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Found 9 papers, 8 papers with code
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
Inspired by human cognition, Jiang et al.(2023c) create a benchmark for assessing LLMs' lateral thinking-thinking outside the box.
Benchmarking Large Language Models for Persian: A Preliminary Study Focusing on ChatGPT
This paper explores the efficacy of large language models (LLMs) for Persian.
BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes
Memes, combining text and images, frequently use metaphors to convey persuasive messages, shaping public opinion.
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning
This paper proposes LM-CPPF, Contrastive Paraphrasing-guided Prompt-based Fine-tuning of Language Models, which leverages prompt-based few-shot paraphrasing using generative language models, especially large language models such as GPT-3 and OPT-175B, for data augmentation.
Ranked #2 on
Sentiment Analysis
on CR
PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document Generation
Multilingual pre-training on monolingual data ignores the availability of parallel data in many language pairs.
A Large-Scale Analysis of Persian Tweets Regarding Covid-19 Vaccination
The Covid-19 pandemic had an enormous effect on our lives, especially on people's interactions.
Persian Emotion Detection using ParsBERT and Imbalanced Data Handling Approaches
EmoPars and ArmanEmo are two new human-labeled emotion datasets for the Persian language.
UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentation
Using RoBERTa and mutation-based data augmentation, our best approach achieved an F1-sarcastic of 0. 38 in the competition's evaluation phase.
Ranked #1 on
Sarcasm Detection
on iSarcasm
Automatic Speech Recognition for Speech Assessment of Persian Preschool Children
To overcome this issue, we added a new objective to the masking objective of the Wav2Vec 2. 0 model called Random Frequency Pitch (RFP).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
