---
title: "Papers of 2026 — page 30 — 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/30/"
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# Papers of 2026 — page 30

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

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**[DIDECO: An Annotated Dataset for Intent Detection in Digital Communications](https://md.research.elamur.ai/free/en/papers/popovic-2026-dideco-annotated-dataset-intent-detection/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Senaid Popovic, Damien Riquet, Maxime Meyer, et al.*2026*

**[Diff4TST: Masked Diffusion Language Model for Text Style Transfer](https://md.research.elamur.ai/free/en/papers/ma-2026-diff4tst-masked-diffusion-language-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinchen Ma, Gaole He, Yunshi Lan, et al.*2026*

**[DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding](https://md.research.elamur.ai/free/en/papers/zhou-2026-diffa-2-practical-diffusion-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaming Zhou, Xuxin Cheng, Shiwan Zhao, et al.*2026*

**[Difference in Task Performance on Sparse Speech Representations](https://md.research.elamur.ai/free/en/papers/peng-2026-difference-task-performance-sparse-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenjie Peng, Chen Chen, Thomas Hain*2026*

**[Differentially Private De-identification of Dutch Clinical Notes: A Comparative Evaluation](https://md.research.elamur.ai/free/en/papers/miranda-2026-differentially-private-de-identification-dutch/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Michele Miranda, Xinlan Yan, Nishant Mishra, et al.*2026*

**[Diffusion with Truncated Blocks: Fast and High-Quality Text Generation using Truncated Block Generation](https://md.research.elamur.ai/free/en/papers/zhou-2026-diffusion-truncated-blocks-fast-high/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuyan Zhou, Weiyu Chen, James Kwok*2026*

**[Digital Preservation of Aromanian Through Knowledge Management and Automatic Speech Recognition Evaluation](https://md.research.elamur.ai/free/en/papers/pendevska-2026-digital-preservation-aromanian-through-knowledge/) [Workshop on Dialects in NLP –- A Resource Perspective](https://md.research.elamur.ai/free/en/venues/dialres/)**Marija Pendevska, Hristina Nastevska*2026*

**[DIMAS-OMOP: A Deliberative Intelligence-Based Multi-Agent System for Chinese Medical Text Standardization toward OMOP](https://md.research.elamur.ai/free/en/papers/lv-2026-dimas-omop-deliberative-intelligence-based/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Hanlin Lv, Xiao Wang, Kesong Wu, et al.*2026*

**[DiNO: Disinformation Narrative Observer](https://md.research.elamur.ai/free/en/papers/sosnowski-2026-dino-disinformation-narrative-observer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Witold Sosnowski, Arkadiusz Modzelewski, Kinga Skorupska, et al.*2026*

**[DiPS: Dialogue Policy Selection for High-Stakes Persuasion Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-dips-dialogue-policy-selection-high/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Tianyi Zhang, Mousumi Das, Abrar Anwar, et al.*2026*

**[DIRECT: Directional Relevance in Conversational Trajectories](https://md.research.elamur.ai/free/en/papers/mourya-2026-direct-directional-relevance-conversational-trajectories/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Anshuman Mourya, Rajdeep Mukherjee, Prerna Jolly, et al.*2026*

**[Disagreement-Driven Joint Refinement of Retrieval and Decision Rules for Imbalanced Counseling Risk Classification](https://md.research.elamur.ai/free/en/papers/shao-2026-disagreement-driven-joint-refinement-retrieval/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Zhihao Shao, Ryo Sekizaki, Shengzhou Yi, et al.*2026*

**[DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs](https://md.research.elamur.ai/free/en/papers/zhang-2026-discal-distribution-aware-calibration-mathematical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bo Zhang, Jiawei Zhang, Cong Gao, et al.*2026*

**[Discourse Structure Variation for Large Language Model Evaluation in Text Simplification (大模型文本简化的篇章结构变化分析与评测)](https://md.research.elamur.ai/free/en/papers/zhu-2026-discourse-structure-variation/) [Journal of Chinese Information Processing](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/)**Junhui Zhu (朱君辉), Erhong Yang (杨尔弘), Haonan Zhu (朱浩楠), et al.*2026*

**[Disentangling Ambiguity from Instability in Large Language Models: A Clinical Text-to-SQL Case Study](https://md.research.elamur.ai/free/en/papers/ziletti-2026-disentangling-ambiguity-instability-large-language/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Angelo Ziletti, Leonardo D'Ambrosi*2026*

**[Disentangling Annotator Skill from Verifier Strictness in Cross-Verified Dialogue Annotation](https://md.research.elamur.ai/free/en/papers/tao-2026-disentangling-annotator-skill-verifier-strictness/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Zihao Tao, John A. Prado, Ignazio Steven LaManna, et al.*2026*

**[Disentangling Linguistic Relatedness from Task Alignment in Cross-Lingual Transfer](https://md.research.elamur.ai/free/en/papers/ahmed-2026-disentangling-linguistic-relatedness-task-alignment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ahmed Haj Ahmed, Ruochen Zhang, Alvin C Grissom II*2026*

**[Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts](https://md.research.elamur.ai/free/en/papers/zheng-2026-disentangling-reasoning-logic-resolve-explicit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xianda Zheng, Zijian Huang, Meng-Fen Chiang, et al.*2026*

**[Disentangling the Effects of Unlearning in Measuring Parametric Faithfulness of Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/mitsuhashi-2026-disentangling-effects-unlearning-measuring-parametric/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryo Mitsuhashi, Gaku Morio, Ayana Niwa, et al.*2026*

**[Disinformation between Knowledge and Ignorance. an Epistemological Comparison](https://md.research.elamur.ai/free/en/papers/lizzadri-2026-disinformation-between-knowledge-ignorance-epistemological/) [Workshop on Information Disorder (InDor) @ LREC](https://md.research.elamur.ai/free/en/venues/indor/)**Antonio Lizzadri*2026*

**[Dissecting GraphRAG: A Modular Analysis of Knowledge Structuring for Factoid Question Answering](https://md.research.elamur.ai/free/en/papers/nishida-2026-dissecting-graphrag-modular-analysis-knowledge/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Noriki Nishida, Rumana Ferdous Munne, Shanshan Liu, et al.*2026*

**[Distill and Align Decomposition for Enhanced Claim Verification](https://md.research.elamur.ai/free/en/papers/magomere-2026-distill-align-decomposition-enhanced-claim/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jabez Magomere, Elena Kochkina, Samuel Mensah, et al.*2026*

**[Distilling Examples into Task Instructions: Enhanced In-Context Learning for Real-World B2B Conversations](https://md.research.elamur.ai/free/en/papers/rotman-2026-distilling-examples-into-task-instructions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guy Rotman, Adi Kopilov, Danit Berger Zalmanson, et al.*2026*

**[Distilling Large Embeddings via Hyperspherical Householder Quantization](https://md.research.elamur.ai/free/en/papers/wang-2026-distilling-large-embeddings-hyperspherical-householder/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yihang Wang, Bin Wu, Yueyang Su, et al.*2026*

**[Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding](https://md.research.elamur.ai/free/en/papers/yun-2026-distilling-long-cot-reasoning-through/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Taewon Yun, Jisu Shin, Jeonghwan Choi, et al.*2026*

**[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*

**[Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language Models](https://md.research.elamur.ai/free/en/papers/sun-2026-distributional-clarity-hidden-driver-rl/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shaoning Sun, Mingzhu Cai, Huang He, et al.*2026*

**[Divergent Thinking: Escape the Homogeneity Trap in Generative Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/tao-2026-divergent-thinking-escape-homogeneity-trap/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiheng Tao, Kaiwen Cheng, Zhiwei Nie, et al.*2026*

**[Diversity and Homogenisation in Generative AI Translation: A Comparative Study of English-Dutch Translation Across Domains](https://md.research.elamur.ai/free/en/papers/shterionov-2026-diversity-homogenisation-generative-ai-translation/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Dimitar Shterionov, Noa van Helleman, Eva Vanmassenhove*2026*

**[DivMerge: A divergence-based model merging method for multi-tasking](https://md.research.elamur.ai/free/en/papers/touayouch-2026-divmerge-divergence-based-model-merging/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Brahim Touayouch, Loïc Fosse, Géraldine Damnati, et al.*2026*

**[DKME: Rethinking Coupled Knowledge Memory for Lifelong Model Editing of Large Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2026-dkme-rethinking-coupled-knowledge-memory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guanyu Zheng, Wang Zhenyu, He Tingting, et al.*2026*

**[DM Doppelgangers: Implicit Connectives as eRST Signals](https://md.research.elamur.ai/free/en/papers/ai-2026-dm-doppelgangers-implicit-connectives-as/) [Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/codi/)**Lin Ai, Amir Zeldes*2026*

**[DMN: A Compositional Framework for Jailbreaking Multimodal LLMs with Multi-Image Inputs](https://md.research.elamur.ai/free/en/papers/xu-2026-dmn-compositional-framework-jailbreaking-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenzhuo Xu, Zhipeng Wei, Zonghao Ying, et al.*2026*

**[DMSD: Dual-Modal Semantic Disentanglement for Compositional Zero-Shot Learning](https://md.research.elamur.ai/free/en/papers/yang-2026-dmsd-dual-modal-semantic-disentanglement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pan Yang, Jing Yang, Ruan Xiao li, et al.*2026*

**[DNT at #SMM4H–HeaRD 2026: Leveraging BERT-based Encoders and LLMs for Medical Information Extraction](https://md.research.elamur.ai/free/en/papers/tien-2026-dnt-smm4h-heard-2026-leveraging/) [Social Media Mining for Health Research and Applications Workshop and Shared Tasks](https://md.research.elamur.ai/free/en/venues/smm4h/)**Doan Nhat Tien, Thìn Đặng Văn*2026*

**[Do Emotions Influence Moral Judgment in Large Language Models?](https://md.research.elamur.ai/free/en/papers/saim-2026-do-emotions-influence-moral-judgment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mohammad Saim, Tianyu Jiang*2026*

**[Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?](https://md.research.elamur.ai/free/en/papers/modica-2026-do-factual-recall-mechanisms-carry/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Luca Modica, Filip Landin, Mehrdad Farahani, et al.*2026*

**[Do I know what I want to say? Modeling meaning uncertainty in RSA](https://md.research.elamur.ai/free/en/papers/wang-2026-do-i-know-what-i/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Anzi Wang, Carolyn Jane Anderson, Grusha Prasad*2026*

**[Do Language Models Think Consistently? A Study of Value Preferences Across Varying Response Lengths](https://md.research.elamur.ai/free/en/papers/nair-2026-do-language-models-think-consistently/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Inderjeet Jayakumar Nair, Lu Wang*2026*

**[Do Large Language Models Understand Double Mismatches? Evidence from Farsi](https://md.research.elamur.ai/free/en/papers/mohammadi-2026-do-large-language-models-understand/) [Proceedings of the Workshop on NLP and LLMs for the Iranian Language Family](https://md.research.elamur.ai/free/en/venues/silkroadnlp/)**Maryam Mohammadi*2026*

**[Do Lexical and Contextual Coreference Resolution Systems Degrade Differently under Mention Noise? An Empirical Study on Scientific Software Mentions](https://md.research.elamur.ai/free/en/papers/alkan-2026-do-lexical-contextual-coreference-resolution/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Atilla Kaan Alkan, Felix Grezes, Jennifer Lynn Bartlett, et al.*2026*

**[Do LLMs Capture Embodied Cognition and Cultural Variation? Cross-Linguistic Evidence from Demonstratives](https://md.research.elamur.ai/free/en/papers/wang-2026-do-llms-capture-embodied-cognition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Wang, Emmanuele Chersoni, Chu-Ren Huang*2026*

**[Do LLMs Transfer Political Framing across Languages? A Cross-Lingual Analysis of LLM-Generated Discourse](https://md.research.elamur.ai/free/en/papers/awwad-2026-do-llms-transfer-political-framing/) [Workshop on Natural Language Processing for Political Sciences](https://md.research.elamur.ai/free/en/venues/politicalnlp/)**Nooredeen Awwad, Ebtihal Ismail Enfes, Kolawole John Adebayo*2026*

**[Do LLMs Use Relational Structure in KG-Grounded Dialogue? Evidence from Entity and Relation Perturbation](https://md.research.elamur.ai/free/en/papers/okonkwo-2026-do-llms-use-relational-structure/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Dominic Okonkwo, Ismailcem Budak Arpinar*2026*

**[Do Multi-Agents Solve Better Than Single? Evaluating Agentic Frameworks for Diagram-Grounded Geometry Problem Solving and Reasoning](https://md.research.elamur.ai/free/en/papers/sobhani-2026-do-multi-agents-solve-better/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Mahbub E Sobhani, Md. Faiyaz Abdullah Sayeedi, Mohammad Nehad Alam, et al.*2026*

**[Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.*2026*

**[Do NOT Classify and Count: Hybrid Attribute Control Success Evaluation](https://md.research.elamur.ai/free/en/papers/saaro-2026-do-not-classify-count-hybrid/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Felix Matthias Saaro, Pius von Däniken, Mark Cieliebak, et al.*2026*

**[Do Syntactic Features Help Biomedical Relation Extraction? An Empirical Study of Verb Token and Dependency Graph Augmentation](https://md.research.elamur.ai/free/en/papers/sikder-2026-do-syntactic-features-help-biomedical/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Mustafa Sikder, Ernest Kwegyir-Afful*2026*

**[Do Thoughts Depth Affect Multilingual Reasoning?](https://md.research.elamur.ai/free/en/papers/yang-2026-do-thoughts-depth-affect-multilingual/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Linjian Yang, Xinyan Wang, Kunpeng Liu*2026*

**[Do Transformers Grok Succinct Algorithms? Mechanistic Evidence for Counting Circuits](https://md.research.elamur.ai/free/en/papers/zhao-2026-do-transformers-grok-succinct-algorithms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yizheng Zhao*2026*

**[Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/wang-2026-do-we-always-need-query/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zixu Wang, Bingbing Xu, Yige Yuan, et al.*2026*

**[Doaa Sulaiman at AR-MS NakbaNLP 2026: Faithful Diplomatic Transcription of Arabic Manuscripts Using a Human-Centred Annotation Framework](https://md.research.elamur.ai/free/en/papers/sulaiman-2026-doaa-sulaiman-ar-ms-nakbanlp/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Doaa Bahjat Sulaiman*2026*

**[Doc-V*: Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA](https://md.research.elamur.ai/free/en/papers/zheng-2026-doc-v-coarse-fine-interactive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanlei Zheng, Pei Fu, Hang Li, et al.*2026*

**[DocPolarBERT: A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures](https://md.research.elamur.ai/free/en/papers/uthayasooriyar-2026-docpolarbert-pre-trained-model-document/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Benno Uthayasooriyar, Antoine Ly, Franck Vermet, et al.*2026*

**[DocUA at CRF Filling 2026: LLM StructCore –- Schema-Guided Reasoning Condensation and Deterministic Compilation](https://md.research.elamur.ai/free/en/papers/zabolotnii-2026-docua-crf-filling-2026-llm/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Serhii Zabolotnii*2026*

**[Document Overlap Is Not Evidence Continuity: Measuring Retrieval Jitter in Citation-Based RAG Evaluation](https://md.research.elamur.ai/free/en/papers/ponnuraj-2026-document-overlap-is-not-evidence/) [Workshop on Evaluating Evaluations (EvalEval)](https://md.research.elamur.ai/free/en/venues/evaleval/)**Punitha Ponnuraj*2026*

**[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*

**[Documenting Corporate Harm: A Semantic Action Trajectories Approach to the Opioid Industry Document Archive Shared Task](https://md.research.elamur.ai/free/en/papers/miller-2026-documenting-corporate-harm-semantic-action/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Ben Miller*2026*

**[Documenting Rural Gatherings in Aging Japan: Social Context and Language Use in Interaction at a Mobile Supermarket](https://md.research.elamur.ai/free/en/papers/sakai-2026-documenting-rural-gatherings-aging-japan/) [Workshop on Social Context (SoCon) and the Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) @ LREC](https://md.research.elamur.ai/free/en/venues/socon/)**Haruka Sakai, Rui Sakaida*2026*

**[Does Chain-of-Thought Reasoning Help Mobile GUI Agents? An Empirical Study](https://md.research.elamur.ai/free/en/papers/zhang-2026-does-chain-thought-reasoning-help/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Li Zhang, Longxi Gao, Mengwei Xu*2026*

- [Does Continued Pretraining on a Learner Corpus Improve Automated Essay Scoring on English Proficiency Tests? Evidence from EFCAMDAT arXiv:2605.25924](https://md.research.elamur.ai/free/en/papers/nguyen-2026-continued-pretraining-learner-corpus-improve/) — Duy Anh Nguyen · 2026
- [Does generative AI supersede supervised XMLC? A Benchmark Study on Automated Subject Indexing with German Scientific Literature arXiv:2607.14882](https://md.research.elamur.ai/free/en/papers/kahler-2026-generative-ai-supersede-supervised-xmlc/) — Maximilian Kahler, Katja Konermann, Lisa Kluge, et al. · 2026

**[Does Hate Transfer? Cross-Lingual Generalisation of Offensive Content Detection Across Indic Languages](https://md.research.elamur.ai/free/en/papers/reddy-2026-does-hate-transfer-cross-lingual/) [International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security](https://md.research.elamur.ai/free/en/venues/nlpaics/)**Purandhar M. Reddy, Sara Renjit*2026*

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**[Don't Tell the Answer, Truly Guide the Reasoning During RL Rollouts](https://md.research.elamur.ai/free/en/papers/wang-2026-don-t-tell-answer-truly/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinyi Wang, Jinyi Han, Zishang Jiang, et al.*2026*

**[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*

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**[DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf Models](https://md.research.elamur.ai/free/en/papers/wu-2026-dose-data-selection-multi-modal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Biao Wu, Yiwu Zhong, Meng Fang, et al.*2026*

**[Double-Edged Sword or Sharp Tool? Designing and Evaluating Triadic LLM-Teacher Collaboration for K-12 Writing at Scale](https://md.research.elamur.ai/free/en/papers/wang-2026-double-edged-sword-or-sharp/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Canran Wang, Yuwen Yang, Zhen Wang, et al.*2026*

**[DPEPO: Diverse Parallel Exploration Policy Optimization for LLM-based Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-dpepo-diverse-parallel-exploration-policy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**JunShuo Zhang, Chengrui Huang, Feng Guo, et al.*2026*

**[DPLoRA: A Dual-Pruning Framework based on ILP Optimization and Progressive Pruning for Parameter-Efficient LoRA Fine-Tuning](https://md.research.elamur.ai/free/en/papers/park-2026-dplora-dual-pruning-framework-based/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Changjun Park, Sejong Yoon, Jaekwang Kim*2026*

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**[DP³: Differentially Private Prompt Perturbation for Multi-turn LLM Inference](https://md.research.elamur.ai/free/en/papers/zheng-2026-dp-3-differentially-private-prompt/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lele Zheng, Chao Zhang, Feiyang Yuan, et al.*2026*

**[Draft, Verify, Restore: Self-Refining Historical Inscription Restoration with a Unified MLLM](https://md.research.elamur.ai/free/en/papers/zhang-2026-draft-verify-restore-self-refining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuyi Zhang, Junle Liu, Peirong Zhang, et al.*2026*

**[DREAM: A Multicultural Multimodal Dataset Linking Dialogues and Realistic Image Sequences](https://md.research.elamur.ai/free/en/papers/mallo-2026-dream-multicultural-multimodal-dataset-linking/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Juan Mallo, Marcos Estecha-Garitagoitia, Ricardo Cordoba, et al.*2026*

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**[Dual-Axis Compositional Contrastive Few-Shot Learning using Prototypes Across Linguistic and Semantic Dimensions for Indic Low-Resource Multilingual NLU](https://md.research.elamur.ai/free/en/papers/mitra-2026-dual-axis-compositional-contrastive-few/) [Workshop on Language Technology for Equality, Diversity, Inclusion](https://md.research.elamur.ai/free/en/venues/ltedi/)**Kathakali Mitra, Sakshi Singh, Sree Nithish Reddy Gunapati, et al.*2026*

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**[DualAxis AI at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/missaoui-2026-dualaxis-ai-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yahya Missaoui, Solomon Kebede, Mounika Marreddy, et al.*2026*

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**[DuIVRS-2: An LLM-based Interactive Voice Response System for Large-scale POI Attribute Acquisition](https://md.research.elamur.ai/free/en/papers/zhang-2026-duivrs-2-llm-based-interactive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Le Zhang, Shengming Zhang, Rui Zha, et al.*2026*

**[Duluth at SemEval-2026 Task 6: DeBERTa with LLM-Augmented Data for Unmasking Political Question Evasions](https://md.research.elamur.ai/free/en/papers/syed-2026-duluth-semeval-2026-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Shujauddin Syed, Ted Pedersen*2026*

**[Dunhuang-Bench: How Well Do MLLMs Understand Cultural Heritage?](https://md.research.elamur.ai/free/en/papers/yuan-2026-dunhuang-bench-how-well-do/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junyi Yuan, Jian Zhang, Tianxiu Yu, et al.*2026*

**[DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping](https://md.research.elamur.ai/free/en/papers/zhu-2026-dvmap-fine-grained-pluralistic-value/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengyun Zhu, Yuqi Ren, Zhen Wang, et al.*2026*

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**[Dynamic Emotion and Personality Profiling for Multimodal Deception Detection](https://md.research.elamur.ai/free/en/papers/zheng-2026-dynamic-emotion-personality-profiling-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Li Zheng, Yanyi Luo, Hao Fei, et al.*2026*

**[Dynamic Graph Navigation via Triplet Chains for Structure-Aware Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhao-2026-dynamic-graph-navigation-triplet-chains/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Feng Zhao, Yufei Wu, Xianggan Liu, et al.*2026*

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