---
title: "Taro Watanabe — papers of 2026 — Elamur Research"
description: "Taro Watanabe — papers of 2026: 9 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/taro-watanabe/year/2026/"
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# Taro Watanabe — papers of 2026 — Elamur Research

9 papers · [all years of Taro Watanabe](https://md.research.elamur.ai/free/en/authors/taro-watanabe/#years)

**[Measuring Linguistic Competence of LLMs on Indigenous Languages of the Americas](https://md.research.elamur.ai/free/en/papers/vasselli-2026-measuring-linguistic-competence-llms-indigenous/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Justin Vasselli, Arturo Martínez Peguero, Frederikus Hudi, et al.*2026 · 1 citation*

**[Nearest-Neighbor Retrieval for Indigenous Image Captioning](https://md.research.elamur.ai/free/en/papers/vasselli-2026-nearest-neighbor-retrieval-indigenous-image/) [Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)](https://md.research.elamur.ai/free/en/venues/americasnlp/)**Justin Vasselli, Arturo Martínez Peguero, Shintaro Ozaki, et al.*2026 · 1 citation*

**[XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics](https://md.research.elamur.ai/free/en/papers/liu-2026-xq-meval-dataset-cross-lingual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingxuan Liu, Zhi Qu, Jin Tei, et al.*2026 · 1 citation*

**[A Benchmark Corpus for the Diagnostic Assessment of Content in L2 English Speech](https://md.research.elamur.ai/free/en/papers/doi-2026-benchmark-corpus-diagnostic-assessment-content/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kosuke Doi, Justin Vasselli, Taro Watanabe*2026*

**[A Large-Scale Dataset for Linking-Based Geocoding](https://md.research.elamur.ai/free/en/papers/nakatani-2026-large-scale-dataset-linking-based/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hibiki Nakatani, Yuichiro Yasui, Ryosuke Wakamoto, et al.*2026*

**[Enhancing Factuality through Consensus and Consistency in Summarization Using Minimum Bayes Risk Decoding](https://md.research.elamur.ai/free/en/papers/soetedjo-2026-enhancing-factuality-through-consensus-consistency/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Riza Setiawan Soetedjo, Yusuke Sakai, Hidetaka Kamigaito, et al.*2026*

**[entity-linkings: A Unified Library for Entity Linking](https://md.research.elamur.ai/free/en/papers/sawada-2026-entity-linkings-unified-library-entity/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yuya Sawada, Tsuyoshi Fujita, Yusuke Sakai, et al.*2026*

**[Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface Forms](https://md.research.elamur.ai/free/en/papers/nishida-2026-revisiting-non-verbatim-memorization-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuto Nishida, Naoki Shikoda, Yosuke Kishinami, et al.*2026*

**[“Yuki Gets Sushi, David Gets Steak?”: Uncovering Gender and Racial Biases in LLM-Based Meal Recommendations](https://md.research.elamur.ai/free/en/papers/wei-2026-yuki-gets-sushi-david-gets/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xuefeng Wei, Xuan Zhou, Yusuke Sakai, et al.*2026*