234 citations · 723 across the 73 of their papers we have counts for
16 papers · 1 filter
Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation
Damian Pascual, Beni Egressy, Florian Bolli +1
Large pre-trained language models are capable of generating realistic text. However, controlling these models so that the generated text satisfies lexical constraints, i.e., contai…
Sequential Defaulting in Financial Networks
Pál András Papp, Roger Wattenhofer
We consider financial networks, where banks are connected by contracts such as debts or credit default swaps. We study the clearing problem in these systems: we want to know which…
Space Complexity of Streaming Algorithms on Universal Quantum Computers
Yanglin Hu, Darya Melnyk, Yuyi Wang +1
Universal quantum computers are the only general purpose quantum computers known that can be implemented as of today. These computers consist of a classical memory component which…
Contrastive Graph Neural Network Explanation
Lukas Faber, Amin K. Moghaddam, Roger Wattenhofer
Graph Neural Networks achieve remarkable results on problems with structured data but come as black-box predictors. Transferring existing explanation techniques, such as occlusion,…
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples
Zhao Meng, Roger Wattenhofer
Generating adversarial examples for natural language is hard, as natural language consists of discrete symbols, and examples are often of variable lengths. In this paper, we propos…
Brain2Word: Decoding Brain Activity for Language Generation
Nicolas Affolter, Beni Egressy, Damian Pascual +1
Brain decoding, understood as the process of mapping brain activities to the stimuli that generated them, has been an active research area in the last years. In the case of languag…