13 citations · 17 across the 7 of their papers we have counts for
4 papers · 1 filter
Bio2Token: All-atom tokenization of any biomolecular structure with Mamba
Andrew Liu, Axel Elaldi, Nathan Russell +1
Efficient encoding and representation of large 3D molecular structures with high fidelity is critical for biomolecular design applications. Despite this, many representation learni…
A Role of Environmental Complexity on Representation Learning in Deep Reinforcement Learning Agents
Andrew Liu, Alla Borisyuk
We developed a simulated environment to train deep reinforcement learning agents on a shortcut usage navigation task, motivated by the Dual Solutions Paradigm test used for human n…
What does the Knowledge Neuron Thesis Have to do with Knowledge?
Jingcheng Niu, Andrew Liu, Zining Zhu +1
We reassess the Knowledge Neuron (KN) Thesis: an interpretation of the mechanism underlying the ability of large language models to recall facts from a training corpus. This nascen…
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Nathaniel Li, Alexander Pan, Anjali Gopal +54
The White House Executive Order on Artificial Intelligence highlights the risks of large language models (LLMs) empowering malicious actors in developing biological, cyber, and che…