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Found 7 papers, 2 papers with code
Learning to Plan and Generate Text with Citations
The increasing demand for the deployment of LLMs in information-seeking scenarios has spurred efforts in creating verifiable systems, which generate responses to queries along with supporting evidence.
MuLan: A Study of Fact Mutability in Language Models
Facts are subject to contingencies and can be true or false in different circumstances.
$μ$PLAN: Summarizing using a Content Plan as Cross-Lingual Bridge
Cross-lingual summarization consists of generating a summary in one language given an input document in a different language, allowing for the dissemination of relevant content across speakers of other languages.
Factual Consistency of Multilingual Pretrained Language Models
However, for that, we need to know how reliable this knowledge is, and recent work has shown that monolingual English language models lack consistency when predicting factual knowledge, that is, they fill-in-the-blank differently for paraphrases describing the same fact.
Challenges and Strategies in Cross-Cultural NLP
Various efforts in the Natural Language Processing (NLP) community have been made to accommodate linguistic diversity and serve speakers of many different languages.
Predicting Unplanned Readmissions with Highly Unstructured Data
Deep learning techniques have been successfully applied to predict unplanned readmissions of patients in medical centers.
200K+ Crowdsourced Political Arguments for a New Chilean Constitution
In this paper we present the dataset of 200, 000+ political arguments produced in the local phase of the 2016 Chilean constitutional process.
