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ORCIDKian Ahrabian
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2020 – today
- 2024
[c8]Kian Ahrabian, Alon Benhaim, Barun Patra, Jay Pujara, Saksham Singhal, Xia Song:
On the Adaptation of Unlimiformer for Decoder-Only Transformers. LREC/COLING 2024: 12395-12402- [c7]Yifan Jiang, Jiarui Zhang, Kexuan Sun, Zhivar Sourati, Kian Ahrabian, Kaixin Ma, Filip Ilievski, Jay Pujara:
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning. NeurIPS 2024 - [i10]Kian Ahrabian, Zhivar Sourati
, Kexuan Sun, Jiarui Zhang, Yifan Jiang, Fred Morstatter, Jay Pujara:
The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models. CoRR abs/2401.12117 (2024) - [i9]Yifan Jiang, Jiarui Zhang, Kexuan Sun, Zhivar Sourati, Kian Ahrabian, Kaixin Ma, Filip Ilievski, Jay Pujara:
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning. CoRR abs/2404.13591 (2024) - [i8]Kian Ahrabian, Xihui Lin, Barun Patra, Vishrav Chaudhary, Alon Benhaim, Jay Pujara, Xia Song:
The Hitchhiker's Guide to Human Alignment with *PO. CoRR abs/2407.15229 (2024) - [i7]Kian Ahrabian, Casandra Rusti, Ziao Wang, Jay Pujara, Kristina Lerman:
Surprising Resilience of Science During a Global Pandemic: A Large-Scale Descriptive Analysis. CoRR abs/2409.07710 (2024) - [i6]Kian Ahrabian, Alon Benhaim, Barun Patra, Jay Pujara, Saksham Singhal, Xia Song:
On The Adaptation of Unlimiformer for Decoder-Only Transformers. CoRR abs/2410.01637 (2024) - 2023
- [c6]Xinwei Du, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Richard Delwin Myloth, Jay Pujara:
Citation Intent Classification Through Weakly Supervised Knowledge Graphs. SDU@AAAI 2023 - [c5]Richard Delwin Myloth, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Xinwei Du, Jay Pujara:
Is Dynamicity All You Need? SDU@AAAI 2023 - [c4]Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara:
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. EMNLP 2023: 544-557 - [c3]Ana Iglesias-Molina, Kian Ahrabian, Filip Ilievski, Jay Pujara, Óscar Corcho:
Comparison of Knowledge Graph Representations for Consumer Scenarios. ISWC 2023: 271-289 - [i5]Kian Ahrabian, Xinwei Du, Richard Delwin Myloth, Arun Baalaaji Sankar Ananthan, Jay Pujara:
PubGraph: A Large Scale Scientific Temporal Knowledge Graph. CoRR abs/2302.02231 (2023) - [i4]Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara:
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. CoRR abs/2305.10613 (2023) - 2021
- [c2]Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates:
Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems. CIKM 2021: 2832-2836 - 2020
- [c1]Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose:
Structure Aware Negative Sampling in Knowledge Graphs. EMNLP (1) 2020: 6093-6101 - [i3]Kian Ahrabian, Daniel Tarlow, Hehuimin Cheng, Jin L. C. Guo:
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs. CoRR abs/2007.01231 (2020) - [i2]Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose:
Structure Aware Negative Sampling in Knowledge Graphs. CoRR abs/2009.11355 (2020)
2010 – 2019
- 2019
- [j1]Kian Ahrabian, Bagher BabaAli:
Usage of autoencoders and Siamese networks for online handwritten signature verification. Neural Comput. Appl. 31(12): 9321-9334 (2019) - 2017
- [i1]Kian Ahrabian, Bagher BabaAli:
On Usage of Autoencoders and Siamese Networks for Online Handwritten Signature Verification. CoRR abs/1712.02781 (2017)
Coauthor Index
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