--- title: "Itsumi Saito · Tohoku University — author profile and papers" description: "Itsumi Saito, Tohoku University: 2 papers on Elamur Research (2023–2026), h-index 12 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/itsumi-saito/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/itsumi-saito/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Itsumi Saito # Itsumi Saito Itsumi Saito has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/); often with [Kosuke Nishida](https://md.research.elamur.ai/free/en/authors/kosuke-nishida/), [Kyosuke Nishida](https://md.research.elamur.ai/free/en/authors/kyosuke-nishida/), [Kuniko Saito](https://md.research.elamur.ai/free/en/authors/kuniko-saito/). 2 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5008842415) · [**h-index 12**](https://openalex.org/authors/A5008842415) · [32 works](https://openalex.org/works?filter=author.id:A5008842415) · [527 citations](https://openalex.org/works?filter=author.id:A5008842415&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/itsumi-saito/#papers) · [🔗 Cited 117 times in our library](https://md.research.elamur.ai/free/en/authors/itsumi-saito/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7637](https://md.research.elamur.ai/free/en/paper-stars/page/77/#star-7637) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Itsumi+Saito) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Itsumi+Saito) · [dblp](https://dblp.org/search?q=Itsumi+Saito) · [ACL Anthology](https://aclanthology.org/search/?q=Itsumi+Saito) ## Affiliations [🎓**Tohoku University** Sendai · Japan 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/tohoku-university/) · [🏢**NTT** Tokyo · Japan 2002–2023 · 20 papers](https://md.research.elamur.ai/free/en/companies/ntt/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 5 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/itsumi-saito/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/itsumi-saito/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images](https://md.research.elamur.ai/free/en/papers/tanaka-2023-slidevqa-dataset-document-visual-question/)** *(2023 · 116 citations)* Most document VQA benchmarks assume that one page holds everything needed to answer a question. Real documents rarely work that way, so SlideVQA tests whether systems can combine information spread across several pages. Each item pairs a question with a 20-slide deck taken from SlideShare. A system must find the… 2. **[InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in Summarization](https://md.research.elamur.ai/free/en/papers/nishida-2026-instructsum-benchmark-evaluate-instruction-following/)** *(2026)* LLMs tuned to satisfy users often pad their answers with unrequested material. This is a serious flaw in summarization, where brevity is the point, and existing instruction-following benchmarks rarely address it. The authors present InstructSum, an English benchmark built from Wikipedia. Article abstracts serve as… ## All works 4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction ↗](https://aclanthology.org/P19-1225/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Kosuke Nishida et al.*2019 · 127 citations* 2. **[SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images](https://md.research.elamur.ai/free/en/papers/tanaka-2023-slidevqa-dataset-document-visual-question/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida, et al.*2023 · 116 citations* 3. **[Multi-style Generative Reading Comprehension ↗](https://aclanthology.org/P19-1220/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Kyosuke Nishida et al.*2019 · 98 citations* 4. **[InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in Summarization](https://md.research.elamur.ai/free/en/papers/nishida-2026-instructsum-benchmark-evaluate-instruction-following/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kosuke Nishida, Kyosuke Nishida, Itsumi Saito*2026* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Kosuke Nishida](https://md.research.elamur.ai/free/en/authors/kosuke-nishida/) ×2 - [Kyosuke Nishida](https://md.research.elamur.ai/free/en/authors/kyosuke-nishida/) ×2 - [Kuniko Saito](https://md.research.elamur.ai/free/en/authors/kuniko-saito/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics ×2 - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/) - [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/): [Proceedings of the AAAI Conference on Artificial Intelligence 2023](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2023/) ## Cited by Papers of our library cite their works 117 times (of the 149,439 papers whose bibliographies we read); [30 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/itsumi-saito/cited-by/). Updated 2 November 2026