Naoto Yokoya
Naoto Yokoya has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Heli Qi, Qingcheng Zeng, Weihao Xuan.
OpenAlex · ORCID · h-index 64 · 283 works · 17,815 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 10 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #9514
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 1 workArts and Humanities · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work
🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 workVision & language · 1 workEvaluation & benchmarks · 1 workMultilingual & cross-lingual NLP · 1 work
Works by year
2020s
Papers
- Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models (2025 · 11 citations)
Vision-language models (VLMs) can state in plain language how sure they are of an answer. This study asks whether that stated confidence actually tracks how often they are correct. The authors evaluate verbalized calibration across three model families: instruction-tuned, text-reasoning, and visual-reasoning… - The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents (2026 · 2 citations)
The paper asks whether tool use always worsens how well LLM agents' stated confidence matches their real accuracy, or whether the effect depends on the tool. - Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers (2026 · 1 citation)
Search engines and RAG pipelines are mostly built and tested on single-language queries, yet many bilingual users mix languages when they search.
All works
- Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetWei Ping He et al.2019 · 192 citations
- Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Xuan, Qingcheng Zeng, Heli Qi, et al.2025 · 11 citations
- Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards ↗arXiv (Cornell University) · no summary yetFang Wu et al.2025 · 3 citations
- The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Weihao Xuan, Qingcheng Zeng, Heli Qi, et al.2026 · 2 citations
- Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current RetrieversFindings of the Association for Computational LinguisticsQingcheng Zeng, Yuheng Lu, Zeqi Zhou, et al.2026 · 1 citation
- Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations ↗arXiv (Cornell University) · no summary yetJunjue Wang et al.2026
- Proteo-R1: Reasoning Foundation Models for De Novo Protein Design ↗arXiv (Cornell University) · no summary yetFang Wu et al.2026
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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