1 code implementation • 19 May 2025 • Ke Yang, Kevin Ros, Shankar Kumar Senthil Kumar, ChengXiang Zhai
Our evaluation of this baseline system on JIR-Arena indicates that while foundation model-based JIR systems simulate user needs with reasonable precision, they face challenges in recall and effective content retrieval.
no code implementations • 5 Jan 2025 • Kevin Ros, Dhyey Pandya, ChengXiang Zhai
The ability to predict a user's information need would have wide-ranging implications, from saving time and effort to mitigating vocabulary gaps.
1 code implementation • 25 Apr 2022 • Carl Edwards, Tuan Lai, Kevin Ros, Garrett Honke, Kyunghyun Cho, Heng Ji
We present $\textbf{MolT5}$ $-$ a self-supervised learning framework for pretraining models on a vast amount of unlabeled natural language text and molecule strings.
Ranked #3 on
Molecule Captioning
on L+M-24
no code implementations • 11 Dec 2020 • Pavel Naumov, Kevin Ros
The ability of an agent to comprehend a sentence is tightly connected to the agent's prior experiences and background knowledge.
no code implementations • 10 Oct 2019 • Pavel Naumov, Kevin Ros
The article introduces a notion of a stochastic game with failure states and proposes two logical systems with modality "coalition has a strategy to transition to a non-failure state with a given probability while achieving a given goal."