14 citations · 31 across the 28 of their papers we have counts for
12 papers · 1 filter
Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025)
Hansi Hettiarachchi, Tharindu Ranasinghe, Paul Rayson +5
The first Workshop on Language Models for Low-Resource Languages (LoResLM 2025) was held in conjunction with the 31st International Conference on Computational Linguistics (COLING…
Text Generation Models for Luxembourgish with Limited Data: A Balanced Multilingual Strategy
Alistair Plum, Tharindu Ranasinghe, Christoph Purschke
This paper addresses the challenges in developing language models for less-represented languages, with a focus on Luxembourgish. Despite its active development, Luxembourgish faces…
A Survey of Multimodal Sarcasm Detection
Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia +2
Sarcasm is a rhetorical device that is used to convey the opposite of the literal meaning of an utterance. Sarcasm is widely used on social media and other forms of computer-mediat…
What do Large Language Models Need for Machine Translation Evaluation?
Shenbin Qian, Archchana Sindhujan, Minnie Kabra +4
Leveraging large language models (LLMs) for various natural language processing tasks has led to superlative claims about their performance. For the evaluation of machine translati…
Rater Cohesion and Quality from a Vicarious Perspective
Deepak Pandita, Tharindu Cyril Weerasooriya, Sujan Dutta +5
Human feedback is essential for building human-centered AI systems across domains where disagreement is prevalent, such as AI safety, content moderation, or sentiment analysis. Man…
Towards Generalized Offensive Language Identification
Alphaeus Dmonte, Tejas Arya, Tharindu Ranasinghe +1
The prevalence of offensive content on the internet, encompassing hate speech and cyberbullying, is a pervasive issue worldwide. Consequently, it has garnered significant attention…
A Federated Learning Approach to Privacy Preserving Offensive Language Identification
Marcos Zampieri, Damith Premasiri, Tharindu Ranasinghe
The spread of various forms of offensive speech online is an important concern in social media. While platforms have been investing heavily in ways of coping with this problem, the…
CSEPrompts: A Benchmark of Introductory Computer Science Prompts
Nishat Raihan, Dhiman Goswami, Sadiya Sayara Chowdhury Puspo +3
Recent advances in AI, machine learning, and NLP have led to the development of a new generation of Large Language Models (LLMs) that are trained on massive amounts of data and oft…
DORE: A Dataset For Portuguese Definition Generation
Anna Beatriz Dimas Furtado, Tharindu Ranasinghe, Frédéric Blain +1
Definition modelling (DM) is the task of automatically generating a dictionary definition for a specific word. Computational systems that are capable of DM can have numerous applic…
Guided Distant Supervision for Multilingual Relation Extraction Data: Adapting to a New Language
Alistair Plum, Tharindu Ranasinghe, Christoph Purschke
Relation extraction is essential for extracting and understanding biographical information in the context of digital humanities and related subjects. There is a growing interest in…
NSINA: A News Corpus for Sinhala
Hansi Hettiarachchi, Damith Premasiri, Lasitha Uyangodage +1
The introduction of large language models (LLMs) has advanced natural language processing (NLP), but their effectiveness is largely dependent on pre-training resources. This is esp…
MultiLS: A Multi-task Lexical Simplification Framework
Kai North, Tharindu Ranasinghe, Matthew Shardlow +1
Lexical Simplification (LS) automatically replaces difficult to read words for easier alternatives while preserving a sentence's original meaning. LS is a precursor to Text Simplif…