Search Results - "Alhafni, Bashar"

Perception, performance, and detectability of conversational artificial intelligence across 32 university courses by Ibrahim, Hazem, Liu, Fengyuan, Asim, Rohail, Battu, Balaraju, Benabderrahmane, Sidahmed, Alhafni, Bashar, Adnan, Wifag, Alhanai, Tuka, AlShebli, Bedoor, Baghdadi, Riyadh, Bélanger, Jocelyn J., Beretta, Elena, Celik, Kemal, Chaqfeh, Moumena, Daqaq, Mohammed F., Bernoussi, Zaynab El, Fougnie, Daryl, Garcia de Soto, Borja, Gandolfi, Alberto, Gyorgy, Andras, Habash, Nizar, Harris, J. Andrew, Kaufman, Aaron, Kirousis, Lefteris, Kocak, Korhan, Lee, Kangsan, Lee, Seungah S., Malik, Samreen, Maniatakos, Michail, Melcher, David, Mourad, Azzam, Park, Minsu, Rasras, Mahmoud, Reuben, Alicja, Zantout, Dania, Gleason, Nancy W., Makovi, Kinga, Rahwan, Talal, Zaki, Yasir

“…The emergence of large language models has led to the development of powerful tools such as ChatGPT that can produce text indistinguishable from…”
Get full text

Author Correction: Perception, performance, and detectability of conversational artificial intelligence across 32 university courses by Ibrahim, Hazem, Liu, Fengyuan, Asim, Rohail, Battu, Balaraju, Benabderrahmane, Sidahmed, Alhafni, Bashar, Adnan, Wifag, Alhanai, Tuka, AlShebli, Bedoor, Baghdadi, Riyadh, Bélanger, Jocelyn J., Beretta, Elena, Celik, Kemal, Chaqfeh, Moumena, Daqaq, Mohammed F., Bernoussi, Zaynab El, Fougnie, Daryl, de Soto, Borja Garcia, Gandolfi, Alberto, Gyorgy, Andras, Habash, Nizar, Harris, J. Andrew, Kaufman, Aaron, Kirousis, Lefteris, Kocak, Korhan, Lee, Kangsan, Lee, Seungah S., Malik, Samreen, Maniatakos, Michail, Melcher, David, Mourad, Azzam, Park, Minsu, Rasras, Mahmoud, Reuben, Alicja, Zantout, Dania, Gleason, Nancy W., Makovi, Kinga, Rahwan, Talal, Zaki, Yasir

Get full text

Strategies for Arabic Readability Modeling by Liberato, Juan Piñeros, Alhafni, Bashar, Khalil, Muhamed Al, Habash, Nizar

“…Automatic readability assessment is relevant to building NLP applications for education, content analysis, and accessibility. However, Arabic readability…”
Get full text

The User-Aware Arabic Gender Rewriter by Alhafni, Bashar, Obeid, Ossama, Habash, Nizar

“…We introduce the User-Aware Arabic Gender Rewriter, a user-centric web-based system for Arabic gender rewriting in contexts involving two users. The system…”
Get full text

mEdIT: Multilingual Text Editing via Instruction Tuning by Raheja, Vipul, Alikaniotis, Dimitris, Kulkarni, Vivek, Alhafni, Bashar, Kumar, Dhruv

“…We introduce mEdIT, a multi-lingual extension to CoEdIT -- the recent state-of-the-art text editing models for writing assistance. mEdIT models are trained by…”
Get full text

Personalized Text Generation with Fine-Grained Linguistic Control by Alhafni, Bashar, Kulkarni, Vivek, Kumar, Dhruv, Raheja, Vipul

“…As the text generation capabilities of large language models become increasingly prominent, recent studies have focused on controlling particular aspects of…”
Get full text

User-Centric Gender Rewriting by Alhafni, Bashar, Habash, Nizar, Bouamor, Houda

“…In this paper, we define the task of gender rewriting in contexts involving two users (I and/or You) - first and second grammatical persons with independent…”
Get full text

The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses by Alhafni, Bashar, Habash, Nizar, Bouamor, Houda

“…Gender bias in natural language processing (NLP) applications, particularly machine translation, has been receiving increasing attention. Much of the research…”
Get full text

Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation by Alhafni, Bashar, Inoue, Go, Khairallah, Christian, Habash, Nizar

“…Grammatical error correction (GEC) is a well-explored problem in English with many existing models and datasets. However, research on GEC in morphologically…”
Get full text

LLMs in Education: Novel Perspectives, Challenges, and Opportunities by Alhafni, Bashar, Vajjala, Sowmya, Bannò, Stefano, Maurya, Kaushal Kumar, Kochmar, Ekaterina

“…The role of large language models (LLMs) in education is an increasing area of interest today, considering the new opportunities they offer for teaching,…”
Get full text

Exploiting Dialect Identification in Automatic Dialectal Text Normalization by Alhafni, Bashar, Al-Towaity, Sarah, Fawzy, Ziyad, Nassar, Fatema, Eryani, Fadhl, Bouamor, Houda, Habash, Nizar

“…Dialectal Arabic is the primary spoken language used by native Arabic speakers in daily communication. The rise of social media platforms has notably expanded…”
Get full text

The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models by Inoue, Go, Alhafni, Bashar, Baimukan, Nurpeiis, Bouamor, Houda, Habash, Nizar

“…In this paper, we explore the effects of language variants, data sizes, and fine-tuning task types in Arabic pre-trained language models. To do so, we build…”
Get full text

CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization by Faghihi, Hossein Rajaby, Alhafni, Bashar, Zhang, Ke, Ran, Shihao, Tetreault, Joel, Jaimes, Alejandro

“…Social media has increasingly played a key role in emergency response: first responders can use public posts to better react to ongoing crisis events and…”
Get full text

Arabic Word-level Readability Visualization for Assisted Text Simplification by Hazim, Reem, Saddiki, Hind, Alhafni, Bashar, Khalil, Muhamed Al, Habash, Nizar

“…This demo paper presents a Google Docs add-on for automatic Arabic word-level readability visualization. The add-on includes a lemmatization component that is…”
Get full text

Zero-shot Cross-Linguistic Learning of Event Semantics by Alikhani, Malihe, Kober, Thomas, Alhafni, Bashar, Chen, Yue, Inan, Mert, Nielsen, Elizabeth, Raji, Shahab, Steedman, Mark, Stone, Matthew

“…Typologically diverse languages offer systems of lexical and grammatical aspect that allow speakers to focus on facets of event structure in ways that comport…”
Get full text

Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding by Han, Rujun, Liang, Mengyue, Alhafni, Bashar, Peng, Nanyun

“…Learning causal and temporal relationships between events is an important step towards deeper story and commonsense understanding. Though there are abundant…”
Get full text

The Shared Task on Gender Rewriting by Alhafni, Bashar, Habash, Nizar, Bouamor, Houda, Obeid, Ossama, Alrowili, Sultan, Alzeer, Daliyah, Alshanqiti, Khawlah M, ElBakry, Ahmed, ElNokrashy, Muhammad, Gabr, Mohamed, Issam, Abderrahmane, Qaddoumi, Abdelrahim, Vijay-Shanker, K, Zyate, Mahmoud

“…In this paper, we present the results and findings of the Shared Task on Gender Rewriting, which was organized as part of the Seventh Arabic Natural Language…”
Get full text

Mapping Areas using Computer Vision Algorithms and Drones by Alhafni, Bashar, Guedes, Saulo Fernando, Ribeiro, Lays Cavalcante, Park, Juhyun, Lee, Jeongkyu

“…The goal of this paper is to implement a system, titled as Drone Map Creator (DMC) using Computer Vision techniques. DMC can process visual information from an…”
Get full text

Perception, performance, and detectability of conversational artificial intelligence across 32 university courses by Ibrahim, Hazem, Liu, Fengyuan, Asim, Rohail, Battu, Balaraju, Benabderrahmane, Sidahmed, Alhafni, Bashar, Adnan, Wifag, Alhanai, Tuka, AlShebli, Bedoor, Baghdadi, Riyadh, Bélanger, Jocelyn J, Beretta, Elena, Celik, Kemal, Chaqfeh, Moumena, Daqaq, Mohammed F, Bernoussi, Zaynab El, Fougnie, Daryl, de Soto, Borja Garcia, Gandolfi, Alberto, Gyorgy, Andras, Habash, Nizar, Harris, J. Andrew, Kaufman, Aaron, Kirousis, Lefteris, Kocak, Korhan, Lee, Kangsan, Lee, Seungah S, Malik, Samreen, Maniatakos, Michail, Melcher, David, Mourad, Azzam, Park, Minsu, Rasras, Mahmoud, Reuben, Alicja, Zantout, Dania, Gleason, Nancy W, Makovi, Kinga, Rahwan, Talal, Zaki, Yasir

“…The emergence of large language models has led to the development of powerful tools such as ChatGPT that can produce text indistinguishable from…”
Get full text