activity
20142025
most citedSearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

380 citations · 694 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2025

Command A: An Enterprise-Ready Large Language Model

Team Cohere, :, Aakanksha +227

In this report we describe the development of Command A, a powerful large language model purpose-built to excel at real-world enterprise use cases. Command A is an agent-optimised…

cs.CV2018★ 242 cited

Speaker-Follower Models for Vision-and-Language Navigation

Daniel Fried, Ronghang Hu, Volkan Cirik +7

Navigation guided by natural language instructions presents a challenging reasoning problem for instruction followers. Natural language instructions typically identify only a few h…

cs.CL2018★ 6 cited

Visual Referring Expression Recognition: What Do Systems Actually Learn?

Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick

We present an empirical analysis of the state-of-the-art systems for referring expression recognition -- the task of identifying the object in an image referred to by a natural lan…

cs.CV2018★ 34 cited

Using Syntax to Ground Referring Expressions in Natural Images

Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency

We introduce GroundNet, a neural network for referring expression recognition -- the task of localizing (or grounding) in an image the object referred to by a natural language expr…

cs.CL2017★ 380 cited

SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

Matthew Dunn, Levent Sagun, Mike Higgins +3

We publicly release a new large-scale dataset, called SearchQA, for machine comprehension, or question-answering. Unlike recently released datasets, such as DeepMind CNN/DailyMail…

cs.CL2016★ 30 cited

Visualizing and Understanding Curriculum Learning for Long Short-Term Memory Networks

Volkan Cirik, Eduard Hovy, Louis-Philippe Morency

Curriculum Learning emphasizes the order of training instances in a computational learning setup. The core hypothesis is that simpler instances should be learned early as building…

cs.CL2014★ 2 cited

Substitute Based SCODE Word Embeddings in Supervised NLP Tasks

Volkan Cirik, Deniz Yuret

We analyze a word embedding method in supervised tasks. It maps words on a sphere such that words co-occurring in similar contexts lie closely. The similarity of contexts is measur…