843 citations · 1.4k across the 13 of their papers we have counts for
13 papers
Gemini: A Family of Highly Capable Multimodal Models
Gemini Team, Rohan Anil, Sebastian Borgeaud +1340
This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consist…
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation
Ran Tian, Shashi Narayan, Thibault Sellam +1
We address the issue of hallucination in data-to-text generation, i.e., reducing the generation of text that is unsupported by the source. We conjecture that hallucination can be c…
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks
Shashi Narayan, Shay B. Cohen, Mirella Lapata
We introduce 'extreme summarization', a new single-document summarization task which aims at creating a short, one-sentence news summary answering the question ``What is the articl…
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
Sascha Rothe, Shashi Narayan, Aliaksei Severyn
Unsupervised pre-training of large neural models has recently revolutionized Natural Language Processing. By warm-starting from the publicly released checkpoints, NLP practitioners…
Jointly Extracting and Compressing Documents with Summary State Representations
Afonso Mendes, Shashi Narayan, Sebastião Miranda +3
We present a new neural model for text summarization that first extracts sentences from a document and then compresses them. The proposed model offers a balance that sidesteps the…
Privacy-preserving Neural Representations of Text
Maximin Coavoux, Shashi Narayan, Shay B. Cohen
This article deals with adversarial attacks towards deep learning systems for Natural Language Processing (NLP), in the context of privacy protection. We study a specific type of a…