Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Mirroshandel, Seyed Abolghasem"'
Autor:
Neshaei, Seyed Parsa, Boreshban, Yasaman, Ghassem-Sani, Gholamreza, Mirroshandel, Seyed Abolghasem
Transformer-based models have made remarkable advancements in various NLP areas. Nevertheless, these models often exhibit vulnerabilities when confronted with adversarial attacks. In this paper, we explore the effect of quantization on the robustness
Externí odkaz:
http://arxiv.org/abs/2403.05365
Autor:
Soubki, Adil, Murzaku, John, Jordehi, Arash Yousefi, Zeng, Peter, Markowska, Magdalena, Mirroshandel, Seyed Abolghasem, Rambow, Owen
Publikováno v:
ACL 2024 Findings
Evaluating the theory of mind (ToM) capabilities of language models (LMs) has recently received a great deal of attention. However, many existing benchmarks rely on synthetic data, which risks misaligning the resulting experiments with human behavior
Externí odkaz:
http://arxiv.org/abs/2403.02451
Autor:
Markowska, Magdalena, Taghizadeh, Mohammad, Soubki, Adil, Mirroshandel, Seyed Abolghasem, Rambow, Owen
Publikováno v:
Findings of EMNLP 2023
When we communicate with other humans, we do not simply generate a sequence of words. Rather, we use our cognitive state (beliefs, desires, intentions) and our model of the audience's cognitive state to create utterances that affect the audience's co
Externí odkaz:
http://arxiv.org/abs/2311.01273
Autor:
Khanmohammadi, Reza, Mirshafiee, Mitra Sadat, Jouryabi, Yazdan Rezaee, Mirroshandel, Seyed Abolghasem
Persian Poetry has consistently expressed its philosophy, wisdom, speech, and rationale on the basis of its couplets, making it an enigmatic language on its own to both native and non-native speakers. Nevertheless, the notice able gap between Persian
Externí odkaz:
http://arxiv.org/abs/2109.14934
Autor:
Boreshban, Yasaman, Mirbostani, Seyed Morteza, Ghassem-Sani, Gholamreza, Mirroshandel, Seyed Abolghasem, Amiriparian, Shahin
Contemporary question answering (QA) systems, including transformer-based architectures, suffer from increasing computational and model complexity which render them inefficient for real-world applications with limited resources. Further, training or
Externí odkaz:
http://arxiv.org/abs/2109.12662
Recent developments in Text Style Transfer have led this field to be more highlighted than ever. The task of transferring an input's style to another is accompanied by plenty of challenges (e.g., fluency and content preservation) that need to be take
Externí odkaz:
http://arxiv.org/abs/2009.01040
This paper focuses on how to extract opinions over each Persian sentence-level text. Deep learning models provided a new way to boost the quality of the output. However, these architectures need to feed on big annotated data as well as an accurate de
Externí odkaz:
http://arxiv.org/abs/2004.05328
Sentiment analysis refers to the use of natural language processing to identify and extract subjective information from textual resources. One approach for sentiment extraction is using a sentiment lexicon. A sentiment lexicon is a set of words assoc
Externí odkaz:
http://arxiv.org/abs/1911.05263
Autor:
Boreshban, Yasaman, Mirbostani, Seyed Morteza, Ghassem-Sani, Gholamreza, Mirroshandel, Seyed Abolghasem, Amiriparian, Shahin
Publikováno v:
In Engineering Applications of Artificial Intelligence August 2023 123 Part A
Publikováno v:
Expert Systems with Applications, 2021
Male infertility is a disease which affects approximately 7% of men. Sperm morphology analysis (SMA) is one of the main diagnosis methods for this problem. Manual SMA is an inexact, subjective, non-reproducible, and hard to teach process. As a result
Externí odkaz:
http://arxiv.org/abs/1909.09432