Kian Ahrabian

Orcid: 0000-0002-6606-9735

According to our database1, Kian Ahrabian authored at least 17 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Toward Better Temporal Structures for Geopolitical Events Forecasting.
CoRR, January, 2026

2025
A Practical Analysis of Human Alignment with *PO.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

A Systematic Analysis of Base Model Choice for Reward Modeling.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
Surprising Resilience of Science During a Global Pandemic: A Large-Scale Descriptive Analysis.
CoRR, 2024

The Hitchhiker's Guide to Human Alignment with *PO.
CoRR, 2024

The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models.
CoRR, 2024

MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

On the Adaptation of Unlimiformer for Decoder-Only Transformers.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
PubGraph: A Large Scale Scientific Temporal Knowledge Graph.
CoRR, 2023

Comparison of Knowledge Graph Representations for Consumer Scenarios.
Proceedings of the Semantic Web - ISWC 2023, 2023

Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Is Dynamicity All You Need?
Proceedings of the Workshop on Scientific Document Understanding co-located with 37th AAAI Conference on Artificial Inteligence (AAAI 2023), 2023

Citation Intent Classification Through Weakly Supervised Knowledge Graphs.
Proceedings of the Workshop on Scientific Document Understanding co-located with 37th AAAI Conference on Artificial Inteligence (AAAI 2023), 2023

2021
Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs.
CoRR, 2020

Structure Aware Negative Sampling in Knowledge Graphs.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Usage of autoencoders and Siamese networks for online handwritten signature verification.
Neural Comput. Appl., 2019


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