activity
20202026
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 580 across the 12 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.CL2022

Causes and Cures for Interference in Multilingual Translation

Uri Shaham, Maha Elbayad, Vedanuj Goswami +2

Multilingual machine translation models can benefit from synergy between different language pairs, but also suffer from interference. While there is a growing number of sophisticat…

cs.CL2022★ 4 cited

Efficient Long-Text Understanding with Short-Text Models

Maor Ivgi, Uri Shaham, Jonathan Berant

Transformer-based pretrained language models (LMs) are ubiquitous across natural language understanding, but cannot be applied to long sequences such as stories, scientific article…

cs.CL2022★ 565 cited

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448

Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…

cs.CL2022★ 6 cited

Instruction Induction: From Few Examples to Natural Language Task Descriptions

Or Honovich, Uri Shaham, Samuel R. Bowman +1

Large language models are able to perform a task by conditioning on a few input-output demonstrations - a paradigm known as in-context learning. We show that language models can ex…

cs.CL2022★ 2 cited

SCROLLS: Standardized CompaRison Over Long Language Sequences

Uri Shaham, Elad Segal, Maor Ivgi +8

NLP benchmarks have largely focused on short texts, such as sentences and paragraphs, even though long texts comprise a considerable amount of natural language in the wild. We intr…