Publications

The expanding space economy has created an urgent need for reliable on-orbit transportation systems to support both commercial and scientific missions. This paper explores a cooperative approach to orbital transportation, where a swarm of spacecraft agents, each securely attached to

We propose affine concept editing (ACE) as an approach for steering language models' behavior by intervening directly in activations. We begin with an affine decomposition of model activation vectors and show that prior methods for steering model behavior correspond to

Below is the abstract for our recent paper, "Intelligent Digital Agents in the Era of Large Language Models". We’re growing our Research Team and pursuing new projects. If you’re interested in working together, join the conversation on 

Conversational AI agents often require extensive datasets for training that are not publicly released, are limited to social chit-chat or handling a specific domain, and may not be easily extended to accommodate the latest advances in AI technologies. This paper

Recent advances in recurrent neural network architectures, such as Mamba and RWKV, have enabled RNNs to match or exceed the performance of equal-size transformers in terms of language modeling perplexity and downstream evaluations, suggesting that future systems may be built