23 citations · 24 across the 4 of their papers we have counts for
5 papers
Bilingual Adaptation of Monolingual Foundation Models
Gurpreet Gosal, Yishi Xu, Gokul Ramakrishnan +19
We present an efficient method for adapting a monolingual Large Language Model (LLM) to another language, addressing challenges of catastrophic forgetting and tokenizer limitations…
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models
Neha Sengupta, Sunil Kumar Sahu, Bokang Jia +29
We introduce Jais and Jais-chat, new state-of-the-art Arabic-centric foundation and instruction-tuned open generative large language models (LLMs). The models are based on the GPT-…
Finding Minimum Connected Subgraphs with Ontology Exploration on Large RDF Data
Xiangnan Ren, Neha Sengupta, Xuguang Ren +2
In this paper, we study the following problem: given a knowledge graph (KG) and a set of input vertices (representing concepts or entities) and edge labels, we aim to find the smal…
Relation Extraction with Self-determined Graph Convolutional Network
Sunil Kumar Sahu, Derek Thomas, Billy Chiu +2
Relation Extraction is a way of obtaining the semantic relationship between entities in text. The state-of-the-art methods use linguistic tools to build a graph for the text in whi…
Sampling and Reconstruction Using Bloom Filters
Neha Sengupta, Amitabha Bagchi, Srikanta Bedathur +1
In this paper, we address the problem of sampling from a set and reconstructing a set stored as a Bloom filter. To the best of our knowledge our work is the first to address this q…