publications

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

2026

  1. LLM
    Rethinking RL for LLM Reasoning: It’s Sparse Policy Selection, Not Capability Learning
    Ömer Faruk Akgül, Rajgopal Kannan, Willie Neiswanger, and 1 more author
    arXiv preprint arXiv:2605.06241, 2026
  2. T2SQL
    Schema-Free Text-to-SQL: Learning Enterprise Database Structure from Query Logs
    Ömer Faruk Akgül, Nikhil Kapahi, and Prajit Muppidi
    arXiv preprint, 2026
  3. RAG
    SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation
    Yuxin Yang, Gangda Deng, Ömer Faruk Akgül, and 6 more authors
    In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026
  4. LLM
    RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion
    Ömer Faruk Akgül, Feiyu Zhu, Yuxin Yang, and 2 more authors
    In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2026
  5. LLM
    Tina: Tiny Reasoning Models via LoRA
    Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, and 3 more authors
    In The Thirteenth International Conference on Learning Representations (ICLR), 2026

2025

  1. LLM
    LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning
    Ömer Faruk Akgül, Yusuf Hakan Kalaycı, Rajgopal Kannan, and 2 more authors
    arXiv preprint arXiv:2512.05325, 2025
  2. GNN
    Training Diverse Graph Experts for Ensembles: A Systematic Empirical Study
    Gangda Deng, Yuxin Yang, Ömer Faruk Akgül, and 4 more authors
    arXiv preprint arXiv:2510.18370, 2025
  3. LLM
    Resa: Transparent Reasoning Models via SAEs
    Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, and 4 more authors
    In NeurIPS 2025 Workshop on Efficient Reasoning, 2025
  4. GNN
    Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
    Ömer Faruk Akgül, Rajgopal Kannan, and Viktor Prasanna
    In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 2025

2023

  1. GNN
    An Efficient Distributed Graph Engine for Deep Learning on Graphs
    Gangda Deng, Ömer Faruk Akgül, Hongkuan Zhou, and 4 more authors
    In Proceedings of the SC’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 2023