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Found 5 papers, 5 papers with code
Zero-Shot Stance Detection using Contextual Data Generation with LLMs
This method could enhance performance by allowing the adaptation of the model to new topics.
IUST at ClimateActivism 2024: Towards Optimal Stance Detection: A Systematic Study of Architectural Choices and Data Cleaning Techniques
This work presents a systematic search of various model architecture configurations and data cleaning methods.
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language Models
It introduces two tasks: passage retrieval and reading comprehension.
Exploring Prompting Large Language Models as Explainable Metrics
This paper describes the IUST NLP Lab submission to the Prompting Large Language Models as Explainable Metrics Shared Task at the Eval4NLP 2023 Workshop on Evaluation & Comparison of NLP Systems.
LXMERT Model Compression for Visual Question Answering
Large-scale pretrained models such as LXMERT are becoming popular for learning cross-modal representations on text-image pairs for vision-language tasks.
Ranked #1 on
Visual Question Answering
on VQA v2 test-std
