Full Publication List

Preprint

Towards Reliable Benchmarking: A Contamination Free, Controllable Evaluation Framework for Multi-step LLM Function Calling
Seiji Maekawa, Jackson Hassell, Pouya Pezeshkpour, Tom Mitchell, Estevam Hruschka
arXiv preprint, Sep. 2025
Same Content, Different Representations: A Controlled Study for Table QA
Yue Zhang, Seiji Maekawa, Nikita Bhutani
arXiv preprint, Sep. 2025
The Rarity Blind Spot: A Framework for Evaluating Statistical Reasoning in LLMs
Seiji Maekawa, Hayate Iso, Nikita Bhutani
arXiv preprint, Aug. 2025
A Simple and Scalable Graph Neural Network for Large Directed Graphs
Seiji Maekawa, Yuya Sasaki, Makoto Onizuka
arXiv preprint, June 2023

International Conferences & Workshops

Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive-k
Chihiro Taguchi, Seiji Maekawa, Nikita Bhutani
EMNLP 2025 (Oral)
Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data
Seiji Maekawa*, Hayate Iso*, Nikita Bhutani
ICLR 2025
From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization
Catarina G. Belem, Pouya Pezeskhpour, Hayate Iso, Seiji Maekawa, Nikita Bhutani, Estevam Hruschka
Findings of NAACL 2025
Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models
Seiji Maekawa, Hayate Iso, Sairam Gurajada, Nikita Bhutani
NAACL 2024 (Oral), acceptance rate: 23.2%
Low-resource Interactive Active Labeling for Fine-tuning Language Models
Seiji Maekawa, Dan Zhang, Hannah Kim, Sajjadur Rahman, Estevam Hruschka
Findings of EMNLP 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka
NeurIPS 2022 (Datasets & Benchmarks)
GNN Transformation Framework for Improving Efficiency and Scalability
Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
ECML/PKDD 2022
Benchmarking GNNs with GenCAT Workbench
Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
Demo track of ECML/PKDD 2022
Effective Candidate Selection and Interpretable Interest Extraction for Follower Prediction on Social Media
Seiji Maekawa, Santi Saeyor, Takeshi Sakaki, Makoto Onizuka
WI-IAT 2021
Adaptive Node Embedding Propagation for Semi-Supervised Classification
Yuya Ogawa, Seiji Maekawa, Yuya Sasaki, Yasuhiro Fujiwara, Makoto Onizuka
ECML/PKDD 2021
Controlling Internal Structure of Communities on Graph Generator
Hiroto Yamaguchi, Yuya Ogawa, Seiji Maekawa, Yuya Sasaki, Makoto Onizuka
IEEE/ACM ASONAM 2020 (Demos)
General Generator for Attributed Graphs with Community Structure
Seiji Maekawa, Jianpeng Zhang, George Fletcher, Makoto Onizuka
ECML/PKDD GEM Workshop 2019

Journal Papers

GenCAT: Generating Attributed Graphs with Controlled Relationships between Classes, Attributes, and Topology
Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
Information Systems, Feb. 2023
New Attributed Graph Clustering by Bridging Attribute and Topology Spaces
Seiji Maekawa, Koh Takeuchi, Makoto Onizuka
Information Processing Society of Japan, Aug. 2020

Domestic Conferences/Others

多様な人工グラフを用いた GNN によるノード分類の実証研究
前川 政司, 野田 昂希, 佐々木 勇和, 鬼塚 真
DEIM Forum 2023, Mar. 2023
コミュニティ構造を制御可能な属性付きグラフ生成
前川 政司, 佐々木 勇和, George Fletcher, 鬼塚 真
IPSJ 2021, Mar. 2021
適応的なノード埋め込みの伝搬による半教師ありノード分類モデル
小川 裕也, 前川 政司, 佐々木 勇和, 藤原 靖宏, 鬼塚 真
IPSJ 2021, Mar. 2021
時系列グラフにおける着目ノードに特化したリンク予測
山口 寛人, 前川 政司, 佐々木 勇和, 鬼塚 真
IPSJ 2021, Mar. 2021
コミュニティ構造を制御する属性付きグラフ生成
前川 政司, 佐々木 勇和, George Fletcher, 鬼塚 真
DEIM Forum 2021, Mar. 2021
半教師ありノード分類のための適応的ノード埋め込み伝搬ニューラルネットワーク
小川 裕也, 前川 政司, 佐々木 勇和, 藤原 靖宏, 鬼塚 真
DEIM Forum 2021, March 2021
時系列グラフを活用する着目ノードに特化したリンク予測
山口 寛人, 前川 政司, 佐々木 勇和, 鬼塚 真
DEIM Forum 2021, Mar. 2021
コミュニティ構造を考慮した属性付きグラフ汎用生成機構
前川 政司, George Fletcher, 鬼塚 真
DEIM Forum 2019, Mar. 2019
隣接性と構造類似性を考慮したグラフクラスタリング
小川 裕也, 前川 政司, 竹内 孝, 佐々木 勇和, 鬼塚 真
DEIM Forum 2019, Mar. 2019
属性付きグラフのための非線形関数を用いた接合加重非負値行列分解
前川 政司, 竹内 孝, 佐々木 勇和, 鬼塚 真
DEIM Forum 2018, Mar. 2018