Search Results for author:
Found 7 papers, 4 papers with code
Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages
To bridge this quality gap, we introduce Cendol, a collection of Indonesian LLMs encompassing both decoder-only and encoder-decoder architectures across a range of model sizes.
BEnQA: A Question Answering and Reasoning Benchmark for Bengali and English
In this study, we introduce BEnQA, a dataset comprising parallel Bengali and English exam questions for middle and high school levels in Bangladesh.
Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese
Large Language Models (LLMs) are increasingly being used to generate synthetic data for training and evaluating models.
NusaCrowd: Open Source Initiative for Indonesian NLP Resources
We present NusaCrowd, a collaborative initiative to collect and unify existing resources for Indonesian languages, including opening access to previously non-public resources.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension
Machine Reading Comprehension (MRC) has become one of the essential tasks in Natural Language Understanding (NLU) as it is often included in several NLU benchmarks (Liang et al., 2020; Wilie et al., 2020).
Machine Reading Comprehension
Natural Language Understanding
+1
Rethinking Annotation: Can Language Learners Contribute?
Researchers have traditionally recruited native speakers to provide annotations for widely used benchmark datasets.
Aligning Open IE Relations and KB Relations using a Siamese Network Based on Word Embedding
Open Information Extraction (Open IE) aims at generating entity-relation-entity triples from a large amount of text, aiming at capturing key semantics of the text.
