1 citations · 1 across the 3 of their papers we have counts for
3 papers
Mastering the Craft of Data Synthesis for CodeLLMs
Meng Chen, Philip Arthur, Qianyu Feng +13
Large language models (LLMs) have shown impressive performance in \emph{code} understanding and generation, making coding tasks a key focus for researchers due to their practical a…
Learning for Visual Navigation by Imagining the Success
Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu +2
Visual navigation is often cast as a reinforcement learning (RL) problem. Current methods typically result in a suboptimal policy that learns general obstacle avoidance and search…
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation
Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad +1
We humans can impeccably search for a target object, given its name only, even in an unseen environment. We argue that this ability is largely due to three main reasons: the incorp…