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Author search results
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- Mona T. Diab
aka: Mona Talat Diab
George Washington University, Department of Computer Science, Washington, DC, USA
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Publication search results
found 267 matches
- 2024
- Muhammad N. ElNokrashy, Badr AlKhamissi, Mona T. Diab:
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification. LREC/COLING 2024: 4665-4674 - Peter Henderson
, Jieru Hu
, Mona T. Diab
, Joelle Pineau
:
Rethinking Machine Learning Benchmarks in the Context of Professional Codes of Conduct. CSLAW 2024: 109-120 - Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf:
Can Large Language Models Infer Causation from Correlation? ICLR 2024 - Jia Xu, Mona Diab:
A Note on Bias to Complete. CoRR abs/2402.11710 (2024) - Badr AlKhamissi, Muhammad N. ElNokrashy, Mai AlKhamissi, Mona T. Diab:
Investigating Cultural Alignment of Large Language Models. CoRR abs/2402.13231 (2024) - Shabnam Tafreshi, Shubham Vatsal, Mona T. Diab:
Emotion Classification in Low and Moderate Resource Languages. CoRR abs/2402.18424 (2024) - Zhijing Jin, Yuen Chen, Fernando Gonzalez, Jiarui Liu, Jiayi Zhang, Julian Michael, Bernhard Schölkopf, Mona T. Diab:
Analyzing the Role of Semantic Representations in the Era of Large Language Models. CoRR abs/2405.01502 (2024) - Jiarui Liu, Wenkai Li, Zhijing Jin, Mona T. Diab:
Automatic Generation of Model and Data Cards: A Step Towards Responsible AI. CoRR abs/2405.06258 (2024) - Andy Liu, Mona Diab, Daniel Fried:
Evaluating Large Language Model Biases in Persona-Steered Generation. CoRR abs/2405.20253 (2024) - Aashiq Muhamed, Oscar Li, David Woodruff, Mona Diab, Virginia Smith:
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients. CoRR abs/2406.17660 (2024) - 2023
- Muhammad Huzaifa Bashir, Aqil M. Azmi, Haq Nawaz, Wajdi Zaghouani, Mona T. Diab, Ala I. Al-Fuqaha
, Junaid Qadir
:
Arabic natural language processing for Qur'anic research: a systematic review. Artif. Intell. Rev. 56(7): 6801-6854 (2023) - Muhammad Huzaifa Bashir, Aqil M. Azmi, Haq Nawaz, Wajdi Zaghouani, Mona T. Diab, Ala I. Al-Fuqaha
, Junaid Qadir
:
Author Correction: Arabic natural language processing for Qur'anic research: a systematic review. Artif. Intell. Rev. 56(11): 13951-13952 (2023) - Mohammad Yamin
, Sarah Basahel, Saleh Bajaba, Mona Abusurrah, E. Laxmi Lydia:
Leveraging Retinal Fundus Images with Deep Learning for Diabetic Retinopathy Grading and Classification. Comput. Syst. Sci. Eng. 46(2): 1901-1916 (2023) - Yitayeh Belsti
, Lisa Moran, Lan Du
, Aya Mousa
, Kushan De Silva
, Joanne Enticott
, Helena Teede:
Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine learning model. Int. J. Medical Informatics 179: 105228 (2023) - Monalisa Anand, P. Danumjaya
, P. Raja Sekhara Rao:
A nonlinear mathematical model on the Covid-19 transmission pattern among diabetic and non-diabetic population. Math. Comput. Simul. 210: 346-369 (2023) - Amal AlQahtani, Rana Aref Salama, Mona Talat Diab, Abdou Youssef:
Care4Lang at MEDIQA-Chat 2023: Fine-tuning Language Models for Classifying and Summarizing Clinical Dialogues. ClinicalNLP@ACL 2023: 524-528 - Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissi, Siddharth Verma, Zhijing Jin, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz:
ALERT: Adapt Language Models to Reasoning Tasks. ACL (1) 2023: 1055-1081 - Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer:
Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models. EACL 2023: 2706-2723 - Mona Adlakha
, Sameena Naaz
, Sherin Zafar
, M. Afshar Alam
:
Deep Learning Approach for Accurate Prediction of diabetes. ICIMMI 2023: 6:1-6:6 - Elizabeth Salesky, Kareem Darwish, Mohamed Al-Badrashiny, Mona T. Diab, Jan Niehues:
Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology. IWSLT@ACL 2023: 62-78 - Badr AlKhamissi, Siddharth Verma, Ping Yu, Zhijing Jin, Asli Celikyilmaz, Mona T. Diab:
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models. CoRR abs/2305.12001 (2023) - Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf:
Can Large Language Models Infer Causation from Correlation? CoRR abs/2306.05836 (2023) - 2022
- Amal AlQahtani, Efsun Sarioglu Kayi, Sardar Hamidian, Michael Compton, Mona T. Diab:
A Quantitative and Qualitative Analysis of Schizophrenia Language. LOUHI@EMNLP 2022: 173-183 - A. Stevie Bergman, Mona T. Diab:
Towards Responsible Natural Language Annotation for the Varieties of Arabic. ACL (Findings) 2022: 364-371 - Daniel Licht, Cynthia Gao, Janice Lam, Francisco Guzmán, Mona T. Diab, Philipp Koehn:
Consistent Human Evaluation of Machine Translation across Language Pairs. AMTA 2022: 309-321 - Badr AlKhamissi, Faisal Ladhak, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva, Xian Li, Pascale Fung, Lambert Mathias, Asli Celikyilmaz, Mona T. Diab:
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection. EMNLP 2022: 2109-2120 - Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP 2022: 11699-11732 - Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li:
Few-shot Learning with Multilingual Generative Language Models. EMNLP 2022: 9019-9052 - Mona Alotaibi
, Mike Joy
:
Internet of Things Support System for Diabetic Students: An Exploratory Study. FTC (2) 2022: 274-283 - Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab:
Text Characterization Toolkit (TCT). AACL/IJCNLP (System Demonstrations) 2022: 72-87
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