no code implementations • 5 Oct 2023 • Paloma Sodhi, S. R. K. Branavan, Yoav Artzi, Ryan Mcdonald
Performing tasks on the web presents fundamental challenges to large language models (LLMs), including combinatorially large open-world tasks and variations across web interfaces.
no code implementations • 18 Jan 2014 • S. R. K. Branavan, David Silver, Regina Barzilay
In this paper, we present an approach to language grounding which automatically interprets text in the context of a complex control application, such as a game, and uses domain knowledge extracted from the text to improve control performance.
no code implementations • 15 Jan 2014 • Harr Chen, S. R. K. Branavan, Regina Barzilay, David R. Karger
We present a novel Bayesian topic model for learning discourse-level document structure.
no code implementations • 15 Jan 2014 • S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Regina Barzilay
The paraphrase structure is linked with a latent topic model of the review texts, enabling the system to predict the properties of unannotated documents and to effectively aggregate the semantic properties of multiple reviews.