Electric SHEEP
Research on "electric sheep," a metaphorical term encompassing various AI advancements, focuses on improving large language models (LLMs) and their applications. Current efforts concentrate on enhancing LLM alignment through iterative self-improvement techniques, developing robust and efficient models for resource-constrained environments, and mitigating risks associated with malicious use or biases. This research is significant for advancing AI capabilities, particularly in natural language processing and robotics, while simultaneously addressing crucial ethical and safety concerns.
Papers
October 31, 2024
October 22, 2024
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Boxing Chen, Sarath Chandar
ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design
Keir Adams, Kento Abeywardane, Jenna Fromer, Connor W. Coley
September 19, 2024
August 15, 2024
July 22, 2024
March 12, 2024
February 28, 2024
January 26, 2024
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January 17, 2024
December 28, 2023
November 17, 2023
November 14, 2023
November 10, 2023
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October 13, 2023
October 9, 2023
October 3, 2023