---
title: "Papers of 2026 — page 46 — 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/46/"
---
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# Papers of 2026 — page 46

5,636 papers · [papers of all years](https://md.research.elamur.ai/free/en/papers/)

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**[Propaganda Signals in LLMs: Perspectival Divergence and Narrative Framing in the Russia-Ukraine War](https://md.research.elamur.ai/free/en/papers/shabat-2026-propaganda-signals-llms-perspectival-divergence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ofir Shabat, Ido Guy, Kira Radinsky*2026*

**[PropGenie: A Multi-Agent Conversational Framework for Real Estate Assistance](https://md.research.elamur.ai/free/en/papers/shen-2026-propgenie-multi-agent-conversational-framework/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Chang Shen, Shaozu Yuan, Kuizong Wu, et al.*2026*

**[Protecting Bystander Privacy via Selective Hearing in Audio LLMs](https://md.research.elamur.ai/free/en/papers/zhan-2026-protecting-bystander-privacy-selective-hearing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Zhan, Guangzhi Sun, Jose Such, et al.*2026*

**[Protecting Language Models Against Unauthorized Distillation through Trace Rewriting](https://md.research.elamur.ai/free/en/papers/ma-2026-protecting-language-models-against-unauthorized/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinhang Ma, William Yeoh, Ning Zhang, et al.*2026*

**[ProUIE: A Macro-to-Micro Progressive Learning Method for LLM-based Universal Information Extraction](https://md.research.elamur.ai/free/en/papers/liu-2026-prouie-macro-micro-progressive-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenda Liu, Song Zhigang, Shuai Nie, et al.*2026*

**[ProverbIT - Easy to complete, hard to choose: A CALAMITA Challenge](https://md.research.elamur.ai/free/en/papers/mensa-2026-proverbit-easy-complete-hard-choose/) [Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop](https://md.research.elamur.ai/free/en/venues/evalita/)**Enrico Mensa, Lorenzo Zane, Calogero Jerik Scozzaro, et al.*2026*

**[Pru-CoT: Towards Efficient Reasoning Distillation via Pruning Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/liu-2026-pru-cot-efficient-reasoning-distillation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Han Liu, Shuotian Ma, Hui Li, et al.*2026*

**[Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs](https://md.research.elamur.ai/free/en/papers/si-2026-pruning-unsafe-tickets-resource-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wai Man Si, Mingjie Li, Michael Backes, et al.*2026*

**[Pseudo-Likelihood Training for Reasoning Diffusion Language Models](https://md.research.elamur.ai/free/en/papers/shankar-2026-pseudo-likelihood-training-reasoning-diffusion/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Shiv Shankar*2026*

**[PseudoSeer: a Search Engine for Pseudocode](https://md.research.elamur.ai/free/en/papers/toksoz-2026-pseudoseer-search-engine-pseudocode/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Levent Toksoz, Mukund Srinath, Gang Tan, et al.*2026*

**[PSK@EEUCA 2026: Fine-tuning Large Language Models with Synthetic Data Augmentation for Multi-class Toxicity Detection in Gaming Chat](https://md.research.elamur.ai/free/en/papers/pulipaka-2026-psk-eeuca-2026-fine-tuning/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Srikar Kashyap Pulipaka*2026*

**[Psycholinguistic Profiles of Cognitive Distortions in Reddit Data](https://md.research.elamur.ai/free/en/papers/sharma-2026-psycholinguistic-profiles-cognitive-distortions-reddit/) [Workshop on Computational Linguistics and Clinical Psychology](https://md.research.elamur.ai/free/en/venues/clpsych/)**Neha Sharma, Navneet Agarwal, Kairit Sirts*2026*

**[PsyProbe: Proactive and Interpretable Dialogue through User State Modeling for Exploratory Counseling](https://md.research.elamur.ai/free/en/papers/park-2026-psyprobe-proactive-interpretable-dialogue-through/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sohhyung Park, Hyunji Kang, Sungzoon Cho, et al.*2026*

**[Pub-LawBench: Public-Oriented Benchmarking for LegalAI](https://md.research.elamur.ai/free/en/papers/zheng-2026-pub-lawbench-public-oriented-benchmarking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qiaoyu Zheng, Zehan Ma, Yijing Zhang, et al.*2026*

**[PubMed Reasoner: Dynamic Reasoning-based Retrieval for Evidence-Grounded Biomedical Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2026-pubmed-reasoner-dynamic-reasoning-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiqing Zhang, Xiaozhong Liu, Fabricio Murai*2026*

**[PUCP-Metrix: An Open-source and Comprehensive Toolkit for Linguistic Analysis of Spanish Texts](https://md.research.elamur.ai/free/en/papers/luis-2026-pucp-metrix-open-source-comprehensive/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Javier Alonso Villegas Luis, Marco Antonio Sobrevilla Cabezudo*2026*

**[PUMA: Projected Universal Multilingual ASR for Low-Resource Settings. Application to Diverse African Languages](https://md.research.elamur.ai/free/en/papers/oukid-2026-puma-projected-universal-multilingual-asr/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ilyes Oukid, Bilal Faye, Hanane Azzag, et al.*2026*

**[PUPPET: Neural-Symbolic Standardized Patients for Mental Health](https://md.research.elamur.ai/free/en/papers/xu-2026-puppet-neural-symbolic-standardized-patients/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chen Xu, Yu Ji, Zhenyu Lyu, et al.*2026*

**[PURE: Post-hoc Unlocking and REfinement for Discrete Diffusion Decoding](https://md.research.elamur.ai/free/en/papers/park-2026-pure-post-hoc-unlocking-refinement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yangryeol Park, Kunhui Lee, Hanback Choi, et al.*2026*

**[Push and Pull: Training Sentence Encoders with Contrastive Losses for Distance-Based Multi-Label Text Classification](https://md.research.elamur.ai/free/en/papers/nooten-2026-push-pull-training-sentence-encoders/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jens Van Nooten, Andriy Kosar*2026*

**[Pushing the Frontiers of Scientific Fact-Checking: The SCINLP Dataset](https://md.research.elamur.ai/free/en/papers/maab-2026-pushing-frontiers-scientific-fact-checking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Iffat Maab, Junichi Yamagishi*2026*

**[Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2026-putting-captions-test-evaluating-video/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zizhen Wang, Bo Feng, Zhengfeng Lai, et al.*2026*

**[PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data](https://md.research.elamur.ai/free/en/papers/xiong-2026-puzzleclone-dsl-powered-framework-synthesizing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kai Xiong, Yanwei Huang, Rongjunchen Zhang, et al.*2026*

**[PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models](https://md.research.elamur.ai/free/en/papers/ouyang-2026-pyramathbench-evaluating-improving-mathematical-capability/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zetian Ouyang, Linlin Wang, Gerard de Melo, et al.*2026*

**[Q2EI: Query-to-Entity Inference for Semantic Condensation in Domain-Specific Retrieval](https://md.research.elamur.ai/free/en/papers/sun-2026-q2ei-query-entity-inference-semantic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yixuan Sun, Zhenqin Xu, HanFeng Zhai, et al.*2026*

**[QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/zhu-2026-qa-moe-continuous-reliability-spectrum/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yitong Zhu, Yuxuan Jiang, Guanxuan Jiang, et al.*2026*

**[QalamID at AbjadAuthorID Shared Task: Morphology Matters, A Hybrid Ensemble for Arabic Authorship Attribution](https://md.research.elamur.ai/free/en/papers/zaghloul-2026-qalamid-abjadauthorid-shared-task-morphology/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Youssef Zaghloul*2026*

**[QAMAR: A New Fully Verified and Accurate Quranic Arabic Morphological Analysis Resource.](https://md.research.elamur.ai/free/en/papers/faqihi-2026-qamar-new-fully-verified-accurate/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Sara Faqihi, Karim Bouzoubaa, Rachida Tajmout, et al.*2026*

**[Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essays](https://md.research.elamur.ai/free/en/papers/elbahnasawi-2026-qayyem-real-time-platform-scoring/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hoor Tamer Elbahnasawi, Marwan Sayed, Sohaila Eltanbouly, et al.*2026*

**[QFinZero: A Unified Financial Toolchain for LLM-Based Trading Agents](https://md.research.elamur.ai/free/en/papers/luo-2026-qfinzero-unified-financial-toolchain-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haochen Luo, Yifan LI, Ho Tin Ko, et al.*2026*

**[Quality and Agreement in Multilabel Emotion Annotation: A Case Study and Evaluation Framework](https://md.research.elamur.ai/free/en/papers/ohman-2026-quality-agreement-multilabel-emotion-annotation/) [Computational Affective Science (CAS) @ LREC](https://md.research.elamur.ai/free/en/venues/cas/)**Emily Sofi Ohman, Anna Koufakou*2026*

**[Quality and Appropriateness of Large Text Datasets for Irish NLP](https://md.research.elamur.ai/free/en/papers/walsh-2026-quality-appropriateness-large-text-datasets/) [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/)**Abigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.*2026*

**[Quality and Comprehensibility of Interlingual Subtitles Produced by Humans or with Machines](https://md.research.elamur.ai/free/en/papers/schluter-2026-quality-comprehensibility-interlingual-subtitles-produced/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Lara Shoana Schlüter, Ekaterina Lapshinova-Koltunski, Sylvia Jaki*2026*

**[Quality-Conditioned Agreement in Automated Short Answer Scoring: Mid-Range Degradation and the Impact of Task-Specific Adaptation](https://md.research.elamur.ai/free/en/papers/schleifer-2026-quality-conditioned-agreement-automated-short/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Abigail Gurin Schleifer, Moriah Ariely, Beata Beigman Klebanov, et al.*2026*

**[Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data](https://md.research.elamur.ai/free/en/papers/yang-2026-quantifying-improving-robustness-retrieval-augmented/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shiping Yang, Jie Wu, Wenbiao Ding, et al.*2026*

**[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*

**[Quantifying LLM Safety Degradation Under Repeated Attacks Using Survival Analysis](https://md.research.elamur.ai/free/en/papers/topol-2026-quantifying-llm-safety-degradation-under/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Zvi Topol*2026*

**[Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/asgari-2026-quantifying-metric-model-agreement-bias/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Arash Asgari, Huan Wu, Amirreza Naziri, et al.*2026*

**[Quantifying Retrieval Quality in GraphRAG: A Schema-Agnostic Approach](https://md.research.elamur.ai/free/en/papers/vanmechelen-2026-quantifying-retrieval-quality-graphrag-schema/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Thibaud Vanmechelen, Alexandre Achten, Zaineb Gabsi, et al.*2026*

**[Quantifying Social Sentiment in Hostels Using A Domain-Specific Transformer Pipeline](https://md.research.elamur.ai/free/en/papers/mcmurry-2026-quantifying-social-sentiment-hostels-domain/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Ian W. McMurry*2026*

- [Quantifying Speaker Embedding Phonological Rule Interactions in Accented Speech Synthesis arXiv:2601.14417](https://md.research.elamur.ai/free/en/papers/lertpetchpun-2026-quantifying-speaker-embedding-phonological-rule/) — Thanathai Lertpetchpun, Yoonjeong Lee, Thanapat Trachu, et al. · 2026

**[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*

**[Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM Search](https://md.research.elamur.ai/free/en/papers/mccleary-2026-quantifying-accuracy-cost-impact-design/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kyle A. McCleary, James M. Ghawaly*2026*

**[Quantifying the cross-linguistic effects of syncretism on agreement attraction](https://md.research.elamur.ai/free/en/papers/turk-2026-quantifying-cross-linguistic-effects-syncretism/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Utku Turk, Eva Neu*2026*

**[Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation](https://md.research.elamur.ai/free/en/papers/thellmann-2026-quantifying-impact-translation-errors-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Klaudia Thellmann, Bernhard Stadler, Michael Färber, et al.*2026*

**[QuantileMark: A Message-Symmetric Multi-bit Watermark for LLMs](https://md.research.elamur.ai/free/en/papers/zhu-2026-quantilemark-message-symmetric-multi-bit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junlin Zhu, Baizhou Huang, Xiaojun Wan*2026*

- [Quantitative Measurement of Language Distance among Closely Related Indo-European Languages Using Pretrained Language Models: A Case Study on the North Germanic Branch arXiv:2609.34152](https://md.research.elamur.ai/free/en/papers/bai-2026-quantitative-measurement-language-distance-among/) — Yiping Bai · 2026

**[Quantizing Whisper: How Design Choices Affect ASR Performance](https://md.research.elamur.ai/free/en/papers/sohler-2026-quantizing-whisper-how-design-choices/) [Speech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LREC](https://md.research.elamur.ai/free/en/venues/speakable/)**Arthur Söhler, Julian Irigoyen, Andreas Søeborg Kirkedal*2026*

- [Quantum Compositional NLP for Arabic: Grammar, Morphology, and Word Sense in Circuit Topology arXiv:2607.14100](https://md.research.elamur.ai/free/en/papers/mohammed-2026-quantum-compositional-nlp-arabic-grammar/) — Wajahath Mohammed · 2026

**[QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/qu-2026-quantumqa-enhancing-scientific-reasoning-physics/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Songxin Qu, Tai-Ping Sun, Yun-Jie Wang, et al.*2026*

**[QUARTZ: Quantile-Aware Routing and Queueing for TTFT SLOs in LLM Serving](https://md.research.elamur.ai/free/en/papers/liu-2026-quartz-quantile-aware-routing-queueing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhipeng Liu, Yifan Zheng, Fanqi Kong, et al.*2026*

**[Que ao mestre vai matá-lo? The evolution of prepositional accusatives in Portuguese across time](https://md.research.elamur.ai/free/en/papers/vaz-2026-que-ao-mestre-vai-mata/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Helena Rodrigues Menezes de Oliveira Vaz*2026*

**[QueerGen: How LLMs Reflect Societal Norms on Gender and Sexuality in Sentence Completion Task](https://md.research.elamur.ai/free/en/papers/sosto-2026-queergen-how-llms-reflect-societal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mae Sosto, Delfina S. Martinez Pandiani, Laura Hollink*2026*

**[Query-Aware Graph Attention for Precise Subgraph Retrieval in Knowledge-Augmented Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-query-aware-graph-attention-precise/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuanye Xu, Linyi Guo, Yue Zhang, et al.*2026*

**[Query-Aware Knowledge Retrieval via Hyperbolic Structuring](https://md.research.elamur.ai/free/en/papers/zhou-2026-query-aware-knowledge-retrieval-hyperbolic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuang Zhou, Junnan Dong, Yilin Xiao, et al.*2026*

**[Query-Focused Individual Simulation with Progressive Persona Completion](https://md.research.elamur.ai/free/en/papers/su-2026-query-focused-individual-simulation-progressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weiwen SU, Naoki Yoshinaga, Masashi Toyoda*2026*

**[Question and Response Dynamics in Public Service Encounters](https://md.research.elamur.ai/free/en/papers/siskou-2026-question-response-dynamics-public-service/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Wassiliki Siskou, Ingrid Espinoza, Laurin Friedrich, et al.*2026*

**[Question Difficulty Estimation for Large Language Models via Answer Plausibility Scoring](https://md.research.elamur.ai/free/en/papers/mozafari-2026-question-difficulty-estimation-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jamshid Mozafari, Bhawna Piryani, Adam Jatowt*2026*

**[Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression](https://md.research.elamur.ai/free/en/papers/zhao-2026-question-tells-you-where-answer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang Zhao, Xiaocheng Feng, Weihong Zhong, et al.*2026*

**[Questionnaire Meets LLM: A Benchmark and Empirical Study of Structural Skills for Understanding Questions and Responses](https://md.research.elamur.ai/free/en/papers/nguyen-2026-questionnaire-meets-llm-benchmark-empirical/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Duc-Hai Nguyen, Vijayakumar Nanjappan, Barry O'Sullivan, et al.*2026*

**[QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-queueedit-structural-self-correction-sequential/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Taolin Zhang, Haidong Kang, Dongyang Li, et al.*2026*

- [Qur'anic Readings and Modern Arabic Dialects: A Descriptive-Comparative Linguistic Study QiST 5](https://md.research.elamur.ai/free/en/papers/sabahi-2026-qur-anic-readings-modern-arabic/) — Rushdi Al Sabahi, Mariam Elbanna, Ainur Rhain · 2026
- [QuranicMMLU: A Cognitively-Aware Benchmark for Evaluating Generative AI Solutions on Quranic Linguistic Knowledge arXiv:2609.22038 · Arabic NLP 2026](https://md.research.elamur.ai/free/en/papers/ghali-2026-quranicmmlu-cognitively-aware-benchmark-evaluating/) — Rawan El Ghali; Umm Kulsoom; Anas Madkoor; Dima Faris Alsaudi; Roaa Abdelmagid; Roaa Ibrahim; Raghad Mousa; Hamza Aljaji; Abdullah Khanafer; Abdallah Alkanani; Salah Feras Alali; Rawan Khaled Mohamed;, Ehsaneddin Asgari · 2026

**[QurSci-Onto: A Hierarchical Ontology and Dataset for Scientific Exegesis in the Quran](https://md.research.elamur.ai/free/en/papers/rashid-2026-qursci-onto-hierarchical-ontology-dataset/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Ibad-ur-Rehman Rashid, Junaid Hussain, Sadam Al-Azani*2026*

- [Qwen-AgentWorld: Language World Models for General Agents arXiv:2606.24597](https://md.research.elamur.ai/free/en/papers/zuo-2026-qwen-agentworld-language-world/) — Yuxin Zuo, Zikai Xiao, Li Sheng, et al. · 2026
- [Qwen3.8-Omni: Towards Native Omni-Modal Agents arXiv:2609.25611](https://md.research.elamur.ai/free/en/papers/qwen-team-2026-qwen3-8-omni-native/) — Qwen Team · 2026

**[R ESEARCH QA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubrics](https://md.research.elamur.ai/free/en/papers/yifei-2026-r-esearch-qa-evaluating-scholarly/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Li S. Yifei, Allen Chang, Chaitanya Malaviya, et al.*2026*

**[R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language Models](https://md.research.elamur.ai/free/en/papers/schelb-2026-r-u-psycho-framework-robust/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julian Schelb, Orr Borin, David Garcia, et al.*2026*

**[R\textthreesuperiorA: Reinforced Reasoning for Relevance Assessment for RAG in User-Generated Content Platforms](https://md.research.elamur.ai/free/en/papers/yuan-2026-r-textthreesuperiora-reinforced-reasoning-relevance/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaowei Yuan, Lei Jin, Haoxin Zhang, et al.*2026*

**[R^3AG: Retriever Routing for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhao-2026-r-textasciicircum3ag-retriever-routing-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tong Zhao, Yutao Zhu, Yucheng Tian, et al.*2026*

**[RABIT: Rationale-Based Distillation Towards Interpretable Automatic Speaking Assessment via a Small Language Model](https://md.research.elamur.ai/free/en/papers/yan-2026-rabit-rationale-based-distillation-interpretable/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Bi-Cheng Yan, Hong-Yun Lin, Fu-An Chao, et al.*2026*

**[RACC: Regret-Aware Confidence Calibration for Consistent Masked Discrete Diffusion Decoding](https://md.research.elamur.ai/free/en/papers/zeng-2026-racc-regret-aware-confidence-calibration/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qinglin Zeng, Jusheng Zhang, Jing Yang, et al.*2026*

**[RacismoBR: A Manually Annotated Dataset for Racist Discourse Detection in Brazilian Portuguese](https://md.research.elamur.ai/free/en/papers/vaz-2026-racismobr-manually-annotated-dataset-racist/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**João Vítor Vaz, Fabrício Benevenuto, Marcos André Gonçalves*2026*

**[RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data Analysis](https://md.research.elamur.ai/free/en/papers/rani-2026-radar-reasoning-guided-attribution-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Anku Rani, Aparna Garimella, Apoorv Saxena, et al.*2026*

**[RADO: Reasoning Audit-Driven Optimization for Rigorous Reasoning in High-Stakes Domains](https://md.research.elamur.ai/free/en/papers/tan-2026-rado-reasoning-audit-driven-optimization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhijie Tan, Xu Chu, Guanyu Wang, et al.*2026*

**[RadTimeline: Timeline Summarization for Longitudinal Radiological Lung Findings](https://md.research.elamur.ai/free/en/papers/zhou-2026-radtimeline-timeline-summarization-longitudinal-radiological/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sitong Zhou, Meliha Yetisgen, Mari Ostendorf*2026*

**[RAG as a collapsed NLG pipeline](https://md.research.elamur.ai/free/en/papers/sivaprasad-2026-rag-as-collapsed-nlg-pipeline/) [Symposium on Natural Language Generation Evaluations](https://md.research.elamur.ai/free/en/venues/retroeval/)**Adarsa Sivaprasad, Barkavi Sundararajan, David M. Howcroft*2026*

**[RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation](https://md.research.elamur.ai/free/en/papers/xu-2026-rag-wild-effectiveness-llms-mixture/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ran Xu, Yuchen Zhuang, Yue Yu, et al.*2026*

**[RAG or Learning? Understanding the Limits of LLM Adaptation under Continuous Knowledge Drift in the Real World](https://md.research.elamur.ai/free/en/papers/liu-2026-rag-or-learning-understanding-limits/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanbing Liu, Lang Cao, Yang Li*2026*

**[RAMP: Risk-Aware Multi-Turn Planning for Jailbreak Red-Teaming](https://md.research.elamur.ai/free/en/papers/liu-2026-ramp-risk-aware-multi-turn/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yize Liu, Yunyun Hou, Aina Sui*2026*

**[Ranking Human and LLM Texts Using Locality Statistics](https://md.research.elamur.ai/free/en/papers/wang-2026-ranking-human-llm-texts-locality/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiyang Wang, Chen Ding, Hangfeng He*2026*

**[RanLoRA: Residual-aware Nonlinear Low-Rank Adaptation](https://md.research.elamur.ai/free/en/papers/luo-2026-ranlora-residual-aware-nonlinear-low/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xu Luo, Yongbin Liu, Chunping Ouyang, et al.*2026*

**[RAP-ID: Mechanistic Prompt Injection Detection via Impostor Behavior Analysis](https://md.research.elamur.ai/free/en/papers/yang-2026-rap-id-mechanistic-prompt-injection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuchen Yang, Lei Peng, Yujie He, et al.*2026*

**[Rating-based property axes: Agentivity and split intransitivity](https://md.research.elamur.ai/free/en/papers/neu-2026-rating-based-property-axes-agentivity/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Eva Neu, Brian Dillon, Katrin Erk*2026*

**[Rating–Text Mismatch in Brazilian Portuguese Reviews: How Reliable Are Zero-Shot LLMs?](https://md.research.elamur.ai/free/en/papers/marreira-2026-rating-text-mismatch-brazilian-portuguese/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Emanuelle Marreira, Carlos M. S. Figueiredo, Tiago de Melo*2026*

**[RATION: Entropy-Driven Task-Adaptive Visual Attention Allocation Framework for Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-ration-entropy-driven-task-adaptive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingle Xu, Fanheng Kong, Dexian Cai, et al.*2026*

- [Rational Communication Shapes Morphological Composition arXiv:2605.03510](https://md.research.elamur.ai/free/en/papers/yang-2026-rational-communication-shapes-morphological-composition/) — Fengyuan Yang, Yongqian Peng, Yuxi Ma, et al. · 2026

**[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*

**[Razreshili at ArchEHR-QA 2026: Evidence Alignment via LLM Prompting and Cross-Encoder Fine-tuning](https://md.research.elamur.ai/free/en/papers/zemchyk-2026-razreshili-archehr-qa-2026-evidence/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Arina Zemchyk*2026*

**[RBR: RAG-Based Open-Domain Question Answering Using a Ranking Approach to Document Retrieval](https://md.research.elamur.ai/free/en/papers/naravajhula-2026-rbr-rag-based-open-domain/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Priyatam Sai Naravajhula, Vincent Ng*2026*

**[RE-AD: Real-Time Requirement Adherence for Data Labeling](https://md.research.elamur.ai/free/en/papers/malreddy-2026-re-ad-real-time-requirement/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Siddarth Malreddy, Ishan Nigam, Akshay Arora, et al.*2026*

**[Re-evaluating the Word Token for Bilingual Speech Processing: The Case for Intonation Units](https://md.research.elamur.ai/free/en/papers/pattichis-2026-re-evaluating-word-token-bilingual/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Rebecca Pattichis, Dora LaCasse, Rena Torres Cacoullos*2026*

**[ReActR: Reasoning through Error-Activated Reflection for LLM Post-Training](https://md.research.elamur.ai/free/en/papers/sun-2026-reactr-reasoning-through-error-activated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lina Sun*2026*

**[Read As Human: Compressing Context via Parallelizable Close Reading and Skimming](https://md.research.elamur.ai/free/en/papers/tang-2026-read-as-human-compressing-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiwei Tang, Shilei Liu, Zhicheng Zhang, et al.*2026*

**[Reading Between the Lines: Toward Translating Verbose Patient-authored Messages into Clinician-Formulated Questions](https://md.research.elamur.ai/free/en/papers/soni-2026-reading-between-lines-translating-verbose/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Sarvesh Soni, Madeline Bittner, Dina Demner-Fushman*2026*

- [Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training arXiv:2608.30609](https://md.research.elamur.ai/free/en/papers/borggren-2026-reading-news-adapting-large-language/) — Lukas Borggren, Jenny Kunz, Marco Kuhlmann · 2026

**[Reading Time in the Wild: An Assessment of Readability Predictors Based on Naturally-Observed Reading Times](https://md.research.elamur.ai/free/en/papers/vaals-2026-reading-time-wild-assessment-readability/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sijbren van Vaals, Rik van Noord, Malvina Nissim*2026*

**[Reading: exploring the reading skill after the second schoolyear in Icelandic children](https://md.research.elamur.ai/free/en/papers/sigmundsson-2026-reading-exploring-reading-skill-after/) [Frontiers in Education](https://md.research.elamur.ai/free/en/venues/frontiers-in-education/)**Hermundur Sigmundsson, Helga Sigrun Thórsdóttir, Svava Hjaltalín*2026*

**[RealTalk-CN: A Realistic Chinese Speech Task-Oriented Dialogue Benchmark with Cross-Modal Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-realtalk-cn-realistic-chinese-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Enzhi Wang, Jiaming Zhou, Yuhang Jia, et al.*2026*

**[REAP: Towards Effective Training-Free Chemical Reasoning with Explicit Atomic Priors](https://md.research.elamur.ai/free/en/papers/zhang-2026-reap-effective-training-free-chemical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mingxu Zhang, Dazhong Shen, Qi Zhang, et al.*2026*

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