Ibrahim Abdelaziz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
13
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs. | Hussein Abdallah, Ibrahim Abdelaziz, Panos Kalnis, Essam Mansour |
| 2025 | ACL | R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory. | Tenghao Huang, Kinjal Basu, Ibrahim Abdelaziz, Pavan Kapanipathi, Jonathan May, Muhao Chen |
| 2025 | EMNLP | NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. | Kinjal Basu, Ibrahim Abdelaziz, Kiran Kate, Mayank Agarwal, Maxwell Crouse, Yara Rizk, Kelsey Bradford, Asim Munawar, Sadhana Kumaravel, Saurabh Goyal, Xin Wang, Luis A. Lastras, Pavan Kapanipathi |
| 2025 | ICDE | TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery Over Data Lakes. | Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas |
| 2024 | ACL | API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. | Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras |
| 2024 | EMNLP | Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. | Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachindra 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 |
| 2023 | ACL | MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. | Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray |
| 2023 | EMNLP | Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge. | Shajith Ikbal, Udit Sharma, Hima Karanam, Sumit Neelam, Ronny Luss, Dheeraj Sreedhar, Pavan Kapanipathi, Naweed Khan, Kyle Erwin, Ndivhuwo Makondo, Ibrahim Abdelaziz, Achille Fokoue, Alexander Gray, Maxwell Crouse, Subhajit Chaudhury, Chitra Subramanian |
| 2023 | IJCAI | SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. | Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas |
| 2023 | IJCAI | An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations. | Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu |
| 2022 | AAAI | Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. | Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas |
| 2022 | EMNLP | SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases. | Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam |
| 2022 | EMNLP | A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. | Srinivas Ravishankar, Dung Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue |
| 2022 | EMNLP | Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. | Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray |
| 2021 | AAAI | A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. | Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray |
| 2021 | AAAI | A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. | Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue |
| 2021 | AAAI | Neural Analogical Matching. | Maxwell Crouse, Constantine Nakos, Ibrahim Abdelaziz, Kenneth D. Forbus |
| 2021 | ACL | Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. | Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramn Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu |
| 2021 | ACL | A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering. | Tahira Naseem, Srinivas Ravishankar, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Young-Suk Lee, Pavan Kapanipathi, Salim Roukos, Alfio Gliozzo, Alexander G. Gray |
| 2020 | AAAI | Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. | Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue |
| 2020 | CVPR | HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map. | Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, Didier Stricker |
| 2019 | AAAI | Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. | Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock |
| 2019 | EDBT | Pivoted Subgraph Isomorphism: The Optimist, the Pessimist and the Realist. | Ehab Abdelhamid, Ibrahim Abdelaziz, Zuhair Khayyat, Panos Kalnis |
| 2019 | EuroSys | Matrix Algebra Framework for Portable, Scalable and Efficient Query Engines for RDF Graphs. | Fuad T. Jamour, Ibrahim Abdelaziz, Yuanzhao Chen, Panos Kalnis |
| 2017 | CLOUD | DAIET: a system for data aggregation inside the network. | Amedeo Sapio, Ibrahim Abdelaziz, Marco Canini, Panos Kalnis |
| 2017 | HOTNETS | In-Network Computation is a Dumb Idea Whose Time Has Come. | Amedeo Sapio, Ibrahim Abdelaziz, Abdulla Aldilaijan, Marco Canini, Panos Kalnis |
| 2017 | ICDE | Query Optimizations over Decentralized RDF Graphs. | Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis |
| 2017 | SIGMOD | A Demonstration of Lusail: Querying Linked Data at Scale. | Essam Mansour, Ibrahim Abdelaziz, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis |
| 2016 | SC | Scalemine: scalable parallel frequent subgraph mining in a single large graph. | Ehab Abdelhamid, Ibrahim Abdelaziz, Panos Kalnis, Zuhair Khayyat, Fuad T. Jamour |