativity: A New Frontier in Generalization Abilities
Samuel Schapiro, Sumuk Shashidhar, Alexi Gladstone +4
Artificial intelligence (AI) systems, and Large Language Models (LLMs) in particular, are increasingly employed for creative tasks like scientific idea generation, constituting a f…
Embodied Referring Expression Comprehension in Human-Robot Interaction
Md Mofijul Islam, Alexi Gladstone, Sujan Sarker +5
As robots enter human workspaces, there is a crucial need for them to comprehend embodied human instructions, enabling intuitive and fluent human-robot interaction (HRI). However,…
EBT-Policy: Energy Unlocks Emergent Physical Reasoning Capabilities
Travis Davies, Yiqi Huang, Alexi Gladstone +5
Implicit policies parameterized by generative models, such as Diffusion Policy, have become the standard for policy learning and Vision-Language-Action (VLA) models in robotics. Ho…