---
title: "Papers of 2026 — page 48 — 4,780 papers, the most cited first"
description: "Papers of 2026: 4,780 papers of the Elamur Research library — what each work is about in our own words, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/papers/2026/page/48/"
---
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# Papers of 2026 — page 48

4,780 papers · [papers of all years](https://md.research.elamur.ai/free/en/papers/)

[← prev](https://md.research.elamur.ai/free/en/papers/2026/page/47/) [1](https://md.research.elamur.ai/free/en/papers/2026/) … [40](https://md.research.elamur.ai/free/en/papers/2026/page/40/) … [47](https://md.research.elamur.ai/free/en/papers/2026/page/47/) **48**

**[What the Router Sees Matters: Funnel Pooling for Fast, Content Driven Expert Routing](https://md.research.elamur.ai/free/en/papers/pichlmeier-2026-what-router-sees-matters-funnel/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Josef Pichlmeier, Sebastian Nicolas Mueller, Jakob Sturm, et al.*2026*

- [What's in a Bridge?: A Descriptive, Multi-Genre Analysis of the GUMBridge Corpus for Varieties of Bridging Anaphora](https://md.research.elamur.ai/free/en/papers/levine-2026-what-s-bridge-descriptive-multi/) — Lauren Levine, Amir Zeldes · English

**[When Bigger Isn't Better: Evaluating LLMs for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/ibrahim-2026-when-bigger-isn-t-better/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Mohamed Ibrahim, Abdullah Makki, Youssef Barakat, et al.*2026*

**[When depth is redundant: Efficient transformer-based speech anti-spoofing](https://md.research.elamur.ai/free/en/papers/tran-2026-when-depth-is-redundant-efficient/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hoan My Tran, Damien Lolive, Aghilas Sini, et al.*2026*

- [When Discourse Pressures Conflict: Information Structure in Vision-Language Model Outputs arXiv:2605.28346](https://md.research.elamur.ai/free/en/papers/fekete-2026-discourse-pressures-conflict-information-structure/) — Marcell Fekete, Johannes Bjerva, Tamas Kaldi · 2026

**[When Does Auxiliary Modality Matter in Solving Geometric Problems? A Comprehensive Study of Textual, Formal, and Visual Modalities](https://md.research.elamur.ai/free/en/papers/namgoong-2026-when-does-auxiliary-modality-matter/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hyuk Namgoong, Jeesu Jung, Yerim Han, et al.*2026*

**[When Does OmniASR Fail? A Fine-Grained Human Evaluation on Saudi Arabic Dialects](https://md.research.elamur.ai/free/en/papers/khalifa-2026-when-does-omniasr-fail-fine/) [Speech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LREC](https://md.research.elamur.ai/free/en/venues/speakable/)**Hend Al-Khalifa*2026*

**[When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents](https://md.research.elamur.ai/free/en/papers/ning-2026-when-efficiency-becomes-vulnerability-computational/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang-Bo Ning, Yuchen Zhu, Heqing Huang, et al.*2026*

**[When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2026-when-efficiency-meets-safety-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoxiao Ma, Kuofeng Gao, Zeyi Lu, et al.*2026*

**[When English Isn't the Best Teacher: Source Language Effects in Cross-Lingual In-Context Learning](https://md.research.elamur.ai/free/en/papers/philippy-2026-when-english-isn-t-best/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Fred Philippy, Siwen Guo, Jacques Klein, et al.*2026*

**[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*

**[When Good OCR Is Not Enough: Benchmarking OCR Robustness for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-when-good-ocr-is-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lin Sun, Wangdexian, Jingang Huang, et al.*2026*

**[When LLMs Disagree with Human Experts: Understanding LLM Annotation Failures in Nutrition Misinformation through Hierarchical Error Analysis using Seed Oil Narratives](https://md.research.elamur.ai/free/en/papers/shah-2026-when-llms-disagree-human-experts/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Vishwaa Shah, Indika Kahanda, Andrea Arikawa*2026*

**[When Numbers Tell Half the Story: Human-Metric Alignment in Topic Model Evaluation](https://md.research.elamur.ai/free/en/papers/prouteau-2026-when-numbers-tell-half-story/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Thibault Prouteau, Francis Lareau, Nicolas Dugue, et al.*2026*

**[When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs](https://md.research.elamur.ai/free/en/papers/sun-2026-when-personalization-misleads-understanding-mitigating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhongxiang Sun, Yi Zhan, Chenglei Shen, et al.*2026*

**[When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models](https://md.research.elamur.ai/free/en/papers/shamsi-2026-when-prompt-optimization-becomes-jailbreaking/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zafir Shamsi, Nikhil Chekuru, Zachary Guzman, et al.*2026*

**[When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise](https://md.research.elamur.ai/free/en/papers/shin-2026-when-relations-break-analyzing-relation/) [Workshop on Advances in Language and Vision Research (ALVR)](https://md.research.elamur.ai/free/en/venues/alvr/)**Philip Wootaek Shin, Ajay Narayanan Sridhar, Lakshmi Sivani Devarapalli, et al.*2026*

**[When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval](https://md.research.elamur.ai/free/en/papers/tao-2026-when-rules-learn-self-evolving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mingxu Tao, Jiawei Hu, Xian Zhou, et al.*2026*

**[When Safety Alignment Fails to Generalize: Probing with Language Game Jailbreaks](https://md.research.elamur.ai/free/en/papers/long-2026-when-safety-alignment-fails-generalize/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zewen Long, Yu Peng, Fangming Dong, et al.*2026*

**[When Seeing Is not Enough: Revealing the Limits of Active Reasoning in MLLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-when-seeing-is-not-enough/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongcheng Liu, Pingjie Wang, Yuhao Wang, et al.*2026*

- [When Similar Means Different: Evaluating LLMs on Arabic–Hebrew Cognates](https://md.research.elamur.ai/free/en/papers/liang-2026-similar-means-different-evaluating-llms/) — Junhong Liang, Noor Abo Mokh, Bashar Alhafni · Modern Hebrew

**[When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents](https://md.research.elamur.ai/free/en/papers/mouilleron-2026-when-tables-go-crazy-evaluating/) [Financial Narrative Processing Workshop](https://md.research.elamur.ai/free/en/venues/fnp/)**Virginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.*2026*

**[When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/shalmani-2026-when-database-fails-prompting-llm/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Mohammad Alijanpour Shalmani, Alale Rezvani Boroujeni, Jiann S. Yuan*2026*

**[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*

- [When the Target Domain Changes: AI-Mediated Construct Drift in High-Stakes English Language AssessmenW arXiv:2607.11213](https://md.research.elamur.ai/free/en/papers/gui-2026-target-domain-changes-ai-mediated/) — Yi Gui · 2026

**[When Users Are Happy but Agents Are Wrong: Multi-Dimensional Evaluation of Tool-Augmented Dialogue](https://md.research.elamur.ai/free/en/papers/shourya-2026-when-users-are-happy-but/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Tanya Shourya, Yingfan Wang, Zhaoyi Joey Hou, et al.*2026*

**[When Words Don't Mean What They Say: Figurative Understanding in Bengali Idioms](https://md.research.elamur.ai/free/en/papers/sakhawat-2026-when-words-don-t-mean/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Adib Sakhawat, Shamim Ara Parveen, Md Ruhul Amin, et al.*2026*

**[When Words Wear Masks: Detecting Malicious Intents and Hostile Impacts of Online Hate Speech](https://md.research.elamur.ai/free/en/papers/singhal-2026-when-words-wear-masks-detecting/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Priyansh Singhal, Piyush Joshi*2026*

**[When “Correct” Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?](https://md.research.elamur.ai/free/en/papers/peng-2026-when-correct-is-not-safe/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yibo Peng, James Song, Lei Li, et al.*2026*

**[Where meaning lives: Layer-wise accessibility of psycholinguistic features in encoder and decoder language models](https://md.research.elamur.ai/free/en/papers/tikhomirova-2026-where-meaning-lives-layer-wise/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Taisiia Tikhomirova, Dirk U. Wulff*2026*

**[Which bird does not have wings: Negative-constrained KGQA with Schema-guided Semantic Matching and Self-directed Refinement](https://md.research.elamur.ai/free/en/papers/shim-2026-which-bird-does-not-have/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Midan Shim, Seokju Hwang, KaeHyun Um, et al.*2026*

**[Which Skills Debate Reaches the Public? Comparing Scientific Literature and Media Coverage of AI and LLM Skill Impacts (2022–2025)](https://md.research.elamur.ai/free/en/papers/reveilhac-2026-which-skills-debate-reaches-public/) [Edition of the Swiss Text Analytics Conference](https://md.research.elamur.ai/free/en/venues/swisstext/)**Maud Reveilhac, Gerold Schneider, Bohdan Trembovelskyi, et al.*2026*

**[Which Way Does Time Flow? A Psychophysics-Grounded Evaluation for Vision–Language Models](https://md.research.elamur.ai/free/en/papers/matta-2026-which-way-does-time-flow/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Shiho Matta, Lis Kanashiro Pereira, Peitao Han, et al.*2026*

**[Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM Judges](https://md.research.elamur.ai/free/en/papers/welivita-2026-who-generates-more-empathetic-responses/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Anuradha Welivita, Fawzia Zeitoun, Pearl Pu*2026*

**[Who Plays Which Role When? Communication Role Dynamics for Peer Recognition and Team Performance Prediction](https://md.research.elamur.ai/free/en/papers/song-2026-who-plays-which-role-when/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifan Song, Wenxuan Wendy Shi, Brian Bailey, et al.*2026*

**[Who Plays Which Role? Protagonist Detection and Classification in Moral Discourse](https://md.research.elamur.ai/free/en/papers/sommer-2026-who-plays-which-role-protagonist/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Mirko Sommer, Maria Becker*2026*

**[Who Speaks for Whom? LLM-Generated Survey Data as a Proxy for Public Opinion](https://md.research.elamur.ai/free/en/papers/venkatakrishnan-2026-who-speaks-whom-llm-generated/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Radhakrishnan Venkatakrishnan, Travis Brodbeck, Michael D. Young*2026*

**[Who You Are, What You Say: Intra- and Inter- Context Personality for Emotion Recognition in Conversation](https://md.research.elamur.ai/free/en/papers/rakib-2026-who-you-are-what-you/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tazeek Bin Abdur Rakib, Lay-Ki Soon, Wern Han Lim*2026*

- [Who's Behind It? Annotating and Extracting Conspiratorial Actors from German Telegram Posts arXiv:2607.04962](https://md.research.elamur.ai/free/en/papers/mihaljevic-2026-who-s-behind-annotating-extracting/) — Helena Mihaljevic, Jolanda Beer, Mareike Lisker, et al. · 2026

**[Whom to Trust? Analyzing the Divergence Between User Satisfaction and LLM-as-a-Judge in E-Commerce RAG Systems](https://md.research.elamur.ai/free/en/papers/turkmen-2026-whom-trust-analyzing-divergence-between/) [Workshop on Multilingual Multicultural Evaluation](https://md.research.elamur.ai/free/en/venues/mme/)**Arif Türkmen, Kaan Efe Keleş*2026*

**[Whose Pragmatics? Cultural Grounding as a Bottleneck for Stereotype Detection in Egyptian Arabic Social Media](https://md.research.elamur.ai/free/en/papers/assem-2026-whose-pragmatics-cultural-grounding-as/) [Workshop on Stereotypes Across Cultures in Language Technologies](https://md.research.elamur.ai/free/en/venues/stereacult/)**Samar A. Assem*2026*

- [Why Current XAI Is Not Enough for Arabic NLP: A Critical Survey of the Explainability Gap arXiv:2608.26144](https://md.research.elamur.ai/free/en/papers/lamsiyah-2026-why-current-xai-enough-arabic/) — Salima Lamsiyah, Ruslan Mitkov · 2026

**[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*

**[Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-why-does-reinforcement-learning-generalize/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dan Shi, Zhuowen Han, Simon Ostermann, et al.*2026*

**[Why is “Chicago” Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues](https://md.research.elamur.ai/free/en/papers/qu-2026-why-is-chicago-predictive-deceptive/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Jiaming Qu, Mengtian Guo, Yue Wang*2026*

**[Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language Models](https://md.research.elamur.ai/free/en/papers/luong-2026-why-lora-fails-forget-regularized/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hoang-Chau Luong, Lingwei Chen*2026*

**[Why Low-Resource NLP Needs More Than Cross-Lingual Transfer: Lessons Learned from Luxembourgish](https://md.research.elamur.ai/free/en/papers/philippy-2026-why-low-resource-nlp-needs/) [Big Picture v2: Crafting a Research Narrative](https://md.research.elamur.ai/free/en/venues/bigpicture/)**Fred Philippy, Siwen Guo, Jacques Klein, et al.*2026*

**[Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks](https://md.research.elamur.ai/free/en/papers/wang-2026-why-multimodal-context-learning-lags/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Wang, Sharon Li*2026*

- [Wiktionary as a Crowdsourced Lexicon for English Dialects](https://md.research.elamur.ai/free/en/papers/wong-2026-wiktionary-crowdsourced-lexicon-english-dialects/) — Sidney Wong · English

**[WildReward: Learning Reward Models from In-the-Wild Human Interactions](https://md.research.elamur.ai/free/en/papers/peng-2026-wildreward-learning-reward-models-wild/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.*2026*

**[WildSci: Advancing Scientific Reasoning from In-the-Wild Literature](https://md.research.elamur.ai/free/en/papers/liu-2026-wildsci-advancing-scientific-reasoning-wild/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tengxiao Liu, Deepak Nathani, Zekun Li, et al.*2026*

**[Will it Merge? On The Causes of Model Mergeability](https://md.research.elamur.ai/free/en/papers/rahamim-2026-will-it-merge-causes-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Adir Rahamim, Asaf Yehudai, Boaz Carmeli, et al.*2026*

- [WinoQueer-NL: Assessing Bias in Dutch Language Models toward LGBTQ+ Identities arXiv:2609.02651](https://md.research.elamur.ai/free/en/papers/beuk-2026-winoqueer-nl-assessing-bias-dutch/) — Jiska Beuk, Gerasimos Spanakis · 2026

**[Wise@DravidianLangTech 2026: Dialect-Aware Tamil Speech Classification and Recognition via Cross-Pipeline Embedding Transfer](https://md.research.elamur.ai/free/en/papers/s-2026-wise-dravidianlangtech-2026-dialect-aware/) [Workshop on Speech, Vision, and Language Technologies for Dravidian Languages](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/)**Ganesh Sundhar S, Hari Krishnan N, Gnanasabesan G, et al.*2026*

**[Worcester, William. 2023. The Boke of Noblesse and the English Texts from its Codicil. Edited by Catherine Nall and Daniel Wakelin. Early English Text Society O.S. 362. Oxford: Oxford University Press. Pp. 350. ISBN 9780198894513.](https://md.research.elamur.ai/free/en/papers/poggesi-2026-worcester-william-2023-boke-noblesse/) [SELIM Journal of the Spanish Society for Medieval English Language and Literature](https://md.research.elamur.ai/free/en/venues/selim-journal-of-the-spanish-society-for-medieval-english-language-and/)**Laura Poggesi*2026*

**[Word predictability estimates from language models are not robust to tokenizer vocabulary](https://md.research.elamur.ai/free/en/papers/nguyen-2026-word-predictability-estimates-language-models/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Kien Nguyen, Suhas Arehalli*2026*

**[Word Surprisal Correlates with Sentential Contradiction in LLMs](https://md.research.elamur.ai/free/en/papers/shi-2026-word-surprisal-correlates-sentential-contradiction/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ning Shi, Bradley Hauer, David Basil, et al.*2026*

**[Would LLMs be Good Historical Linguists and Chinese Dialect Learners?](https://md.research.elamur.ai/free/en/papers/liu-2026-would-llms-be-good-historical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yicheng Liu, Shumin Shi, Youchao Zhou, et al.*2026*

**[WoVis: Interactive Visualization of Word Embeddings for Semantic Change in Historical and Dialectal Language Resources](https://md.research.elamur.ai/free/en/papers/miletic-2026-wovis-interactive-visualization-word-embeddings/) [Workshop on Dialects in NLP –- A Resource Perspective](https://md.research.elamur.ai/free/en/venues/dialres/)**Filip Miletić, Maximilian Henkel, Rene Cutura, et al.*2026*

**[xLM: A Python Package for Non-Autoregressive Language Models](https://md.research.elamur.ai/free/en/papers/patel-2026-xlm-python-package-non-autoregressive/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Dhruvesh Patel, Durga Prasad Maram, Sai Sreenivas Chintha, et al.*2026*

**[XLSR-MamBo: Scaling the Hybrid Mamba-Attention Backbone for Audio Deepfake Detection](https://md.research.elamur.ai/free/en/papers/ng-2026-xlsr-mambo-scaling-hybrid-mamba/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kwok-Ho Ng, Tingting Song, Yongdong WU, et al.*2026*

- [YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models](https://md.research.elamur.ai/free/en/papers/reda-2026-yallamorph-benchmark-evaluating-arabic-morphological/) — Mahmoud Reda, Salam Khalifa, Reham Marzouk, et al. · Semitic languages

**[Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalization of Misinformation Detection Models](https://md.research.elamur.ai/free/en/papers/verhoeven-2026-yesterday-s-news-benchmarking-multi/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ivo Verhoeven, Pushkar Mishra, Ekaterina Shutova*2026*

**[Yeswa-Stories: A Three-Way Parallel Dataset of Female African Figures in Low-Web Data Languages](https://md.research.elamur.ai/free/en/papers/mamo-2026-yeswa-stories-three-way-parallel/) [Workshop on Gender-Inclusive Translation Technologies](https://md.research.elamur.ai/free/en/venues/gitt/)**Bethelhem Mamo, Hellina Nigatu*2026*

- [YMIR: A new Benchmark Dataset and Model for Arabic Yemeni Music Genre Classification Using Convolutional Neural Networks arXiv:2604.05011](https://md.research.elamur.ai/free/en/papers/al-makhlafi-2026-ymir-new-benchmark-dataset-model/) — Moeen AL-Makhlafi, Abdulrahman A. AlKannad, Eiad Almekhlafi, et al. · 2026

**[YNU-HPCC at SemEval-2026 Task 11: Mitigating Content Effects in Syllogistic Reasoning with Qwen2-1.5B-Instruct and XLM-RoBERTa-Large for English and Multilingual TasksMultilingual Tasks](https://md.research.elamur.ai/free/en/papers/luo-2026-ynu-hpcc-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Rongchuan Luo, Jin Wang, Xuejie Zhang*2026*

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