publications

publications in reversed chronological order. generated by jekyll-scholar.

2025

  1. A Practical Analysis of Human Alignment with *PO
    In Findings of the Association for Computational Linguistics: NAACL 2025, Apr 2025
  2. A Systematic Analysis of Base Model Choice for Reward Modeling
    In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, Nov 2025

2024

  1. The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models
    In First Conference on Language Modeling, Nov 2024
  2. MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning
    In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track, Nov 2024
  3. On the Adaptation of Unlimiformer for Decoder-Only Transformers
    In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), May 2024
  4. Surprising Resilience of Science During a Global Pandemic: A Large-Scale Descriptive Analysis
    May 2024

2023

  1. Changes in Research Collaborations During the Pandemic
    In International Society of Scientometrics and Informetrics Conference, May 2023
  2. Comparison of Knowledge Graph Representations for Consumer Scenarios
    In The Semantic Web – ISWC 2023, May 2023
  3. PubGraph: A Large-Scale Scientific Knowledge Graph
    Kian Ahrabian, Xinwei Du, Richard Delwin Myloth, Arun Baalaaji Sankar Ananthan, and Jay Pujara
    May 2023
  4. Citation Intent Classification Through Weakly Supervised Knowledge Graphs
    Xinwei Du, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Richard Delwin Myloth, and Jay Pujara
    In SDU@AAAI, May 2023
  5. Is Dynamicity All You Need?
    Richard Delwin Myloth, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Xinwei Du, and Jay Pujara
    In SDU@AAAI, May 2023
  6. Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
    In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023

2021

  1. Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems
    In Proceedings of the 30th ACM International Conference on Information & Knowledge Management, Virtual Event, Queensland, Australia, Dec 2021

2020

  1. Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs
    Kian Ahrabian, Daniel Tarlow, Hehuimin Cheng, and Jin LC Guo
    Graph Representation Learning and Beyond (GRL+) Workshop at the 37th International Conference on Machine Learning, Jul 2020
  2. Structure Aware Negative Sampling in Knowledge Graphs
    In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020
  3. GitHub Events Through the Lens of Knowledge Graphs
    Kian Ahrabian
    McGill University, Dec 2020

2019

  1. Usage of autoencoders and Siamese networks for online handwritten signature verification
    Kian Ahrabian and Bagher BabaAli
    Neural Computing and Applications, Dec 2019