---
title: "Who cites Wei Hong Xu — page 5 — 2,893 papers of our library"
description: "2,893 papers of the Elamur Research library cite the works of Wei Hong Xu, found in their bibliographies · page 5 of 5 · 401–477; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/wei-hong-xu/cited-by/page/5/"
---
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# Who cites Wei Hong Xu

3,606 citations of their works from 2,893 papers of our library (of the 149,439 whose bibliographies we read) · 477 with a page here, the most cited first · page 5 of 5 · 401–477 · [← Wei Hong Xu](https://md.research.elamur.ai/free/en/authors/wei-hong-xu/)

[← prev](https://md.research.elamur.ai/free/en/authors/wei-hong-xu/cited-by/page/4/) [1](https://md.research.elamur.ai/free/en/authors/wei-hong-xu/cited-by/) … [4](https://md.research.elamur.ai/free/en/authors/wei-hong-xu/cited-by/page/4/) **5**

401. **[LIS at BAREC Shared Task 2025: Multi-Scale Curriculum Learning for Arabic Sentence-Level Readability Assessment Using Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/djoudi-2025-lis-barec-shared-task-2025/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Anya Amel Nait Djoudi, Patrice Bellot, Adrian-Gabriel Chifu*2025 · 1 citation*
402. **[MarsadLab at PalmX Shared Task: An LLM Benchmark for Arabic Culture and Islamic Civilization](https://md.research.elamur.ai/free/en/papers/biswas-2025-marsadlab-palmx-shared-task-llm/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Md. Rafiul Biswas, Shimaa Ibrahim, Kais Attia, et al.*2025 · 1 citation*
403. **[Phoenix at Palmx: Exploring Data Augmentation for Arabic Cultural Question Answering](https://md.research.elamur.ai/free/en/papers/atou-2025-phoenix-palmx-exploring-data-augmentation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Houdaifa Atou, Issam Ait Yahia, Ismail Berrada*2025 · 1 citation*
404. [**Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models arXiv:2405.12884**Abdurahmman Alzahrani, Eyad Babkier, Faisal Yanbaawi, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alzahrani-2024-investigating-persuasion-techniques-arabic-empirical/)
405. **[Enhancing Deep Learning with Embedded Features for Arabic Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/hatab-2022-enhancing-deep-learning-embedded-features/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ali L. Hatab, Caroline Sabty, Slim Abdennadher*2022 · 1 citation*
406. **[Align and Shine: Building High-quality Sentence-aligned Corpora for Multilingual Text Simplification](https://md.research.elamur.ai/free/en/papers/sanchez-2026-align-shine-building-high-quality/) [Workshop on Building and Using Comparable Corpora (BUCC)](https://md.research.elamur.ai/free/en/venues/bucc/)**Luis Kenji Hilasaca Sanchez, Nouran Khallaf, Serge Sharoff*2026*
407. **[Assessing Small Language Models as Text Simplification Evaluators](https://md.research.elamur.ai/free/en/papers/navarrete-2026-assessing-small-language-models-as/) [Workshop on Evaluating Text Difficulty in a Multilingual Context](https://md.research.elamur.ai/free/en/venues/determit/)**David Carranza Navarrete, Jan Bakker, Jaap Kamps*2026*
408. [**AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing**Sarubi Thillainathan, Ji-Ung Lee, Michael Sullivan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thillainathan-2026-authormix-modular-authorship-style-transfer/)
409. **[AYN: A Tiny Yet Competitive Indian Legal Language Model Pretrained from Scratch](https://md.research.elamur.ai/free/en/papers/niyogi-2026-ayn-tiny-yet-competitive-indian/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya*2026*
410. [**Beyond Cultural Knowledge: Evaluating Arabic Cultural Appropriateness of Large Language Models arXiv:2609.16006**Enes Altinisik, Hamdy Mubarak, Masoomali Fatehkia, et al.*2026*](https://md.research.elamur.ai/free/en/papers/altinisik-2026-cultural-knowledge-evaluating-arabic-cultural/)
411. **[Beyond One-Size-Fits-All: Multi-Agent Refinement Framework for Persona-Based Biomedical Summarization](https://md.research.elamur.ai/free/en/papers/salvi-2026-beyond-one-size-fits-all/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Rohan Charudatt Salvi, Chirag Chawla, Md. Shad Akhtar, et al.*2026*
412. **[CFQA: A Chinese Financial Question Answering Benchmark from Corporate Annual Reports](https://md.research.elamur.ai/free/en/papers/zhu-2026-cfqa-chinese-financial-question-answering/) [Financial Narrative Processing Workshop](https://md.research.elamur.ai/free/en/venues/fnp/)**Tianning Zhu, Mo Liu, Murathan Kurfali*2026*
413. **[Chinese Live-Streaming E-Commerce Morph Resolution: Datasets and Methods](https://md.research.elamur.ai/free/en/papers/qiang-2026-chinese-live-streaming-e-commerce/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jipeng Qiang, Jiahao Zhu, Yi Zhu, et al.*2026*
414. **[Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs](https://md.research.elamur.ai/free/en/papers/purkayastha-2026-common-sense-vs-morality-curious/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Saugata Purkayastha, Pranav Kushare, Pragya Paramita Pal, et al.*2026*
415. **[Conceptual Cultural Index: A Metric for Cultural Specificity via Relative Generality](https://md.research.elamur.ai/free/en/papers/ohashi-2026-conceptual-cultural-index-metric-cultural/) [Workshop on Multilingual Multicultural Evaluation](https://md.research.elamur.ai/free/en/venues/mme/)**Takumi Ohashi, Hitoshi Iyatomi*2026*
416. **[Controllable Sentence Simplification in Italian: Fine-Tuning Large Language Models on Automatically Generated Resources](https://md.research.elamur.ai/free/en/papers/papucci-2026-controllable-sentence-simplification-italian-fine/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Michele Papucci, Giulia Venturi, Felice Dell'Orletta*2026*
417. **[DefGen-Bench: A Benchmark for Chinese Criminal Defence Opinion Generation in LegalAI](https://md.research.elamur.ai/free/en/papers/zhang-2026-defgen-bench-benchmark-chinese-criminal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Senbo Zhang, Qiqi Wang, Fanghao Lou, et al.*2026*
418. **[Defining Cultural Capabilities for AI Evaluation: A Taxonomy Grounded in Intercultural Communication Theory](https://md.research.elamur.ai/free/en/papers/nejadgholi-2026-defining-cultural-capabilities-ai-evaluation/) [Workshop on Evaluating Evaluations (EvalEval)](https://md.research.elamur.ai/free/en/venues/evaleval/)**Isar Nejadgholi, Masoud Kianpour, Krishnapriya Vishnubhotla, et al.*2026*
419. **[Distributional Alignment for Large Language Models under Domain Shift](https://md.research.elamur.ai/free/en/papers/pham-2026-distributional-alignment-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Viet Thanh Pham, Lizhen Qu, Zhuang Li, et al.*2026*
420. **[Document-Level Text Simplification in Estonian Using Large Language Models](https://md.research.elamur.ai/free/en/papers/muru-2026-document-level-text-simplification-estonian/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Meeri-Ly Muru, Eduard Barbu*2026*
421. **[Don't Want Your LLM to Recommend Nuclear Strike? Try Asking It in Japanese](https://md.research.elamur.ai/free/en/papers/touchent-2026-don-t-want-your-llm/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Rian Touchent*2026*
422. **[Efficient Prior-Guided Reasoning for Robust Retrieval-Augmented Generation under Conflicts](https://md.research.elamur.ai/free/en/papers/yuan-2026-efficient-prior-guided-reasoning-robust/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaowei Yuan, Ziyang Huang, Zhao Yang, et al.*2026*
423. **[Evaluating Language Model Pluralism through In-the-wild Crowd Discussions](https://md.research.elamur.ai/free/en/papers/mundada-2026-evaluating-language-model-pluralism-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gagan Mundada, Rohan Surana, Nandhini Swaminathan, et al.*2026*
424. **[Evaluating LLM-based Text Simplification for German: Effects on Post-Editing Effort, Quality Ratings, and User Comprehension](https://md.research.elamur.ai/free/en/papers/carrer-2026-evaluating-llm-based-text-simplification/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Luisa Carrer, Andreas Säuberli, Martin Kappus, et al.*2026*
425. **[Evaluation of Document-Level Text Simplification in Japanese](https://md.research.elamur.ai/free/en/papers/yamashita-2026-evaluation-document-level-text-simplification/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Iori Yamashita, Hikari Tanaka, Hajime Kiyama, et al.*2026*
426. **[Event Detection with a Context-Aware Encoder and LoRA for Improved Performance on Long-Tailed Classes](https://md.research.elamur.ai/free/en/papers/monsur-2026-event-detection-context-aware-encoder/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Abdullah Al Monsur, Nitesh Vamshi Bommisetty, Gene Louis Kim*2026*
427. **[EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain](https://md.research.elamur.ai/free/en/papers/lu-2026-exceeds-extracting-complex-events-nugget/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yi-Fan Lu, Xian-Ling Mao, Bo Wang, et al.*2026*
428. **[Exploring Cognitively Informed Sentence Simplification with Gaze-Guided Text Generation](https://md.research.elamur.ai/free/en/papers/sauberli-2026-exploring-cognitively-informed-sentence-simplification/) [fo the International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLP](https://md.research.elamur.ai/free/en/venues/gaze4nlp/)**Andreas Säuberli, Diego Frassinelli, Barbara Plank*2026*
429. **[FAIRGAMER: Evaluating Social Biases in LLM-Based Video Game NPCs](https://md.research.elamur.ai/free/en/papers/shi-2026-fairgamer-evaluating-social-biases-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bingkang Shi, Jen-tse Huang, Luo Long, et al.*2026*
430. **[Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical Evidence](https://md.research.elamur.ai/free/en/papers/mo-2026-faithfulness-vs-safety-evaluating-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaijie Mo, Siddhartha Venkatayogi, Chantal Shaib, et al.*2026*
431. **[G-HiRel: Enhancing the Adaption to Knowledge Updating for Large Language Model Reasoning](https://md.research.elamur.ai/free/en/papers/pan-2026-g-hirel-enhancing-adaption-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yudai Pan, Jiajie Hong, Tianzhe Zhao, et al.*2026*
432. **[How Retrieved Context Shapes Internal Representations in RAG](https://md.research.elamur.ai/free/en/papers/yeh-2026-how-retrieved-context-shapes-internal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Samuel Yeh, Sharon Li*2026*
433. **[Improving on State-of-the-Art Models for Sentiment Analysis on Saudi-English Code-Switching Text](https://md.research.elamur.ai/free/en/papers/alghamdi-2026-improving-state-art-models-sentiment/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Samaher Alghamdi, Paul Rayson, Reem Alotibi*2026*
434. **[InsideOut: Measuring and Mitigating Insider–Outsider Bias in Interview Script Generation](https://md.research.elamur.ai/free/en/papers/wan-2026-insideout-measuring-mitigating-insider-outsider/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Wan, Xingrun Chen, Kai-Wei Chang*2026*
435. **[Integrating AI into Arabic Linguistics: A Methodological Framework for Reproducible and Interpretable Research](https://md.research.elamur.ai/free/en/papers/akzam-2026-integrating-ai-arabic-linguistics-methodological/) [Al-Ta rib Jurnal Ilmiah Program Studi Pendidikan Bahasa Arab IAIN Palangka Raya](https://md.research.elamur.ai/free/en/venues/al-ta-rib-jurnal-ilmiah-program-studi-pendidikan-bahasa-arab-iain-palangka-raya/)**Ismail Akzam, Mohammad Ikhwan Bin Abdullah*2026*
436. **[LegalSim-PT: Building a Dataset for Legal Document Simplification in Portuguese Leveraging Linguistic Metrics](https://md.research.elamur.ai/free/en/papers/scalercio-2026-legalsim-pt-building-dataset-legal/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Arthur Scalercio, Maria José Finatto, Aline Paes*2026*
437. **[Leveraging Unannotated Sign Language Data via a Robust Data Augmentation Method for Contrastive Representation Learning](https://md.research.elamur.ai/free/en/papers/madjoukeng-2026-leveraging-unannotated-sign-language-data/) [LREC Workshop on the Representation and Processing of Sign Languages: Language in Motion](https://md.research.elamur.ai/free/en/venues/signlang/)**Ariel Basso Madjoukeng, Pierre Poitier, Belise Edith Kenmogne, et al.*2026*
438. **[LLM-Generated Stories for Students with Significant Cognitive Disabilities: Promise, Gaps, and Evaluation Framework](https://md.research.elamur.ai/free/en/papers/maheshwary-2026-llm-generated-stories-students-significant/) [Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC](https://md.research.elamur.ai/free/en/venues/readi/)**Pragati Maheshwary, Ananya Ganesh, Shamya Karumbaiah*2026*
439. **[LLMs as Cultural Archives: Cultural Commonsense Knowledge Graph Extraction](https://md.research.elamur.ai/free/en/papers/tonga-2026-llms-as-cultural-archives-cultural/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Junior Cedric Tonga, Chen Cecilia Liu, Iryna Gurevych, et al.*2026*
440. **[Mask-to-Correct+: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction](https://md.research.elamur.ai/free/en/papers/santra-2026-mask-correct-leveraging-retriever-diversity/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Payel Santra, Lavisha Sharma, Madhusudan Ghosh, et al.*2026*
441. **[Memory-Guided Hard Data Augmentation for Multimodal Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/liu-2026-memory-guided-hard-data-augmentation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinyu Liu, Kai fu, Yinghan Shi, et al.*2026*
442. **[Mitigating Cultural Bias in LLMs via Multi-Agent Cultural Debate](https://md.research.elamur.ai/free/en/papers/tan-2026-mitigating-cultural-bias-llms-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qian Tan, Lei Jiang, Yuting Zeng, et al.*2026*
443. **[Modeling Perspectives in NLP: Parameter-Efficient Perspective Conditioning for Span Extraction and Summarization](https://md.research.elamur.ai/free/en/papers/saisudha-2026-modeling-perspectives-nlp-parameter-efficient/) [edition of NLPerspectives](https://md.research.elamur.ai/free/en/venues/nlperspectives/)**Harikrishnan Gurushankar Saisudha, Sabine Bergler*2026*
444. **[Multilingual Target-Stance Extraction](https://md.research.elamur.ai/free/en/papers/mines-2026-multilingual-target-stance-extraction/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ethan Leigh Mines, Bonnie J. Dorr*2026*
445. **[Nanda Family: Open-Weights Generative Large Language Models for Hindi](https://md.research.elamur.ai/free/en/papers/singh-2026-nanda-family-open-weights-generative/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Aaryamonvikram Singh, Debopriyo Banerjee, Dhruv Sahnan, et al.*2026*
446. **[OasisSimp: An Open-source Asian-English Sentence Simplification Dataset](https://md.research.elamur.ai/free/en/papers/liu-2026-oasissimp-open-source-asian-english/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hannah Liu, Murphy Tian, Iqra Ali, et al.*2026*
447. **[Opportunities and Challenges of LLMs in Education: An NLP Perspective](https://md.research.elamur.ai/free/en/papers/vajjala-2026-opportunities-challenges-llms-education-nlp/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.*2026*
448. **[Parallel Corpus Filtering Based on Semantic Similarity and Surface Dissimilarity for Japanese Text Simplification with LLMs](https://md.research.elamur.ai/free/en/papers/maekawa-2026-parallel-corpus-filtering-based-semantic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Daisuke Maekawa, Tomoyuki Kajiwara, Takashi Ninomiya*2026*
449. [**PlainMedScale: A Corpus of Multi-Level Simplified Medical Texts in German and English arXiv:2608.01158**Bruno Brocai, Ilaria Papagno, Mayumi Ohta*2026*](https://md.research.elamur.ai/free/en/papers/brocai-2026-plainmedscale-corpus-multi-level-simplified/)
450. **[Position: What Are We Measuring? Rethinking Evaluation in Natural Language Generation](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-position-what-are-we-measuring/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Wajdi Zaghouani*2026*
451. **[Proficiency-Controlled Text Simplification in European Portuguese: A Preliminary Study using Prompting Approaches](https://md.research.elamur.ai/free/en/papers/ribeiro-2026-proficiency-controlled-text-simplification-european/) [Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC](https://md.research.elamur.ai/free/en/venues/readi/)**Eugénio Ribeiro, David Antunes, Nuno Mamede, et al.*2026*
452. **[Rational Synthesizers or Heuristic Followers? Analyzing LLMs in RAG-based Question-Answering](https://md.research.elamur.ai/free/en/papers/naphade-2026-rational-synthesizers-or-heuristic-followers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Atharv Naphade*2026*
453. [**SDUs DAISY: A Benchmark for Danish Culture arXiv:2601.19930**Jacob Nielsen, Stine L. Beltoft, Peter Schneider-Kamp, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nielsen-2026-sdus-daisy-benchmark-danish-culture/)
454. **[sebis at ArchEHR-QA 2026: How Much Can You Do Locally? Evaluating Grounded EHR QA on a Single Notebook](https://md.research.elamur.ai/free/en/papers/yurt-2026-sebis-archehr-qa-2026-how/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Ibrahim Ebrar Yurt, Fabian Tobias Karl, Tejaswi Choppa, et al.*2026*
455. **[Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text Simplification](https://md.research.elamur.ai/free/en/papers/zhou-2026-simplify-pro-two-level-progressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peng Zhou, Guangxin Li, Xiaoying Huang, et al.*2026*
456. **[SLoRA: Balancing Plasticity and Forgetting in Large Language Models for Continual Learning](https://md.research.elamur.ai/free/en/papers/yang-2026-slora-balancing-plasticity-forgetting-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lina Yang, Yusheng Liao, Yanfeng Wang, et al.*2026*
457. **[Slovene Morphological and Word Formation Segmentation: A Novel Dataset and Evaluation](https://md.research.elamur.ai/free/en/papers/pranjic-2026-slovene-morphological-word-formation-segmentation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Marko Pranjić, Boris Kern, Ines Voršič, et al.*2026*
458. **[SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent Space](https://md.research.elamur.ai/free/en/papers/zinkovich-2026-sparta-evaluating-reasoning-segmentation-robustness/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Viktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al.*2026*
459. **[TAMU-NLP at ArchEHR-QA 2026: Grounded Clinical QA with Evidence Identification and Intent-Aware Answer Generation](https://md.research.elamur.ai/free/en/papers/su-2026-tamu-nlp-archehr-qa-2026/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Xinqi Su, Rongrong Wang, Sunyang Fu, et al.*2026*
460. [**The Algorithmic Unconscious: Structural Mechanisms and Implicit Biases in Large Language Models arXiv:2602.18468**Philippe Boisnard*2026*](https://md.research.elamur.ai/free/en/papers/boisnard-2026-algorithmic-unconscious-structural-mechanisms-implicit/)
461. **[The American Palimpsest: Quantifying South Asian English Dialect Erasure in LLMs](https://md.research.elamur.ai/free/en/papers/bharati-2026-american-palimpsest-quantifying-south-asian/) [Workshop on Cross-Cultural Considerations in NLP](https://md.research.elamur.ai/free/en/venues/c3nlp/)**Soumedhik Bharati, Shibam Mandal, Swarup Kr Ghosh, et al.*2026*
462. [**The Role of Dataset Linguistic Structure in the Cultural Awareness of Large Language Models arXiv:2602.01161**Reem I. Masoud, Chen Feng, Shunta Asano, et al.*2026*](https://md.research.elamur.ai/free/en/papers/masoud-2026-role-dataset-linguistic-structure-cultural/)
463. **[Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and Humanities](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-responsible-epistemically-grounded-multilingual-llms/) [Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LREC](https://md.research.elamur.ai/free/en/venues/llms4ssh/)**Wajdi Zaghouani*2026*
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466. **[UNSC-Bench: Evaluating LLM Diplomatic Role-Playing Through UN Security Council Vote Prediction](https://md.research.elamur.ai/free/en/papers/nangia-2026-unsc-bench-evaluating-llm-diplomatic/) [Workshop on Multilingual Multicultural Evaluation](https://md.research.elamur.ai/free/en/venues/mme/)**Ayush Nangia, Aman Gokrani, Ruggero Marino Lazzaroni*2026*
467. **[When Facts Change: Temporal Knowledge Conflict Resolution in LLMs](https://md.research.elamur.ai/free/en/papers/wallat-2026-when-facts-change-temporal-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jonas Wallat, Wolfgang Nejdl, Sandipan Sikdar*2026*
468. **[“Decode the Law”: Towards Legal Text Simplification with Large Language Models](https://md.research.elamur.ai/free/en/papers/rabbani-2026-decode-law-legal-text-simplification/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mohammed Danish Rabbani, Subhadeep Roy, Sayantan Mitra, et al.*2026*
469. **[Generating Questions Under Discussion with Reinforcement Learning using Ranking and Scoring for Reward and Evaluation](https://md.research.elamur.ai/free/en/papers/han-2025-generating-questions-under-discussion-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kelvin Han, Claire Gardent*2025*
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472. [**Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care arXiv:2406.15966**Hassan Alhuzali, Ashwag Alasmari*2024*](https://md.research.elamur.ai/free/en/papers/alhuzali-2024-evaluating-effectiveness-foundational-models-q/)
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