--- title: "Papers of 2026 — page 51 — 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/51/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2026/page/51/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2026 # Papers of 2026 — page 51 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/50/) [1](https://md.research.elamur.ai/free/en/papers/2026/) … [50](https://md.research.elamur.ai/free/en/papers/2026/page/50/) **51** [52](https://md.research.elamur.ai/free/en/papers/2026/page/52/) … [57](https://md.research.elamur.ai/free/en/papers/2026/page/57/) [next →](https://md.research.elamur.ai/free/en/papers/2026/page/52/) **[Structured Confidence–Guided Online Adaptation for LLM-based Multi-Label Classification](https://md.research.elamur.ai/free/en/papers/xu-2026-structured-confidence-guided-online-adaptation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pengyu Xu, JingRen Hou, Liping Jing, et al.*2026* **[Structured Dialogue Refinement: Building Retrieval-Augmented Question Answering on Goal-Oriented Dialogues](https://md.research.elamur.ai/free/en/papers/wu-2026-structured-dialogue-refinement-building-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bin Wu, Sawan Kumar, Prasetya Ajie Utama, et al.*2026* **[Structured Episodic Event Memory](https://md.research.elamur.ai/free/en/papers/lu-2026-structured-episodic-event-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengxuan Lu, Dongfang Li, Yukun Shi, et al.*2026* **[Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej](https://md.research.elamur.ai/free/en/papers/nigam-2026-structured-legal-document-generation-india/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Shubham Kumar Nigam, Deepak Patnaik Balaramamahanthi, Noel Shallum, et al.*2026* **[Structured Prompting for Arabic Essay Proficiency: A Trait-Centric Evaluation Approach](https://md.research.elamur.ai/free/en/papers/mandhari-2026-structured-prompting-arabic-essay-proficiency/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Salim Al Mandhari, Hieu Pham Dinh, Mo El-Haj, et al.*2026* **[Structured Radiology Intelligence: Extracting Structured Data from MRI Reports Using LLMs](https://md.research.elamur.ai/free/en/papers/marimuthu-2026-structured-radiology-intelligence-extracting-structured/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Sushvin Marimuthu, Parameswari Krishnamurthy, Dipti Misra Sharma, et al.*2026* **[STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across Domains](https://md.research.elamur.ai/free/en/papers/steinigen-2026-strudel-unrolling-benchmark-evaluating-vision/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Daniel Steinigen, Lucie Flek, Sebastian Houben*2026* **[Student Guides Teacher: Weak-to-Strong Inference via Spectral Orthogonal Exploration](https://md.research.elamur.ai/free/en/papers/wang-2026-student-guides-teacher-weak-strong/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dayu Wang, Jiaye Yang, Weikang Li, et al.*2026* **[Students’ awareness of the importance of using proper English grammar in the job market: a critical examination of perceptions and practices](https://md.research.elamur.ai/free/en/papers/allehyani-2026-students-awareness-importance-using-proper/) [Frontiers in Education](https://md.research.elamur.ai/free/en/venues/frontiers-in-education/)**Badr Allehyani*2026* **[Studying Expert-ese: Profiling and Classification of Domain-Specific Language Variation in Architecture with Traditional Machine Learning and LLMs](https://md.research.elamur.ai/free/en/papers/schacht-2026-studying-expert-ese-profiling-classification/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Carmen Schacht, Renate Delucchi Danhier*2026* - [Stylistic Evolution and LLM Neutrality in Singlish Language arXiv:2601.06580](https://md.research.elamur.ai/free/en/papers/foo-2026-stylistic-evolution-llm-neutrality-singlish/) — Linus Tze En Foo, Weihan Angela Ng, Wenkai Li, et al. · 2026 **[Stylistic Transfer from Annotator Communities to Large Language Models](https://md.research.elamur.ai/free/en/papers/chooi-2026-stylistic-transfer-annotator-communities-large/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Jay Chooi*2026* **[Stylometric Approach to AI-generated Texts. An Analysis of Contemporary French-Language Literature](https://md.research.elamur.ai/free/en/papers/pawlowski-2026-stylometric-approach-ai-generated-texts/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Adam Pawłowski, Tomasz Walkowiak*2026* **[Subgraph-Guided Executable Logical Form Generation for Knowledge Base Question Answering](https://md.research.elamur.ai/free/en/papers/tian-2026-subgraph-guided-executable-logical-form/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuhang Tian, Dandan Song, Zhijing Wu, et al.*2026* - [Subgroups of U(d) Induce Natural RNN and Transformer Architectures arXiv:2602.18417](https://md.research.elamur.ai/free/en/papers/nunley-2026-subgroups-u-d-induce-natural/) — Joshua Nunley · 2026 - [Subject to change: Agreement and case](https://md.research.elamur.ai/free/en/papers/rimon-2026-subject-change-agreement-case/) — Nofar Rimon, Tal Siloni · Modern Hebrew **[Subject-level Inference for Realistic Text Anonymization Evaluation](https://md.research.elamur.ai/free/en/papers/oh-2026-subject-level-inference-realistic-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Myeong Seok Oh, Dong-Yun Kim, Hanseok Oh, et al.*2026* - [Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6% WER (13.8% cWER) arXiv:2606.07608](https://md.research.elamur.ai/free/en/papers/akeret-2026-subtitle-aligned-fine-tuning-whisper/) — Felix Akeret · 2026 **[Success and Cost Elicit Convention Formation for Efficient Communication](https://md.research.elamur.ai/free/en/papers/vaduguru-2026-success-cost-elicit-convention-formation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Saujas Vaduguru, Yilun Hua, Yoav Artzi, et al.*2026* **[Sujith Kanakkassery at AbjadMed: Imbalance-Aware Transformer Fine-tuning for Arabic Medical Text Classification](https://md.research.elamur.ai/free/en/papers/kanakkassery-2026-sujith-kanakkassery-abjadmed-imbalance-aware/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Sujith Kanakkassery*2026* **[Supachoke at AbjadMed: Enhancing Arabic Medical Text Classification Using Fine-Tuned AraBERT](https://md.research.elamur.ai/free/en/papers/nguyen-2026-supachoke-abjadmed-enhancing-arabic-medical/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Thanh Phu Nguyen, Tuan Thai Huy Nguyen Cu, Son Thai Pham, et al.*2026* **[Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/so-2026-superficial-success-vs-internal-breakdown/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Namyeong So, Seokgyu Jang, Taeuk Kim*2026* **[Supervised Contrastive Fine-Tuning for Active Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/zhang-2026-supervised-contrastive-fine-tuning-active/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Zirui Zhang, Lei Ge, Shengyu Qiao*2026* **[Supplementary Resources and Analysis for Automatic Speech Recognition Systems Trained on the Loquacious Dataset](https://md.research.elamur.ai/free/en/papers/rossenbach-2026-supplementary-resources-analysis-automatic-speech/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nick Rossenbach, Robin Schmitt, Tina Raissi, et al.*2026* **[Supporting human operators during customer service interactions with agentic-RAG](https://md.research.elamur.ai/free/en/papers/valenzuela-2026-supporting-human-operators-during-customer/) [International Workshop on Spoken Dialogue System Technology](https://md.research.elamur.ai/free/en/venues/iwsds/)**Juan Barrionuevo-Valenzuela, Daniel Calderón-González, Zoraida Callejas, et al.*2026* **[Suppressing Final Layer Hidden State Jumps in Transformer Pretraining](https://md.research.elamur.ai/free/en/papers/shibata-2026-suppressing-final-layer-hidden-state/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Keigo Shibata, Kazuki Yano, Ryosuke Takahashi, et al.*2026* **[SURGELLM: Rethinking Multi-Task Evaluation through Task-Aware Feature Gating with Class-Balanced Normalization](https://md.research.elamur.ai/free/en/papers/mohammad-2026-surgellm-rethinking-multi-task-evaluation/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Noor Islam S. Mohammad, Ulug Bayazit*2026* **[Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in Dialogue](https://md.research.elamur.ai/free/en/papers/utting-2026-surprisal-minimisation-over-goal-directed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Thomas P. Utting, Mario Giulianelli, Arabella Sinclair*2026* **[Survey of Hallucination Detection Methods for Large Language Models (大语言模型幻觉检测方法综述)](https://md.research.elamur.ai/free/en/papers/li-2026-hallucination-detection-methods/) [Journal of Computer Research and Development](https://md.research.elamur.ai/free/en/venues/journal-of-computer-research-and-development/)**Zituo Li (李自拓), Jianbin Sun (孙建彬), Guangzhou Chen (陈广州), et al.*2026* **[Survey of Tools for Manual Linguistic Annotation: Supporting Diversity through Interactive Exploration](https://md.research.elamur.ai/free/en/papers/pannitto-2026-survey-tools-manual-linguistic-annotation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ludovica Pannitto, Kaja Dobrovoljc Zor, Bruno Guillaume*2026* **[Survey on KV Cache Compression Methods for Large Language Model Inference (大语言模型推理中的键值缓存压缩方法综述)](https://md.research.elamur.ai/free/en/papers/hu-2026-kv-cache-compression/) [Journal of Computer Research and Development](https://md.research.elamur.ai/free/en/venues/journal-of-computer-research-and-development/)**Shipeng Hu (胡世鹏), Guangyan Zhang (张广艳), Weimin Zheng (郑纬民)*2026* **[SWAN: Semantic Watermarking with Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/ye-2026-swan-semantic-watermarking-abstract-meaning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al.*2026* **[SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents](https://md.research.elamur.ai/free/en/papers/wastl-2026-swissgov-rsd-human-annotated-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michelle Wastl, Jannis Vamvas, Rico Sennrich*2026* **[Switching Heads and Softening Tokens: Turnkey Solutions to Visually Grounded Document QA](https://md.research.elamur.ai/free/en/papers/wen-2026-switching-heads-softening-tokens-turnkey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ximing Wen, Wenbo Li, Sudipta Paul, et al.*2026* **[SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and Summarization](https://md.research.elamur.ai/free/en/papers/vijayaraghavan-2026-symdirec-neuro-symbolic-divide-retrieve/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Prashanth Vijayaraghavan, Apoorva Nitsure, Luyao Shi, et al.*2026* **[Synergizing Stylometrics with Semantics: Dual-Path Framework for LLM Detection and Attribution](https://md.research.elamur.ai/free/en/papers/lu-2026-synergizing-stylometrics-semantics-dual-path/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingyu Lu, Yumeng Ma, Xiang Zhou, et al.*2026* **[Syntactic Priming in Few-Shot Learning: How Demonstration Structure Shapes LLM Performance](https://md.research.elamur.ai/free/en/papers/yadla-2026-syntactic-priming-few-shot-learning/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Prasanth Yadla*2026* - [Syntax is the Key to Semantics: Combining Universal Dependencies and Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/heinecke-2026-syntax-is-key-semantics-combining/) — Johannes Heinecke · Machine translation **[SyntaxMind at SemEval-2026 Task 6: Exploring Transformers and LLMs for Unmasking Political Question Evasions](https://md.research.elamur.ai/free/en/papers/riad-2026-syntaxmind-semeval-2026-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Md. Shihab Uddin Riad*2026* **[SynthAgent: Adapting Web Agents with Synthetic Supervision](https://md.research.elamur.ai/free/en/papers/wang-2026-synthagent-adapting-web-agents-synthetic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaoyang Wang, Yiming Liang, Xuchao Zhang, et al.*2026* **[Synthetic Data Generation for Training Diversified Commonsense Reasoning Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-synthetic-data-generation-training-diversified/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianhui Zhang, Bei Peng, Danushka Bollegala*2026* **[Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/schaffelder-2026-synthetic-eggs-many-baskets-impact/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Max Schaffelder, Albert Gatt*2026* **[Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-Tuning](https://md.research.elamur.ai/free/en/papers/stenlund-2026-synthetic-instruction-generation-low-resource/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.*2026* **[Synthetic Text Detection in the Age of Large Language Models: Watermark vs. Automatic Detection](https://md.research.elamur.ai/free/en/papers/uchendu-2026-synthetic-text-detection-age-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Adaku Uchendu*2026* **[SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair](https://md.research.elamur.ai/free/en/papers/zhang-2026-synthfix-adaptive-neuro-symbolic-code/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifan Zhang, Jieyu Li, Kexin Pei, et al.*2026* - [SyriSign: A Parallel Corpus for Arabic Text to Syrian Arabic Sign Language Translation arXiv:2603.29219](https://md.research.elamur.ai/free/en/papers/khalil-2026-syrisign-parallel-corpus-arabic-text/) — Mohammad Amer Khalil, Raghad Nahas, Ahmad Nassar, et al. · 2026 **[Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale](https://md.research.elamur.ai/free/en/papers/liu-2026-systematic-evaluation-quality-synthetic-clinical/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Jinghui Liu, Sarvesh Soni, Anthony Nguyen*2026* **[Systematicity between Forms and Meanings across Languages Supports Efficient Communication](https://md.research.elamur.ai/free/en/papers/osmelak-2026-systematicity-between-forms-meanings-across/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Doreen Osmelak, Yang Xu, Michael Hahn, et al.*2026* **[syuhhh@EEUCA 2026: A Three-Stage Progressive Training Framework for Fine-Grained Toxicity Detection in Online Gaming Communities](https://md.research.elamur.ai/free/en/papers/shi-2026-syuhhh-eeuca-2026-three-stage/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Yuhao Shi, Yu Wang, Shengjie Zhao*2026* - [T'OMIM: A Morphologically Annotated Dataset of Parallel Passages in the Hebrew Bible](https://md.research.elamur.ai/free/en/papers/smiley-2026-tomim-morphologically-annotated-dataset-parallel/) — David M. Smiley · Ancient Hebrew - [T. V. Tsymbaliuk-Skopnenko. Describing the lexis and phraseology missing from dictionaries in Ukrainian classical fiction of the late 19th to the first half of the 20th century // Movoznavstvo, 2026, no. 1 (Цимбалюк-Скопненко Т. В.. Проблема опису позасловникової лексики й фраземіки української художньої класичної літератури кінця ХІХ — першої половини ХХ ст. // Мовознавство, 2026, № 1) Movoznavstvo (Linguistics), 2026, no. 1 (Мовознавство, 2026, № 1)](https://md.research.elamur.ai/free/en/papers/skopnenko-2026-pozaslovnykova-leksyka/) — T. V. Tsymbaliuk-Skopnenko (Цимбалюк-Скопненко Т. В.) · 2026 **[T: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/xia-2026-t-star-progressive-block-scaling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanchen Xia, Baoyou Chen, Yutang Ge, et al.*2026* **[TabGuard: Agentic LLM Orchestration for Adaptive Tabular Anomaly Detection via Dynamic Validator Selection and Generation](https://md.research.elamur.ai/free/en/papers/unnikrishnan-2026-tabguard-agentic-llm-orchestration-adaptive/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Srihari Unnikrishnan, Minghua Ma*2026* **[Table-R1: Region-based Reinforcement Learning for Table Understanding](https://md.research.elamur.ai/free/en/papers/wu-2026-table-r1-region-based-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenhe Wu, Jian Yang, Zhongjiang He, et al.*2026* **[TableMBR: Minimum Bayes Risk Table Generation Based on Structural Consistency](https://md.research.elamur.ai/free/en/papers/yoshida-2026-tablembr-minimum-bayes-risk-table/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Daiki Yoshida, Hiroyuki Deguchi, Yusuke Sakai, et al.*2026* - [TabletCraft: Bridging a 4,000-Year Cultural Gap with Bidirectional Akkadian NMT and Cuneiform Rendering](https://md.research.elamur.ai/free/en/papers/wang-2026-tabletcraft-bridging-4-000-year/) — Zhaohui Geoffrey Wang · Semitic languages **[TableVista: Benchmarking Multimodal Table Reasoning under Visual and Structural Complexity](https://md.research.elamur.ai/free/en/papers/yang-2026-tablevista-benchmarking-multimodal-table-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zheyuan Yang, Liqiang Shang, Junjie Chen, et al.*2026* **[Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation](https://md.research.elamur.ai/free/en/papers/shi-2026-tackling-root-misinformation-teaching-laypeople/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minjing Shi, Junling Wang, Jingwei Ni, et al.*2026* **[TAGA@EEUCA 2026: Token-Attribution Guided Attention for Fine-Grained Toxic Behaviour Classification in Online Gaming Communities](https://md.research.elamur.ai/free/en/papers/shah-2026-taga-eeuca-2026-token-attribution/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Akshyat Shah, Shashi Sah, Aryan Gupta, et al.*2026* **[Tailored Primitive Initialization is the Secret Key to Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yao-2026-tailored-primitive-initialization-is-secret/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yihang Yao, Guangtao Zeng, Raina Wu, et al.*2026* **[Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction](https://md.research.elamur.ai/free/en/papers/wu-2026-tailoring-diagnostic-modeling-individual-learners/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tao Wu, Jingyuan Chen, Wang Lin, et al.*2026* **[Tailoring Rumor Debunking to You: Diversifying Chinese Rumor-Debunking Passages with an LLM-Driven Simulated Feedback-Enhanced Framework](https://md.research.elamur.ai/free/en/papers/pang-2026-tailoring-rumor-debunking-you-diversifying/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xinle Pang, Danding Wang, Qiang Sheng, et al.*2026* **[Take It All: Ensemble Retrieval for Multimodal Evidence Aggregation](https://md.research.elamur.ai/free/en/papers/upravitelev-2026-take-it-all-ensemble-retrieval/) [Fact Extraction and VERification Workshop (FEVER)](https://md.research.elamur.ai/free/en/venues/fever/)**Max Upravitelev, Veronika Solopova, Premtim Sahitaj, et al.*2026* **[Taken into consideration: evaluating esteem biases by race, gender and region in large language models in Brazilian Portuguese (Levados em Consideração: Uma Avaliação de Vieses de Estima por Raça, Gênero e Região em Grandes Modelos de Linguagem em Português Brasileiro)](https://md.research.elamur.ai/free/en/papers/melo-2026-levados-em-consideracao-uma-avaliacao/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**João Lucas Lima de Melo, Marlo Souza*2026* **[Talent or Luck? 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