activity
20202025
most citedSurvey of Hallucination in Natural Language Generation

4.5k citations · 5k across the 22 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CL2022★ 9 cited

NusaCrowd: Open Source Initiative for Indonesian NLP Resources

Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji +44

We present NusaCrowd, a collaborative initiative to collect and unify existing resources for Indonesian languages, including opening access to previously non-public resources. Thro…

cs.CL2022★ 5 cited

RHO (): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding

Ziwei Ji, Zihan Liu, Nayeon Lee +4

Dialogue systems can leverage large pre-trained language models and knowledge to generate fluent and informative responses. However, these models are still prone to produce halluci…

cs.CL2022★ 2 cited

Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training

Wenliang Dai, Zihan Liu, Ziwei Ji +2

Large-scale vision-language pre-trained (VLP) models are prone to hallucinate non-existent visual objects when generating text based on visual information. In this paper, we system…

cs.CL2022★ 2 cited

VScript: Controllable Script Generation with Visual Presentation

Ziwei Ji, Yan Xu, I-Tsun Cheng +6

In order to offer a customized script tool and inspire professional scriptwriters, we present VScript. It is a controllable pipeline that generates complete scripts, including dial…

cs.CL2022★ 4.5k cited

Survey of Hallucination in Natural Language Generation

Ziwei Ji, Nayeon Lee, Rita Frieske +10

Natural Language Generation (NLG) has improved exponentially in recent years thanks to the development of sequence-to-sequence deep learning technologies such as Transformer-based…