Summary of On Limitations Of Llm As Annotator For Low Resource Languages, by Suramya Jadhav et al.
On Limitations of LLM as Annotator for Low Resource Languagesby Suramya Jadhav, Abhay Shanbhag, Amogh…
On Limitations of LLM as Annotator for Low Resource Languagesby Suramya Jadhav, Abhay Shanbhag, Amogh…
Non-Contextual BERT or FastText? A Comparative Analysisby Abhay Shanbhag, Suramya Jadhav, Amogh Thakurdesai, Ridhima Sinare,…
Improving Next Tokens via Second-to-Last Predictions with Generate and Refineby Johannes SchneiderFirst submitted to arxiv…
Development of Pre-Trained Transformer-based Models for the Nepali Languageby Prajwal Thapa, Jinu Nyachhyon, Mridul Sharma,…
Inducing Human-like Biases in Moral Reasoning Language Modelsby Artem Karpov, Seong Hah Cho, Austin Meek,…
A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Redditby Khalid…
An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domainsby Arthur…
BERT-Based Approach for Automating Course Articulation Matrix Construction with Explainable AIby Natenaile Asmamaw Shiferaw, Simpenzwe…
SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanismby Priyansh Bhatnagar, Linfeng Wen,…
Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applicationsby Ankita Agarwal,…