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Yara Rizk
Person information
- affiliation: IBM Research, Cambridge, MA, USA
- affiliation (former): American University of Beirut, Lebanon
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2020 – today
- 2024
- [c24]Walter Gerych, Yara Rizk, Vatche Isahagian, Vinod Muthusamy, Evelyn Duesterwald, Praveen Venkateswaran:
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search. AAAI 2024: 18065-18072 - [i13]Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR abs/2407.00121 (2024) - [i12]Kinjal Basu, Ibrahim Abdelaziz, Kelsey Bradford, Maxwell Crouse, Kiran Kate, Sadhana Kumaravel, Saurabh Goyal, Asim Munawar, Yara Rizk, Xin Wang, Luis A. Lastras, Pavan Kapanipathi:
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. CoRR abs/2409.03797 (2024) - 2023
- [j8]Iris Beerepoot
, Claudio Di Ciccio
The biggest business process management problems to solve before we die. Comput. Ind. 146: 103837 (2023) - [c23]Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Austin Narcomey, Vinod Muthusamy:
A Case for Business Process-Specific Foundation Models. Business Process Management Workshops 2023: 44-56 - [c22]Siyu Huo, Kushal Mukherjee, Jayachandu Bandlamudi, Vatche Isahagian, Vinod Muthusamy, Yara Rizk:
Accelerating the Support of Conversational Interfaces for RPAs Through APIs. BPM (Blockchain and RPA Forum) 2023: 165-180 - [c21]Vinod Muthusamy, Yara Rizk, Kiran Kate, Praveen Venkateswaran, Vatche Isahagian, Ashu Gulati, Parijat Dube:
Towards large language model-based personal agents in the enterprise: Current trends and open problems. EMNLP (Findings) 2023: 6909-6921 - [c20]Ankita Bhaumik, Praveen Venkateswaran, Yara Rizk, Vatche Isahagian:
TaskDiff: A Similarity Metric for Task-Oriented Conversations. EMNLP 2023: 16234-16240 - [i11]Ankita Bhaumik, Praveen Venkateswaran, Yara Rizk, Vatche Isahagian:
TaskDiff: A Similarity Metric for Task-Oriented Conversations. CoRR abs/2310.15298 (2023) - [i10]Burak Aksar, Yara Rizk, Tathagata Chakraborti:
TESS: A Multi-intent Parser for Conversational Multi-Agent Systems with Decentralized Natural Language Understanding Models. CoRR abs/2312.11828 (2023) - 2022
- [c19]Tathagata Chakraborti, Yara Rizk, Vatche Isahagian, Burak Aksar
From Natural Language to Workflows: Towards Emergent Intelligence in Robotic Process Automation. BPM (Blockchain and RPA Forum) 2022: 123-137 - [c18]Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy, Kartik Talamadupula:
Can You Teach Robotic Process Automation Bots New Tricks? BPM (Blockchain and RPA Forum) 2022: 246-259 - [c17]Praveen Venkateswaran, Vinod Muthusamy, Yara Rizk, Vatche Isahagian:
Towards Continual Learning in Interactive Digital Assistants for Process Automation. PMAI@IJCAI 2022: 85-88 - [i9]Siyu Huo, Kushal Mukherjee, Jayachandu Bandlamudi, Vatche Isahagian, Vinod Muthusamy, Yara Rizk:
Natural Language Sentence Generation from API Specifications. CoRR abs/2206.06868 (2022) - [i8]Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy:
A Case for Business Process-Specific Foundation Models. CoRR abs/2210.14739 (2022) - 2021
- [j7]Julia El Zini, Yara Rizk, Mariette Awad
An Optimized Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks. J. Artif. Intell. Soft Comput. Res. 11(1): 33-50 (2021) - [c16]Vinod Muthusamy, Vatche Isahagian, Yara Rizk:
Bringing BPM to the Workers: Towards Worker-Centric Management of Business Processes. Problems@BPM 2021: 34-39 - [i7]Sohini Upadhyay, Vatche Isahagian, Vinod Muthusamy, Yara Rizk:
Extending LIME for Business Process Automation. CoRR abs/2108.04371 (2021) - 2020
- [j6]Julia El Zini
A Deep Transfer Learning Framework for Seismic Data Analysis: A Case Study on Bright Spot Detection. IEEE Trans. Geosci. Remote. Sens. 58(5): 3202-3212 (2020) - [c15]Yara Rizk, Vatche Isahagian, Scott Boag, Yasaman Khazaeni, Merve Unuvar, Vinod Muthusamy, Rania Khalaf:
A Conversational Digital Assistant for Intelligent Process Automation. BPM (Blockchain and RPA Forum) 2020: 85-100 - [c14]Tathagata Chakraborti, Shubham Agarwal, Yasaman Khazaeni, Yara Rizk, Vatche Isahagian:
D3BA: A Tool for Optimizing Business Processes Using Non-deterministic Planning. Business Process Management Workshops 2020: 181-193 - [c13]Tathagata Chakraborti, Vatche Isahagian, Rania Khalaf, Yasaman Khazaeni, Vinod Muthusamy, Yara Rizk, Merve Unuvar:
From Robotic Process Automation to Intelligent Process Automation - - Emerging Trends -. BPM (Blockchain and RPA Forum) 2020: 215-228 - [c12]Yara Rizk, Vatche Isahagian, Merve Unuvar, Yasaman Khazaeni:
A Snooze-less User-Aware Notification System for Proactive Conversational Agents. HAI-GEN+user2agent@IUI 2020 - [i6]Yara Rizk, Abhishek Bhandwalder, Scott Boag, Tathagata Chakraborti, Vatche Isahagian, Yasaman Khazaeni, Falk Pollock, Merve Unuvar:
A Unified Conversational Assistant Framework for Business Process Automation. CoRR abs/2001.03543 (2020) - [i5]Yara Rizk, Vatche Isahagian, Merve Unuvar, Yasaman Khazaeni:
A Snooze-less User-Aware Notification System for Proactive Conversational Agents. CoRR abs/2003.02097 (2020) - [i4]Yara Rizk, Vatche Isahagian, Scott Boag, Yasaman Khazaeni, Merve Unuvar, Vinod Muthusamy, Rania Khalaf:
A Conversational Digital Assistant for Intelligent Process Automation. CoRR abs/2007.13256 (2020) - [i3]Tathagata Chakraborti, Vatche Isahagian, Rania Khalaf, Yasaman Khazaeni, Vinod Muthusamy, Yara Rizk, Merve Unuvar:
From Robotic Process Automation to Intelligent Process Automation: Emerging Trends. CoRR abs/2007.13257 (2020) - [i2]Sarath Sreedharan, Tathagata Chakraborti, Yara Rizk, Yasaman Khazaeni:
Explainable Composition of Aggregated Assistants. CoRR abs/2011.10707 (2020)
2010 – 2019
- 2019
- [j5]Yara Rizk, Mariette Awad
Cooperative Heterogeneous Multi-Robot Systems: A Survey. ACM Comput. Surv. 52(2): 29:1-29:31 (2019) - [j4]Yara Rizk, Mariette Awad
On extreme learning machines in sequential and time series prediction: A non-iterative and approximate training algorithm for recurrent neural networks. Neurocomputing 325: 1-19 (2019) - [j3]Nadine Hajj, Yara Rizk, Mariette Awad
A subjectivity classification framework for sports articles using improved cortical algorithms. Neural Comput. Appl. 31(11): 8069-8085 (2019) - [c11]Julia El Zini, Yara Rizk, Mariette Awad
Towards A Deep Learning Question-Answering Specialized Chatbot for Objective Structured Clinical Examinations. IJCNN 2019: 1-9 - [c10]Yara Rizk, Mariette Awad
A quantum genetic algorithm for pickup and delivery problems with coalition formation. KES 2019: 261-270 - [c9]Yara Rizk, Hadi Samer Jomaa, Mariette Awad
A computationally efficient multi-modal classification approach of disaster-related Twitter images. SAC 2019: 2050-2059 - [i1]Julia El Zini, Yara Rizk, Mariette Awad:
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks. CoRR abs/1911.13252 (2019) - 2018
- [j2]Yara Rizk, Hmayag Partamian
Toward Real-Time Seismic Feature Analysis for Bright Spot Detection: A Distributed Approach. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(1): 322-331 (2018) - [j1]Yara Rizk, Mariette Awad
Decision Making in Multiagent Systems: A Survey. IEEE Trans. Cogn. Dev. Syst. 10(3): 514-529 (2018) - [c8]Hmayag Partamian, Yara Rizk, Mariette Awad
Barricaded Boundary Minority Oversampling LS-SVM for a Biased Binary Classification. DS 2018: 18-32 - [c7]Hussein Mouzannar, Yara Rizk, Mariette Awad:
Damage Identification in Social Media Posts using Multimodal Deep Learning. ISCRAM 2018 - [d2]Hussein Mouzannar, Yara Rizk, Mariette Awad:
Multimodal Damage Identification for Humanitarian Computing. UCI Machine Learning Repository, 2018 - [d1]Yara Rizk, Mariette Awad:
Sports articles for objectivity analysis. UCI Machine Learning Repository, 2018 - 2016
- [c6]Hadi S. Jomaa, Mohamad Kamereddine, Ammar Nayal, Yara Rizk, Mariette Awad
Affective Relationship between Color and Text in Arabic Comic Books. SITIS 2016: 215-222 - [c5]Hadi S. Jomaa, Yara Rizk, Mariette Awad
Semantic and Visual Cues for Humanitarian Computing of Natural Disaster Damage Images. SITIS 2016: 404-411 - 2015
- [c4]Yara Rizk, Mariette Awad
On the Distributed Implementation of Unsupervised Extreme Learning Machines for Big Data. INNS Conference on Big Data 2015: 167-174 - [c3]Nadine Hajj, Yara Rizk, Mariette Awad
A MapReduce Cortical Algorithms Implementation for Unsupervised Learning of Big Data. INNS Conference on Big Data 2015: 327-334 - 2014
- [c2]Yara Rizk, Nicholas Mitri, Mariette Awad
An ordinal kernel trick for a computationally efficient support vector machine. IJCNN 2014: 3930-3937 - 2013
- [c1]Yara Rizk, Nicholas Mitri, Mariette Awad
A local mixture based SVM for an efficient supervised binary classification. IJCNN 2013: 1-8
Coauthor Index
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last updated on 2024-10-10 21:13 CEST by the dblp team
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