activity
20152023
most citedMultiplicative LSTM for sequence modelling

86 citations · 286 across the 17 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2023★ 4 cited

XGen-7B Technical Report

Erik Nijkamp, Tian Xie, Hiroaki Hayashi +22

Large Language Models (LLMs) have become ubiquitous across various domains, transforming the way we interact with information and conduct research. However, most high-performing LL…

cs.CL2020★ 5 cited

GeDi: Generative Discriminator Guided Sequence Generation

Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann +4

While large-scale language models (LMs) are able to imitate the distribution of natural language well enough to generate realistic text, it is difficult to control which regions of…

cs.CL2020★ 28 cited

Explaining and Improving Model Behavior with k Nearest Neighbor Representations

Nazneen Fatema Rajani, Ben Krause, Wengpeng Yin +3

Interpretability techniques in NLP have mainly focused on understanding individual predictions using attention visualization or gradient-based saliency maps over tokens. We propose…

cs.CL2018★ 13 cited

Talking to myself: self-dialogues as data for conversational agents

Joachim Fainberg, Ben Krause, Mihai Dobre +5

Conversational agents are gaining popularity with the increasing ubiquity of smart devices. However, training agents in a data driven manner is challenging due to a lack of suitabl…

cs.CL2017★ 24 cited

Edina: Building an Open Domain Socialbot with Self-dialogues

Ben Krause, Marco Damonte, Mihai Dobre +6

We present Edina, the University of Edinburgh's social bot for the Amazon Alexa Prize competition. Edina is a conversational agent whose responses utilize data harvested from Amazo…