Seiji Maekawa

26 papers A* 3B 1Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive-
J. Nat. Lang. Process.
Chihiro Taguchi, Seiji Maekawa, Nikita Bhutani
2025 J jnl
Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive-
CoRR
Chihiro Taguchi, Seiji Maekawa, Nikita Bhutani
2025 A* conf
Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive-k.
EMNLP
Chihiro Taguchi, Seiji Maekawa, Nikita Bhutani
2025 — conf
From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization.
NAACL (Findings)
Catarina G. Belém, Pouya Pezeshkpour, Hayate Iso, Seiji Maekawa, Nikita Bhutani, Estevam Hruschka
2025 A* conf
Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data.
ICLR
Seiji Maekawa, Hayate Iso, Nikita Bhutani
2025 J jnl
Same Content, Different Representations: A Controlled Study for Table QA.
CoRR
Yue Zhang, Seiji Maekawa, Nikita Bhutani
2025 J jnl
The Rarity Blind Spot: A Framework for Evaluating Statistical Reasoning in LLMs.
CoRR
Seiji Maekawa, Hayate Iso, Nikita Bhutani
2025 J jnl
Towards Reliable Benchmarking: A Contamination Free, Controllable Evaluation Framework for Multi-step LLM Function Calling.
CoRR
Seiji Maekawa, Jackson Hassell, Pouya Pezeshkpour, Tom M. Mitchell, Estevam Hruschka
2024 J jnl
From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization.
CoRR
Catarina G. Belém, Pouya Pezeskhpour, Hayate Iso, Seiji Maekawa, Nikita Bhutani, Estevam Hruschka
2024 J jnl
Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data.
CoRR
Seiji Maekawa, Hayate Iso, Nikita Bhutani
2024 — conf
Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models.
NAACL-HLT
Seiji Maekawa, Hayate Iso, Sairam Gurajada, Nikita Bhutani
2024 J jnl
Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models.
CoRR
Seiji Maekawa, Hayate Iso, Sairam Gurajada, Nikita Bhutani
2023 J jnl
GenCAT: Generating attributed graphs with controlled relationships between classes, attributes, and topology.
Inf. Syst.
Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
2023 J jnl
Why Using Either Aggregated Features or Adjacency Lists in Directed or Undirected Graph? Empirical Study and Simple Classification Method.
CoRR
Seiji Maekawa, Yuya Sasaki, Makoto Onizuka
2022 — conf
Benchmarking GNNs with GenCAT Workbench.
ECML/PKDD (6)
Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
2022 A* conf
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs.
NeurIPS
Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka
2022 J jnl
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs.
CoRR
Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka
2022 — conf
GNN Transformation Framework for Improving Efficiency and Scalability.
ECML/PKDD (2)
Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
2022 J jnl
GNN Transformation Framework for Improving Efficiency and Scalability.
CoRR
Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
2022 — conf
Low-resource Interactive Active Labeling for Fine-tuning Language Models.
EMNLP (Findings)
Seiji Maekawa, Dan Zhang, Hannah Kim, Sajjadur Rahman, Estevam Hruschka
2021 — conf
Adaptive Node Embedding Propagation for Semi-supervised Classification.
ECML/PKDD (2)
Yuya Ogawa, Seiji Maekawa, Yuya Sasaki, Yasuhiro Fujiwara, Makoto Onizuka
2021 — conf
Effective Candidate Selection and Interpretable Interest Extraction for Follower Prediction on Social Media.
WI/IAT
Seiji Maekawa, Santi Saeyor, Takeshi Sakaki, Makoto Onizuka
2021 J jnl
GenCAT: Generating Attributed Graphs with Controlled Relationships between Classes, Attributes, and Topology.
CoRR
Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
2020 B conf
Controlling Internal Structure of Communities on Graph Generator.
ASONAM
Hiroto Yamaguchi, Yuya Ogawa, Seiji Maekawa, Yuya Sasaki, Makoto Onizuka
2020 J jnl
New Attributed Graph Clustering by Bridging Attribute and Topology Spaces.
J. Inf. Process.
Seiji Maekawa, Koh Takeuchi, Makoto Onizuka
2018 J jnl
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning.
CoRR
Seiji Maekawa, Koh Takeuchi, Makoto Onizuka