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20112026
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 943 across the 50 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CL2022★ 1 cited

Detecting Euphemisms with Literal Descriptions and Visual Imagery

İlker Kesen, Aykut Erdem, Erkut Erdem +1

This paper describes our two-stage system for the Euphemism Detection shared task hosted by the 3rd Workshop on Figurative Language Processing in conjunction with EMNLP 2022. Euphe…

cs.CV2022

Disentangling Content and Motion for Text-Based Neural Video Manipulation

Levent Karacan, Tolga Kerimoğlu, İsmail İnan +3

Giving machines the ability to imagine possible new objects or scenes from linguistic descriptions and produce their realistic renderings is arguably one of the most challenging pr…

cs.CV2022

Perception-Distortion Trade-off in the SR Space Spanned by Flow Models

Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan +2

Flow-based generative super-resolution (SR) models learn to produce a diverse set of feasible SR solutions, called the SR space. Diversity of SR solutions increases with the temper…

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.CV2022★ 5 cited

Stochastic Video Prediction with Structure and Motion

Adil Kaan Akan, Sadra Safadoust, Fatma Güney

While stochastic video prediction models enable future prediction under uncertainty, they mostly fail to model the complex dynamics of real-world scenes. For example, they cannot p…