---
title: "Who cites Kishore Papineni — page 14 — 11,112 citing papers"
description: "11,112 papers of the Elamur Research library cite the works of Kishore Papineni, found in their bibliographies · page 14 of 14 · 1301–1330…"
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# Who cites Kishore Papineni

11,128 citations of their works from 11,112 papers of our library (of the 149,439 whose bibliographies we read) · 1,330 with a page here, the most cited first · page 14 of 14 · 1301–1330 · [← Kishore Papineni](https://md.research.elamur.ai/free/en/authors/kishore-papineni/)

[← prev](https://md.research.elamur.ai/free/en/authors/kishore-papineni/cited-by/page/13/) [1](https://md.research.elamur.ai/free/en/authors/kishore-papineni/cited-by/) … [10](https://md.research.elamur.ai/free/en/authors/kishore-papineni/cited-by/page/10/) … [13](https://md.research.elamur.ai/free/en/authors/kishore-papineni/cited-by/page/13/) **14**

1301. **[ViLegalLM: Language Models for Vietnamese Legal Text](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vilegallm-language-models-vietnamese-legal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Truong-Phuc Nguyen, Quy-Nhan Nguyen, Minh-Tien Nguyen*2026*
1302. **[Visual and Memory–Augmented Soccer Commentary Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-visual-memory-augmented-soccer-commentary/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoran Sun, Natthawut Kertkeidkachorn, Kiyoaki Shirai*2026*
1303. **[What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance](https://md.research.elamur.ai/free/en/papers/watson-2026-what-makes-good-query-measuring/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**William Watson, Nicole Cho, Sumitra Ganesh, et al.*2026*
1304. **[When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content](https://md.research.elamur.ai/free/en/papers/nishimwe-2026-when-gold-standard-isn-t/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Lydia Nishimwe, Benoît Sagot, Rachel Bawden*2026*
1305. **[Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation](https://md.research.elamur.ai/free/en/papers/qian-2026-why-do-large-language-models/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Shenbin Qian, Yves Scherrer*2026*
1306. **[XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts](https://md.research.elamur.ai/free/en/papers/xu-2026-xmark-reliable-multi-bit-watermarking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiahao Xu, Rui Hu, Olivera Kotevska, et al.*2026*
1307. **[You Can Have a Second Chance: Unbiased and Multi-bit Watermarking for Diffusion Language Models with Regret-based Remasking](https://md.research.elamur.ai/free/en/papers/yang-2026-you-can-have-second-chance/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ke Yang, Dongyang Liang, Jing Yu, et al.*2026*
1308. **[ZIP: Quantifying Which Words Matter in Zero-Shot Instructional Prompts](https://md.research.elamur.ai/free/en/papers/sadr-2026-zip-quantifying-which-words-matter/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.*2026*
1309. **[A Multi-Task Learning Approach to Dialectal Arabic Identification and Translation to Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/khered-2025-multi-task-learning-approach-dialectal/) [Workshop on Advancing NLP for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/lowresnlp/)**Abdullah Khered, Youcef Benkhedda, Riza Batista-Navarro*2025*
1310. [**AI-Driven Generation of Old English: A Framework for Low-Resource Languages**Rodrigo Gabriel Salazar Alva, Matias Nunez, Cristian Lopez, et al.*2025*](https://md.research.elamur.ai/free/en/papers/alva-2025-ai-driven-generation-old-english/)
1311. [**Arabic Hate Speech Identification and Masking in Social Media using Deep Learning Models and Pre-trained Models Fine-tuning arXiv:2507.23661**Salam Thabet Doghmash, Motaz Saad*2025*](https://md.research.elamur.ai/free/en/papers/doghmash-2025-arabic-hate-speech-identification-masking/)
1312. [**CourtPressGER: A German Court Decision to Press Release Summarization Dataset arXiv:2512.09434**Sebastian Nagl, Mohamed Elganayni, Melanie Pospisil, et al.*2025*](https://md.research.elamur.ai/free/en/papers/nagl-2025-courtpressger-german-court-decision-press/)
1313. **[Developing A German Document-Level Parallel Dataset For Automatic Text Simplification To Generate Easy Language](https://md.research.elamur.ai/free/en/papers/jiranek-2025-developing-german-document-level-parallel/) [Conference on Natural Language Processing](https://md.research.elamur.ai/free/en/venues/konvens/)**Vivien Jiranek, Stefan Hillmann*2025*
1314. **[LC-Eval: A Bilingual Multi-Task Evaluation Benchmark for Long-Context Understanding](https://md.research.elamur.ai/free/en/papers/jubair-2025-lc-eval-bilingual-multi-task/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sheikh Jubair, Arwa Omayrah, Amal Alshammari, et al.*2025*
1315. [**Semitic Root Encoding: Tokenization Based on the Templatic Morphology of Semitic Languages in NMT**Brendan T. Hatch, Stephen D. Richardson*2025*](https://md.research.elamur.ai/free/en/papers/hatch-2025-semitic-root-encoding-tokenization-based/)
1316. [**Survey of Tool Use in Large Language Models (大语言模型的工具使用综述) Acta Automatica Sinica (自动化学报)**Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zheng-2025-tool-use-large/)
1317. [**Advancing Complex Medical Communication in Arabic with Sporo AraSum: Surpassing Existing Large Language Models arXiv:2411.13518**Chanseo Lee, Sonu Kumar, Kimon A. Vogt, et al.*2024*](https://md.research.elamur.ai/free/en/papers/lee-2024-advancing-complex-medical-communication-arabic/)
1318. [**Generation and Evaluation of English Grammar Multiple-Choice Cloze Exercises**Nicolò Donati, Matteo Periani, Paolo Di Natale, et al.*2024*](https://md.research.elamur.ai/free/en/papers/donati-2024-generation-evaluation-english-grammar-multiple/)
1319. [**Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language**Vitaly Shalumov, Harel Haskey, Yuval Solaz*2024*](https://md.research.elamur.ai/free/en/papers/shalumov-2024-mevaker-conclusion-extraction-allocation-resources/)
1320. **[Survey on Document-level Neural Machine Translation (文档级神经机器翻译综述)](https://md.research.elamur.ai/free/en/papers/lv-2024-document-level-neural/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Xinglin Lv (吕星林), Junhui Li (李军辉), Shimin Tao (陶仕敏), et al.*2024*
1321. **[Comparing DAE-based and MASS-based UNMT: Robustness to Word-Order Divergence in English–\ensuremath>Indic Language Pairs](https://md.research.elamur.ai/free/en/papers/banerjee-2023-comparing-dae-based-mass-based/) [International Conference on Natural Language Processing (ICON)](https://md.research.elamur.ai/free/en/venues/icon/)**Tamali Banerjee, Rudra Murthy, Pushpak Bhattacharyya*2023*
1322. **[Barch: an English Dataset of Bar Chart Summaries](https://md.research.elamur.ai/free/en/papers/skrjanec-2022-barch-english-dataset-bar-chart/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Iza Škrjanec, Muhammad Salman Edhi, Vera Demberg*2022*
1323. **[German-Arabic Speech-to-Speech Translation for Psychiatric Diagnosis](https://md.research.elamur.ai/free/en/papers/hussain-2020-german-arabic-speech-speech-translation/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Juan Hussain, Mohammed Mediani, Moritz Behr, et al.*2020*
1324. **[Traitement des Mots Hors Vocabulaire pour la Traduction Automatique de Document OCRisés en Arabe (This article presents a new system that automatically translates images of Arabic documents)](https://md.research.elamur.ai/free/en/papers/bouzidi-2017-traitement-des-mots-hors-vocabulaire/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Kamel Bouzidi, Zied Elloumi, Laurent Besacier, et al.*2017*
1325. [**Addressing Community Question Answering in English and Arabic arXiv:1610.05522**Giovanni Da San Martino, Alberto Barron-Cedeno, Salvatore Romeo, et al.*2016*](https://md.research.elamur.ai/free/en/papers/martino-2016-addressing-community-question-answering-english/)
1326. [**Enhancing function word translation with syntax-based statistical post-editing**John Richardson, Toshiaki Nakazawa, Sadao Kurohashi*2015*](https://md.research.elamur.ai/free/en/papers/richardson-2015-enhancing-function-word-translation-syntax/)
1327. **[Traitement automatique des entités nommées en arabe: détection et traduction Automatic processing of Arabic named entities: detection and translation](https://md.research.elamur.ai/free/en/papers/braham-2013-traitement-automatique-des-entites-nommees/) [Traitement Automatique des Langues](https://md.research.elamur.ai/free/en/venues/tal/)**Souhir Gahbiche-Braham, Hélène Bonneau-Maynard, François Yvon*2013*
1328. **[Formal v. Informal: Register-Differentiated Arabic MT Evaluation in the PLATO Paradigm](https://md.research.elamur.ai/free/en/papers/miller-2006-formal-v-informal-register-differentiated/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Keith J. Miller, Michelle Vanni*2006*
1329. [**A trainable transfer-based MT approach for languages with limited resources**Alon Lavie, Katharina Probst, Erik Peterson, et al.*2004*](https://md.research.elamur.ai/free/en/papers/lavie-2004-trainable-transfer-based-mt-approach/)
1330. [**Czech-English Dependency Tree-based Machine Translation**Martin Čmejrek, Jan Cuřín, Jiří Havelka*2003*](https://md.research.elamur.ai/free/en/papers/cmejrek-2003-czech-english-dependency-tree-based/)

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