--- title: "Papers of 2026 — page 57 — 5,636 papers, the most cited first" description: "Papers of 2026: 5,636 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/57/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2026/page/57/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2026 # Papers of 2026 — page 57 5,636 papers · [papers of all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2026/page/56/) [1](https://md.research.elamur.ai/free/en/papers/2026/) … [50](https://md.research.elamur.ai/free/en/papers/2026/page/50/) … [56](https://md.research.elamur.ai/free/en/papers/2026/page/56/) **57** **[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* **[XiaoM at SemEval-2026 Task 7: A Qwen-based System for Accurate Retrieval of Everyday Knowledge Across Diverse Languages and Cultures](https://md.research.elamur.ai/free/en/papers/yao-2026-xiaom-semeval-2026-task-7/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Xiao Yao, Liang Yang*2026* **[Xin1212 at NakbaVirality Shared Task: Frozen CLIP with Residual Adapter for Multimodal Virality Classification](https://md.research.elamur.ai/free/en/papers/zhang-2026-xin1212-nakbavirality-shared-task-frozen/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Xinyan Zhang, Bingzhou Yang*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* **[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* - [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 **[YangSteam at SemEval-2026 Task 3: Transformer-Based Aspect-Aware Regression for Dimensional Sentiment and Stance Analysis](https://md.research.elamur.ai/free/en/papers/yang-2026-yangsteam-semeval-2026-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Tsung-Hsien Yang, Shu-Fei Yang*2026* **[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* **[YNU-HPCC at SemEval-2026 Task 13: Robust Machine-Generated Code Detection under Distribution Shifts](https://md.research.elamur.ai/free/en/papers/xing-2026-ynu-hpcc-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Lixian Xing, Jin Wang, Xuejie Zhang*2026* **[YNU-HPCC at SemEval-2026 Task 6: Hierarchical Taxonomy Prompting and CoT Distillation for Political Clarity Classification](https://md.research.elamur.ai/free/en/papers/wen-2026-ynu-hpcc-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Canning Wen, Jin Wang, Xuejie Zhang*2026* **[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* **[You Only Need One Single Token to Refine Safety Alignment](https://md.research.elamur.ai/free/en/papers/yu-2026-you-only-need-one-single/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenqian Yu, Shuo Chen, Zhijiang Li, et al.*2026* **[Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning Benchmarks](https://md.research.elamur.ai/free/en/papers/wang-2026-your-reasoning-benchmark-may-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinhe Wang, Jin Huang, Xingjian Zhang, et al.*2026* **[Your Reasoning Model Knows What Counts: Self-Guided Chain-of-Thought Pruning for Efficient Reasoning](https://md.research.elamur.ai/free/en/papers/ma-2026-your-reasoning-model-knows-what/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zi-Ao Ma, Xian-Ling Mao, Tian Lan, et al.*2026* **[Yoysef Meyer Yavets (1832–1914), Yiddish Translator of Sacred Jewish Books](https://md.research.elamur.ai/free/en/papers/hever-chybowski-2026-yoysef-meyer-yavets-18321914-yiddish/) [Yod](https://md.research.elamur.ai/free/en/venues/yod/)**Tal Hever-Chybowski*2026* **[Zero Shot Phonics: Evaluating Constraint-Adherent Phonics Story Generation in Large Language Models](https://md.research.elamur.ai/free/en/papers/manlises-2026-zero-shot-phonics-evaluating-constraint/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Maria Monica Manlises, Ethel Ong*2026* **[Zero-Shot Context-Aware ASR for Diverse Arabic Varieties](https://md.research.elamur.ai/free/en/papers/talafha-2026-zero-shot-context-aware-asr/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bashar Talafha, Amin Abu Alhassan, Muhammad Abdul-Mageed*2026* **[Zero-Shot Detection of LLM-Generated Text using Temperature Sensitivity](https://md.research.elamur.ai/free/en/papers/ma-2026-zero-shot-detection-llm-generated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shixuan Ma, Jiahao Li, Zhendong Mao, et al.*2026* **[Zero-Shot Open-Schema Entity Structure Discovery](https://md.research.elamur.ai/free/en/papers/xu-2026-zero-shot-open-schema-entity/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xueqiang Xu, Jinfeng Xiao, James Barry, et al.*2026* **[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* **[ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval](https://md.research.elamur.ai/free/en/papers/yang-2026-zoomr-memory-efficient-reasoning-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**David H. Yang, Yuxuan Zhu, Mohammad Mohammadi Amiri, et al.*2026* **[“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* **[“Excuse me, may I say something...” CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations](https://md.research.elamur.ai/free/en/papers/wu-2026-excuse-me-may-i-say/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Wu, Jinhong Yu, Jingwei Xiong, et al.*2026* **[“Newspaper Eat” Means “Not Tasty”: A Taxonomy and Benchmark for Coded Language in Real-World Chinese Online Reviews](https://md.research.elamur.ai/free/en/papers/wan-2026-newspaper-eat-means-not-tasty/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruyuan Wan, Changye Li, Ting-Hao Kenneth Huang*2026* **[“Oat Milk Vegan Chocolate Taste Great!”: Monitoring the Food Transition Debate in Reddit](https://md.research.elamur.ai/free/en/papers/zella-2026-oat-milk-vegan-chocolate-taste/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Greta Zella, Jan Willem Bolderdijk, Saskia Peels, et al.*2026* **[“OK Aura, Be Fair with Me”: Demographics-Agnostic Training for Bias Mitigation in Wake-up Word Detection](https://md.research.elamur.ai/free/en/papers/lopez-2026-ok-aura-be-fair-me/) [Speech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LREC](https://md.research.elamur.ai/free/en/venues/speakable/)**Fernando López, Paula Delgado-Santos, Pablo Gómez, et al.*2026* **[“Sorry, Can't Help You”: How Large Language Models Judge Failures to Help Across Languages](https://md.research.elamur.ai/free/en/papers/nair-2026-sorry-can-t-help-you/) [Workshop on Cross-Cultural Considerations in NLP](https://md.research.elamur.ai/free/en/venues/c3nlp/)**Pavithra P M Nair, Gilad Gressel, Krishnashree Achuthan*2026* **[“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* **[🧑‍🍳 Cooking Up Creativity: Enhancing LLM Creativity through Structured Recombination](https://md.research.elamur.ai/free/en/papers/mizrahi-2026-cooking-up-creativity-enhancing-llm/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Moran Mizrahi, Chen Shani, Gabriel Stanovsky, et al.*2026* [← prev](https://md.research.elamur.ai/free/en/papers/2026/page/56/) [1](https://md.research.elamur.ai/free/en/papers/2026/) … [50](https://md.research.elamur.ai/free/en/papers/2026/page/50/) … [56](https://md.research.elamur.ai/free/en/papers/2026/page/56/) **57**