1 code implementation • 3 Apr 2024 • Amirhossein Abaskohi, Sara Baruni, Mostafa Masoudi, Nesa Abbasi, Mohammad Hadi Babalou, Ali Edalat, Sepehr Kamahi, Samin Mahdizadeh Sani, Nikoo Naghavian, Danial Namazifard, Pouya Sadeghi, Yadollah Yaghoobzadeh
This paper explores the efficacy of large language models (LLMs) for Persian.
1 code implementation • 3 Apr 2024 • Amirhossein Abaskohi, Amirhossein Dabiriaghdam, Lele Wang, Giuseppe Carenini
Memes, combining text and images, frequently use metaphors to convey persuasive messages, shaping public opinion.
1 code implementation • 3 Apr 2024 • Pouya Sadeghi, Amirhossein Abaskohi, Yadollah Yaghoobzadeh
Inspired by human cognition, Jiang et al.(2023c) create a benchmark for assessing LLMs' lateral thinking-thinking outside the box.
1 code implementation • 29 May 2023 • Amirhossein Abaskohi, Sascha Rothe, Yadollah Yaghoobzadeh
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
1 code implementation • 3 Apr 2023 • Alireza Salemi, Amirhossein Abaskohi, Sara Tavakoli, Yadollah Yaghoobzadeh, Azadeh Shakery
Multilingual pre-training on monolingual data ignores the availability of parallel data in many language pairs.
no code implementations • 9 Feb 2023 • Taha ShabaniMirzaei, Houmaan Chamani, Amirhossein Abaskohi, Zhivar Sourati Hassan Zadeh, Behnam Bahrak
The Covid-19 pandemic had an enormous effect on our lives, especially on people's interactions.
1 code implementation • 15 Nov 2022 • Amirhossein Abaskohi, Nazanin Sabri, Behnam Bahrak
EmoPars and ArmanEmo are two new human-labeled emotion datasets for the Persian language.
2 code implementations • SemEval (NAACL) 2022 • Amirhossein Abaskohi, Arash Rasouli, Tanin Zeraati, Behnam Bahrak
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
1 code implementation • 24 Mar 2022 • Amirhossein Abaskohi, Fatemeh Mortazavi, Hadi Moradi
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