papers

Publications (6)

cs.CL2024

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini Team, Petko Georgiev, Ving Ian Lei +1132

In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over…

cs.CL2015

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

Chris Dyer, Miguel Ballesteros, Wang Ling +2

We propose a technique for learning representations of parser states in transition-based dependency parsers. Our primary innovation is a new control structure for sequence-to-seque…

stat.ML2017

DyNet: The Dynamic Neural Network Toolkit

Graham Neubig, Chris Dyer, Yoav Goldberg +22

We describe DyNet, a toolkit for implementing neural network models based on dynamic declaration of network structure. In the static declaration strategy that is used in toolkits l…

cs.CL2022

Enabling arbitrary translation objectives with Adaptive Tree Search

Wang Ling, Wojciech Stokowiec, Domenic Donato +4

We introduce an adaptive tree search algorithm, that can find high-scoring outputs under translation models that make no assumptions about the form or structure of the search objec…

cs.CL2019

The ARIEL-CMU Systems for LoReHLT18

Aditi Chaudhary, Siddharth Dalmia, Junjie Hu +27

This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery a…

cs.CL2018

XNMT: The eXtensible Neural Machine Translation Toolkit

Graham Neubig, Matthias Sperber, Xinyi Wang +10

This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distin- guishes itself from other open-source NMT toolkits by its focus on modular code design, w…