20 citations · 22 across the 5 of their papers we have counts for
7 papers
Prompting and Fine-Tuning of Small LLMs for Length-Controllable Telephone Call Summarization
David Thulke, Yingbo Gao, Rricha Jalota +2
This paper explores the rapid development of a telephone call summarization system utilizing large language models (LLMs). Our approach involves initial experiments with prompting…
Towards a World-English Language Model for On-Device Virtual Assistants
Rricha Jalota, Lyan Verwimp, Markus Nussbaum-Thom +3
Neural Network Language Models (NNLMs) for Virtual Assistants (VAs) are generally language-, region-, and in some cases, device-dependent, which increases the effort to scale and m…
ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change
David Thulke, Yingbo Gao, Petrus Pelser +23
This paper introduces ClimateGPT, a model family of domain-specific large language models that synthesize interdisciplinary research on climate change. We trained two 7B models fro…
Translating away Translationese without Parallel Data
Rricha Jalota, Koel Dutta Chowdhury, Cristina España-Bonet +1
Translated texts exhibit systematic linguistic differences compared to original texts in the same language, and these differences are referred to as translationese. Translationese…
Towards Debiasing Translation Artifacts
Koel Dutta Chowdhury, Rricha Jalota, Cristina España-Bonet +1
Cross-lingual natural language processing relies on translation, either by humans or machines, at different levels, from translating training data to translating test sets. However…
Knowledge Graph Question Answering using Graph-Pattern Isomorphism
Daniel Vollmers, Rricha Jalota, Diego Moussallem +3
Knowledge Graph Question Answering (KGQA) systems are based on machine learning algorithms, requiring thousands of question-answer pairs as training examples or natural language pr…
I-AID: Identifying Actionable Information from Disaster-related Tweets
Hamada M. Zahera, Rricha Jalota, Mohamed A. Sherif +1
Social media plays a significant role in disaster management by providing valuable data about affected people, donations and help requests. Recent studies highlight the need to fil…