---
title: "Keihanshin — works of 2026: 39 papers, the most cited first"
description: "39 works of Keihanshin from 2026 in our library, the most cited first. Among them: FinReporting: An Agentic Workflow for Localized Reporting…"
canonical: "https://research.elamur.ai/free/en/agglomerations/keihanshin/year/2026/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/keihanshin/year/2026/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / [Keihanshin](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/) / 2026

# Works of Keihanshin from 2026

39 works · the most cited first · [← Keihanshin](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/)

1. **[FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosure](https://md.research.elamur.ai/free/en/papers/zhang-2026-finreporting-agentic-workflow-localized-reporting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fan Zhang, Mingzi Song, Rania Elbadry, et al.*2026 · 3 citations*
2. **[MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis](https://md.research.elamur.ai/free/en/papers/yu-2026-mathagent-adversarial-evolution-constraint-graphs/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zixiong Yu, Jun Rao, Guhan Chen, et al.*2026 · 3 citations*
3. **[Persona Jailbreaking in Large Language Models](https://md.research.elamur.ai/free/en/papers/sandhan-2026-persona-jailbreaking-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jivnesh Sandhan, Fei Cheng, Tushar Sandhan, et al.*2026 · 2 citations*
4. **[Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference](https://md.research.elamur.ai/free/en/papers/taniguchi-2026-adaptive-layer-selection-layer-wise/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rei Taniguchi, Yuyang Dong, Makoto Onizuka, et al.*2026 · 1 citation*
5. **[Automatic Generation of a Compositional QA Benchmark for Geospatial Reasoning under Spatial and Entity Constraints](https://md.research.elamur.ai/free/en/papers/suizu-2026-automatic-generation-compositional-qa-benchmark/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tetsuhisa Suizu, Shohei Higashiyama, Hiroyuki Shindo, et al.*2026 · 1 citation*
6. **[CiNet-Handai-Kyodai at SemEval-2026 Task 5: Combining LLM Prompting, Semantic Similarity, and Synthetic Gaze for Graded Sense Plausibility](https://md.research.elamur.ai/free/en/papers/pereira-2026-cinet-handai-kyodai-semeval-2026/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Lis Kanashiro Pereira, Fei Cheng*2026 · 1 citation*
7. **[ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making](https://md.research.elamur.ai/free/en/papers/watanabe-2026-clindet-bench-beyond-abstention-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yusuke Watanabe, Yohei Kobashi, Takeshi Kojima, et al.*2026 · 1 citation*
8. **[Disentangling Meaning and Language Components in Diverse Multilingual Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/nonomura-2026-disentangling-meaning-language-components-diverse/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kanade Nonomura, Keita Fukushima, Risa Kondo, et al.*2026 · 1 citation*
9. **[Efficient Provably Secure Linguistic Steganography via Range Coding](https://md.research.elamur.ai/free/en/papers/yan-2026-efficient-provably-secure-linguistic-steganography/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruiyi Yan, Yugo Murawaki*2026 · 1 citation*
10. **[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*
11. **[Mitigating Language Bias in Multilingual Sentence Embeddings for Cross-Lingual Similarity Estimation](https://md.research.elamur.ai/free/en/papers/nonomura-2026-mitigating-language-bias-multilingual-sentence/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Kanade Nonomura, Keita Fukushima, Risa Kondo, et al.*2026 · 1 citation*
12. **[Sakura at BEA 2026 Shared Task 1: What Makes Vocabulary Difficult?](https://md.research.elamur.ai/free/en/papers/nohejl-2026-sakura-bea-2026-shared-task/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Adam Nohejl, Xuanxin Wu, Yusuke Ide, et al.*2026 · 1 citation*
13. **[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*
14. **[A Dialogue System for Second Language Learning with Dynamic Adaptation to In-Dialogue Difficulty Changes](https://md.research.elamur.ai/free/en/papers/morioka-2026-dialogue-system-second-language-learning/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Taku Morioka, Junya Takayama, Tomoyuki Kajiwara*2026*
15. **[A Herd of Language Models Makes a Better Zero-shot Annotator for Clinical Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/shimizu-2026-herd-language-models-makes-better/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Seiji Shimizu, Shoko Wakamiya, Eiji Aramaki*2026*
16. **[Anchored Sliding Window: Toward Robust and Imperceptible Linguistic Steganography](https://md.research.elamur.ai/free/en/papers/yan-2026-anchored-sliding-window-robust-imperceptible/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruiyi Yan, Shiao Meng, Yugo Murawaki*2026*
17. **[Applicability Condition Extraction for Therapeutic Drug-Disease Relations](https://md.research.elamur.ai/free/en/papers/luo-2026-applicability-condition-extraction-therapeutic-drug/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guanting Luo, Noriki Nishida, Yuji Matsumoto, et al.*2026*
18. **[CxMP: A Linguistic Minimal-Pair Benchmark for Evaluating Constructional Understanding in Language Models](https://md.research.elamur.ai/free/en/papers/oba-2026-cxmp-linguistic-minimal-pair-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Miyu Oba, Saku Sugawara*2026*
19. **[Dissecting GraphRAG: A Modular Analysis of Knowledge Structuring for Factoid Question Answering](https://md.research.elamur.ai/free/en/papers/nishida-2026-dissecting-graphrag-modular-analysis-knowledge/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Noriki Nishida, Rumana Ferdous Munne, Shanshan Liu, et al.*2026*
20. **[Domain Adaptation of Image Encoder for Multimodal Manga Translation](https://md.research.elamur.ai/free/en/papers/manabe-2026-domain-adaptation-image-encoder-multimodal/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kota Manabe, Tomoyuki Kajiwara, Takashi Ninomiya, et al.*2026*
21. **[Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation](https://md.research.elamur.ai/free/en/papers/zhang-2026-dynamic-meta-metrics-source-sentence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luke Zhang, Justin Vasselli, Aditya Khan, et al.*2026*
22. **[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*
23. **[GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-grasprune-global-gating-budgeted-structured/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, et al.*2026*
24. **[I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System](https://md.research.elamur.ai/free/en/papers/pang-2026-i-understand-how-you-feel/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Zi Haur Pang, Yahui Fu, Koji Inoue, et al.*2026*
25. **[Interpretable ICD Code Classification with Faithful Sentence Extraction](https://md.research.elamur.ai/free/en/papers/wang-2026-interpretable-icd-code-classification-faithful/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Yichen Wang, Lian Hong, Masato Mizogaki, et al.*2026*
26. **[LLM-Assisted Spanish Dialect Corpus Construction](https://md.research.elamur.ai/free/en/papers/vidal-2026-llm-assisted-spanish-dialect-corpus/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Jessica Claribel RAMIREZ VIDAL, Hiroki Ouchi, Sakriani Sakti*2026*
27. **[MedNormJ: A Benchmark Dataset for Medical Concept Normalization in Japanese Clinical Documents](https://md.research.elamur.ai/free/en/papers/tashiro-2026-mednormj-benchmark-dataset-medical-concept/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Yuki Tashiro, Seiji Shimizu, Tomohiro Nishiyama, et al.*2026*
28. **[On the Structure of Address in Multi-Party Dialogue: From Discrete Labels to Continuous Levels](https://md.research.elamur.ai/free/en/papers/mori-2026-structure-address-multi-party-dialogue/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Taiga Mori, Koji Inoue, Divesh Lala, et al.*2026*
29. **[Progressive Visual Refinement for Multi-modal Summarization](https://md.research.elamur.ai/free/en/papers/xiong-2026-progressive-visual-refinement-multi-modal/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ye Xiong, Hidetaka Kamigaito, Soichiro Murakami, et al.*2026*
30. **[Quantifying Text Reuse Across Three Kṛṣṇa Yajurveda Recensions: Using Multi-Algorithm Computational Collation](https://md.research.elamur.ai/free/en/papers/miyagawa-2026-quantifying-text-reuse-across-three/) [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/)**So Miyagawa, Kyoko Amano, Yuzuki Tsukagoshi, et al.*2026*
31. **[Quantifying and Mitigating Socially Desirable Responding in LLMs: A Desirability-Matched Graded Forced-Choice Psychometric Study](https://md.research.elamur.ai/free/en/papers/okada-2026-quantifying-mitigating-socially-desirable-responding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kensuke Okada, Yui Furukawa, Kyosuke Bunji*2026*
32. **[Redefining Machine Simultaneous Interpretation: From Incremental Translation to Human-Like Strategies](https://md.research.elamur.ai/free/en/papers/zhang-2026-redefining-machine-simultaneous-interpretation-incremental/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qianen Zhang, Zeyu Yang, Satoshi Nakamura*2026*
33. **[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*
34. **[Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception](https://md.research.elamur.ai/free/en/papers/wan-2026-speech-hands-self-reflection-voice/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Wan, Chao-Han Huck Yang, Jinchuan Tian, et al.*2026*
35. **[TableMBR: Minimum Bayes Risk Table Generation Based on Structural Consistency](https://md.research.elamur.ai/free/en/papers/yoshida-2026-tablembr-minimum-bayes-risk-table/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Daiki Yoshida, Hiroyuki Deguchi, Yusuke Sakai, et al.*2026*
36. **[Timesteps of Mamba Align with Human Reading Times](https://md.research.elamur.ai/free/en/papers/yamamoto-2026-timesteps-mamba-align-human-reading/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuji Yamamoto, Shinnosuke Isono, Yoshinobu Kawahara, et al.*2026*
37. **[Understanding the Prompt Sensitivity](https://md.research.elamur.ai/free/en/papers/liu-2026-understanding-prompt-sensitivity/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Liu, Chenhui Chu*2026*
38. **[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*
39. **[“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*
- [← back to](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/) — Keihanshin