1 code implementation • 16 Feb 2024 • Alberto Cabezas, Adrien Corenflos, Junpeng Lao, Rémi Louf, Antoine Carnec, Kaustubh Chaudhari, Reuben Cohn-Gordon, Jeremie Coullon, Wei Deng, Sam Duffield, Gerardo Durán-Martín, Marcin Elantkowski, Dan Foreman-Mackey, Michele Gregori, Carlos Iguaran, Ravin Kumar, Martin Lysy, Kevin Murphy, Juan Camilo Orduz, Karm Patel, Xi Wang, Rob Zinkov
BlackJAX is a library implementing sampling and variational inference algorithms commonly used in Bayesian computation.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Allen Nie, Reuben Cohn-Gordon, Christopher Potts
Image captioning systems have recently improved dramatically, but they still tend to produce captions that are insensitive to the communicative goals that captions should meet.
no code implementations • 30 Oct 2019 • Jacopo Tagliabue, Reuben Cohn-Gordon
Information retrieval (IR) systems need to constantly update their knowledge as target objects and user queries change over time.
1 code implementation • SCiL 2020 • Benjamin Newman, Reuben Cohn-Gordon, Christopher Potts
Natural language generation (NLG) systems are commonly evaluated using n-gram overlap measures (e. g. BLEU, ROUGE).
1 code implementation • NAACL 2019 • Reuben Cohn-Gordon, Noah Goodman
A desideratum of high-quality translation systems is that they preserve meaning, in the sense that two sentences with different meanings should not translate to one and the same sentence in another language.
no code implementations • WS 2019 • Reuben Cohn-Gordon, Noah D. Goodman, Christopher Potts
Recent Iterated Response (IR) models of pragmatics conceptualize language use as a recursive process in which agents reason about each other to increase communicative efficiency.
no code implementations • NAACL 2018 • Reuben Cohn-Gordon, Noah Goodman, Christopher Potts
We combine a neural image captioner with a Rational Speech Acts (RSA) model to make a system that is pragmatically informative: its objective is to produce captions that are not merely true but also distinguish their inputs from similar images.