--- title: "Artificial Intelligence — papers, page 83 — Elamur Research" description: "Artificial Intelligence: 8,885 papers of the Elamur Research library · page 83 of 90 · 8126–8225, the most cited first — our summary of each…" canonical: "https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/83/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/83/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) / [Artificial Intelligence](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) / page 83 # 🤖 Artificial Intelligence 8,885 papers · page 83 of 90 · 8126–8225 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Artificial Intelligence is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Speech and dialogue systems». ## Papers (8,885) [← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/82/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [80](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/80/) [81](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/81/) [82](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/82/) **83** [84](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/84/) … [90](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/90/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/84/) 8126. [**Do I know what I want to say? Modeling meaning uncertainty in RSA**Anzi Wang, Carolyn Jane Anderson, Grusha Prasad*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-do-i-know-what-i/) 8127. [**Do Lexical and Contextual Coreference Resolution Systems Degrade Differently under Mention Noise? An Empirical Study on Scientific Software Mentions**Atilla Kaan Alkan, Felix Grezes, Jennifer Lynn Bartlett, et al.*2026*](https://md.research.elamur.ai/free/en/papers/alkan-2026-do-lexical-contextual-coreference-resolution/) 8128. [**Do LLMs Use Relational Structure in KG-Grounded Dialogue? Evidence from Entity and Relation Perturbation**Dominic Okonkwo, Ismailcem Budak Arpinar*2026*](https://md.research.elamur.ai/free/en/papers/okonkwo-2026-do-llms-use-relational-structure/) 8129. [**Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations**Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/) 8130. [**Document-Level Text Simplification in Estonian Using Large Language Models**Meeri-Ly Muru, Eduard Barbu*2026*](https://md.research.elamur.ai/free/en/papers/muru-2026-document-level-text-simplification-estonian/) 8131. [**Domain-Aware Error Correction for Citation NER in Medieval Hebrew Responsa**Shmuel LIebeskind, Maayan Zhitomirsky-Geffet, Binyamin Katzoff, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liebeskind-2026-domain-aware-error-correction-citation/) 8132. [**DREAM: A Multicultural Multimodal Dataset Linking Dialogues and Realistic Image Sequences**Juan Mallo, Marcos Estecha-Garitagoitia, Ricardo Cordoba, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mallo-2026-dream-multicultural-multimodal-dataset-linking/) 8133. [**DRInQ: Evaluating Conversational Implicature with Controlled Context Variation**Hirona Jacqueline Arai, Xiang Ren*2026*](https://md.research.elamur.ai/free/en/papers/arai-2026-drinq-evaluating-conversational-implicature-controlled/) 8134. [**DS@GT ARC at CheckThat! 2026: LLM-Based Trace Ranking and Grouped Reward Modeling for Multilingual Numerical Claim Verification**Sagnik Sinha, Shreyas Shrestha*2026*](https://md.research.elamur.ai/free/en/papers/sinha-2026-ds-gt-arc-checkthat-2026/) 8135. [**Dynamic Layer Selection for Efficient Tone Recognition in Self-Supervised Speech Models**Saint Germes B. BENGONO OBIANG, Norbert TSOPZE, Paulin MELATAGIA YONTA*2026*](https://md.research.elamur.ai/free/en/papers/obiang-2026-dynamic-layer-selection-efficient-tone/) 8136. [**Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation**Luke Zhang, Justin Vasselli, Aditya Khan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-dynamic-meta-metrics-source-sentence/) 8137. [**Dynamic Model Switching to Mitigate Outdated Knowledge in Large Language Models**Ramakrishna Pinninti, Sabyasachi Kamila, Ayan Mazumder, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pinninti-2026-dynamic-model-switching-mitigate-outdated/) 8138. [**E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral-benchmarks/) 8139. [**E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language Understanding**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral/) 8140. [**Early Fusion with Contrastive Learning: A Lightweight Alternative for Multi-modal Classification**Felix Wernlein, Abhik Jana, Sandipan Sikdar*2026*](https://md.research.elamur.ai/free/en/papers/wernlein-2026-early-fusion-contrastive-learning-lightweight/) 8141. [**EDRAC: Benchmarking Arabic Dialect Reading Comprehension**Noor Abo Mokh, Kirill Chirkunov, Teresa Lynn, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mokh-2026-edrac-benchmarking-arabic-dialect-reading/) 8142. [**EduBench: A Portuguese Benchmark for Open-Ended Discursive Question Answering**Pedro Henrique Paiola, Luís Gabriel Damiati Mendes, Bruno de Oliveira Monchelato, et al.*2026*](https://md.research.elamur.ai/free/en/papers/paiola-2026-edubench-portuguese-benchmark-open-ended/) 8143. [**Efficient Topic Extraction via Graph-Based Labeling: A Lightweight Alternative to Deep Models**Salma Mekaoui, Hiba Sofyan, Imane Benchrif, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mekaoui-2026-efficient-topic-extraction-graph-based/) 8144. [**EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressions**Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.*2026*](https://md.research.elamur.ai/free/en/papers/noel-2026-eiffel-novel-benchmark-measure-bias/) 8145. [**EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs**Ali Satvaty, Suzan Verberne, Fatih Turkmen*2026*](https://md.research.elamur.ai/free/en/papers/satvaty-2026-el-mia-quantifying-membership-inference/) 8146. [**Embedding Similarity Is Not Quality Estimation: Lessons from Replacing a Dedicated QE Model**Dimitrios Zaikis, Andrea Biondo, Matthew Dixon, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zaikis-2026-embedding-similarity-is-not-quality/) 8147. [**EmoAra: Emotion-Preserving English Speech Transcription and Cross-Lingual Translation with Arabic Text-to-Speech**Besher Hassan, Ibrahim Alsarraj, Musaab Hasan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hassan-2026-emoara-emotion-preserving-english-speech/) 8148. [**Emotion Transcription in Conversation: A Benchmark for Capturing Subtle and Complex Emotional States through Natural Language**Yoshiki Tanaka, Ryuichi Uehara, Koji Inoue, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tanaka-2026-emotion-transcription-conversation-benchmark-capturing/) 8149. [**Encoding Logical Relations of Chinese Complex Sentences within the Universal Dependencies Framework**Hongpu Zhu, Hongzhi Xu*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-encoding-logical-relations-chinese-complex/) 8150. [**ENEIDE: A High Quality Silver Standard Dataset for Named Entity Recognition and Linking in Historical Italian**Cristian Santini, Sebastian Barzaghi, Paolo Sernani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/santini-2026-eneide-high-quality-silver-standard/) 8151. [**English to Central Kurdish Speech Translation: Corpus Creation, Evaluation, and Orthographic Standardization**Mohammad Mohammadamini, Daban Jaff, Josep Crego, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mohammadamini-2026-english-central-kurdish-speech-translation/) 8152. [**English Word Sense Disambiguation in 2026: When the Labels Become the Bottleneck**Vassili Philippov, Amro Salman, Dmitrii Andreev, et al.*2026*](https://md.research.elamur.ai/free/en/papers/philippov-2026-english-wsd-labels/) 8153. [**Enhancing the Role-playing Capabilities of Reasoning-optimized Large Language Models (推理型大语言模型角色扮演能力评估与优化)**Xiachong Feng (冯夏冲), Yichong Huang (黄毅翀), Xiaocheng Feng (冯骁骋), et al.*2026*](https://md.research.elamur.ai/free/en/papers/feng-2026-enhancing-role-playing/) 8154. [**Ensemble Methods for Low-Resource Russian-Kyrgyz Machine Translation: When Diverse Models Beat Better Models**Adilet Metinov*2026*](https://md.research.elamur.ai/free/en/papers/metinov-2026-ensemble-methods-low-resource-russian/) 8155. [**Entity-Level Sentiment Analysis with Sentence Relevance Detection**Egil Rønningstad, Roman Klinger, Lilja Øvrelid, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ronningstad-2026-entity-level-sentiment-analysis-sentence/) 8156. [**Entropy-aware Masking for Masked Language Modeling**Gokul Srinivasagan, Kai Hartung, Munir Georges*2026*](https://md.research.elamur.ai/free/en/papers/srinivasagan-2026-entropy-aware-masking-masked-language/) 8157. [**eSciBench: An Extensible Scientific PDF Extraction Benchmark**Noah Tremblay Taillon, Phillippe Langlais*2026*](https://md.research.elamur.ai/free/en/papers/taillon-2026-escibench-extensible-scientific-pdf-extraction/) 8158. [**Evaluating Discriminability of Vision-Language Models**Masayasu Muraoka, Naoaki Okazaki*2026*](https://md.research.elamur.ai/free/en/papers/muraoka-2026-evaluating-discriminability-vision-language-models/) 8159. [**Evaluating Frontier LLM Translation Capability for Lakota**Lance Robertson*2026*](https://md.research.elamur.ai/free/en/papers/robertson-2026-evaluating-frontier-llm-translation-capability/) 8160. [**Evaluating Hierarchical Aggregation and LLM-Based Matching for Synset Selection in Ancient Greek**Luca Brigada Villa, Marco Passarotti, Chiara Zanchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/villa-2026-evaluating-hierarchical-aggregation-llm-based/) 8161. [**Evaluating Humanities Theory Alignment in Large Language Models: Incremental Prompting and Statistical Assessment**Axel Pichler, Janis Pagel*2026*](https://md.research.elamur.ai/free/en/papers/pichler-2026-evaluating-humanities-theory-alignment-large/) 8162. [**Evaluating Latin and Ancient Greek Sentence Alignment through Parallel Sentence Mining**Sebastian Reichbauer, Shu Okabe, Alexander Fraser*2026*](https://md.research.elamur.ai/free/en/papers/reichbauer-2026-evaluating-latin-ancient-greek-sentence/) 8163. [**Evaluating LLM Style Transfer Through Readability-Based Age Assessments**Maria Di Maro, Antonio Origlia, Leonilda Bilo, et al.*2026*](https://md.research.elamur.ai/free/en/papers/maro-2026-evaluating-llm-style-transfer-through/) 8164. [**Evaluating Multimodal Large Language Model Narrative Interpretation through the Lens of Appraisal Theory**Jayant Teotia, Xiaowei Wang, Xulang Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/teotia-2026-evaluating-multimodal-large-language-model/) 8165. [**Evaluating Native-Speaker Preferences on Machine Translation and Post-Edits for Five African Languages**Hiba El Oirghi, Tajuddeen Gwadabe, Marine Carpuat*2026*](https://md.research.elamur.ai/free/en/papers/oirghi-2026-evaluating-native-speaker-preferences-machine/) 8166. [**Evaluating Small Language Models for English-to-Portuguese Translation: Impact of Model Scale and Quantization**Gustavo Lopes Tamiosso, Rafael Oleques Nunes, Dennis Giovani Balreira*2026*](https://md.research.elamur.ai/free/en/papers/tamiosso-2026-evaluating-small-language-models-english/) 8167. [**Evaluating the Adaptability of Large Language Models to Linguistic Variation**Ziyan Xu, Marina Seghier, Alice Millour, et al.*2026*](https://md.research.elamur.ai/free/en/papers/xu-2026-evaluating-adaptability-large-language-models/) 8168. [**Evaluating the Effect of Question Wording Variations on Answer Consistency in Large Language Models**Junya Takayama, Masaya Ohagi, Tomoya Mizumoto, et al.*2026*](https://md.research.elamur.ai/free/en/papers/takayama-2026-evaluating-effect-question-wording-variations/) 8169. [**Evaluating the Impact of Source Diversity for RAG in Historical Research**Ruhi Mahadeshwar, Andreas van Cranenburgh, Tommaso Caselli, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mahadeshwar-2026-evaluating-impact-source-diversity-rag/) 8170. [**Evaluating the Retrieval Component in a Retrieval-Augmented Summarization System for Patient Records in French**Marco Naguib, Christel Gérardin, Victor Beaucoté, et al.*2026*](https://md.research.elamur.ai/free/en/papers/naguib-2026-evaluating-retrieval-component-retrieval-augmented/) 8171. [**Evaluation of Document-Level Text Simplification in Japanese**Iori Yamashita, Hikari Tanaka, Hajime Kiyama, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yamashita-2026-evaluation-document-level-text-simplification/) 8172. [**Evaluation of Multilingual Text Simplification for the Mental Health Domain: Exploring Small Language Models**Olga Pelloni, Sandra Just, Lars Bongo*2026*](https://md.research.elamur.ai/free/en/papers/pelloni-2026-evaluation-multilingual-text-simplification-mental/) 8173. [**Evaluation of Paralinguistic-Aware Spoken Dialogue Systems using Next-Utterance Classification**Kouki Miyazawa, Yoshinao Sato*2026*](https://md.research.elamur.ai/free/en/papers/miyazawa-2026-evaluation-paralinguistic-aware-spoken-dialogue/) 8174. [**Event-Guided Slot Interaction for Multi-Domain Dialogue State Tracking**Ying Xia, Wei Liu*2026*](https://md.research.elamur.ai/free/en/papers/xia-2026-event-guided-slot-interaction-multi/) 8175. [**Examining Algebraic Recombination for Compositional Generalisation**Joaquin Cardona Ruiz, Antske Fokkens, Lucia Donatelli*2026*](https://md.research.elamur.ai/free/en/papers/ruiz-2026-examining-algebraic-recombination-compositional-generalisation/) 8176. [**Expanding the Lexicon of Ge'ez Based African Languages: A Comparative Study of Amharic and Tigrinya**Hailay Kidu Teklehaymanot, Debela Desalegn Yadeta, Wolfgang Nejdl*2026*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2026-expanding-lexicon-ge-ez-based/) 8177. [**Explainable AI for Ethical Counter Speech Generation in Hate Speech Mitigation**Ashiful Islam Ridoy, Mohammed Faisal, Yogesh Kumar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ridoy-2026-explainable-ai-ethical-counter-speech/) 8178. [**Explore Political Discourse with Transformers. Emergent Paradigmatic and Syntagmatic Representations.**Laurent Vanni, Damon Mayaffre*2026*](https://md.research.elamur.ai/free/en/papers/vanni-2026-explore-political-discourse-transformers-emergent/) 8179. [**Exploring Cognitively Informed Sentence Simplification with Gaze-Guided Text Generation**Andreas Säuberli, Diego Frassinelli, Barbara Plank*2026*](https://md.research.elamur.ai/free/en/papers/sauberli-2026-exploring-cognitively-informed-sentence-simplification/) 8180. [**Extending Creativity: Large Language Models and the Practice of Poetry Translation**Natalia Resende, James Hadley*2026*](https://md.research.elamur.ai/free/en/papers/resende-2026-extending-creativity-large-language-models/) 8181. [**Extending Czech Aspect-Based Sentiment Analysis with Opinion Terms: Dataset and LLM Benchmarks**Jakub Šmíd, Pavel Priban, Pavel Kral*2026*](https://md.research.elamur.ai/free/en/papers/smid-2026-extending-czech-aspect-based-sentiment/) 8182. [**Extracting First Order Logic formulas from graphical semantic representations**Rémi de Vergnette, Vincent Tourneur, Maxime Amblard*2026*](https://md.research.elamur.ai/free/en/papers/vergnette-2026-extracting-first-order-logic-formulas/) 8183. [**Extracting Medical Image-Related Entities from Spanish Electronic Health Records Using NER Methods**Alexander Platas, Marcos Merino, Elena Zotova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/platas-2026-extracting-medical-image-related-entities/) 8184. [**Extractive Summarization for Arabic Documents Using SAraBERT with a Semantic Siamese Similarity Evaluation Metric**Sami Shames El Deen, Mariette Awad*2026*](https://md.research.elamur.ai/free/en/papers/deen-2026-extractive-summarization-arabic-documents-using/) 8185. [**Facilitating Large Language Model-based Multiple-choice Reading Comprehension with Question-solving Thought (基于解题思维机制的大语言模型多项选择阅读理解增强框架)**Yisong Su (苏艺淞), Yuanzhe Zhang (张元哲), Xiangwen Liao (廖祥文), et al.*2026*](https://md.research.elamur.ai/free/en/papers/su-2026-facilitating-large-language/) 8186. [**Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge Grounding**Priyanshu Priya, Hardik Goyal, Asif Ekbal*2026*](https://md.research.elamur.ai/free/en/papers/priya-2026-faithful-medical-dialogue-generation-homo/) 8187. [**Few-shot Prompting or Supervised Tuning? A Comparative Study of LLMs for Linguistically Distant Language Pairs in BDI**Deepen Naorem, Sanasam Ranbir Singh, Telem Joyson Singh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/naorem-2026-few-shot-prompting-or-supervised/) 8188. [**FIBER: A Multilingual Evaluation Resource for Factual Inference Bias**Evren Ayberk Munis, Deniz Yilmaz, Arianna Muti, et al.*2026*](https://md.research.elamur.ai/free/en/papers/munis-2026-fiber-multilingual-evaluation-resource-factual/) 8189. [**Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning**Mena Attia, Mona Diab, Thamar Solorio*2026*](https://md.research.elamur.ai/free/en/papers/attia-2026-figurative-cultural-knowledge-llms-investigating/) 8190. [**Fill-in-the-Blanks: Automatic Generation and Evaluation of Language Models' Pseudonyms for English and Swedish Texts**Maria Irena Szawerna, Jacob Lee Suchardt*2026*](https://md.research.elamur.ai/free/en/papers/szawerna-2026-fill-blanks-automatic-generation-evaluation/) 8191. [**Finding Sense in Nonsense with Generated Contexts: Perspectives from Humans and Language Models**Katrina Olsen, Sebastian Padó*2026*](https://md.research.elamur.ai/free/en/papers/olsen-2026-finding-sense-nonsense-generated-contexts/) 8192. [**Fine-tuning Whisper Across 81 Languages**Shivam Singh, Alex Warstadt*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-fine-tuning-whisper-across-81/) 8193. [**Fine-tuning Whisper with Spontaneous Persian Speech (SPS)**Behnoosh Namdarzadeh, Nicolas Ballier*2026*](https://md.research.elamur.ai/free/en/papers/namdarzadeh-2026-fine-tuning-whisper-spontaneous-persian/) 8194. [**Floating or Suggesting Ideas? A Large-Scale Contrastive Analysis of Metaphorical and Literal Verb–Object Constructions**Prisca Piccirilli, Alexander Fraser, Sabine Schulte im Walde*2026*](https://md.research.elamur.ai/free/en/papers/piccirilli-2026-floating-or-suggesting-ideas-large/) 8195. [**Focus particles and scalar inferences across humans and language models**Catherine M. Brousse, Nelu D. Radpour*2026*](https://md.research.elamur.ai/free/en/papers/brousse-2026-focus-particles-scalar-inferences-across/) 8196. [**Formalizing the DATASUS RTS: An Ontological Model for a Resource Description Framework Knowledge Graph**Vitor Pires, Dalvan Griebler, Felipe Meneguzzi*2026*](https://md.research.elamur.ai/free/en/papers/pires-2026-formalizing-datasus-rts-ontological-model/) 8197. [**FormosanMT: A Multilingual Parallel Corpus of the Formosan Language Family**Hunter Scheppat, Joshua K. Hartshorne, Sema Koc, et al.*2026*](https://md.research.elamur.ai/free/en/papers/scheppat-2026-formosanmt-multilingual-parallel-corpus-formosan/) 8198. [**ForumOccitania: A Corpus of User-Generated Content for Multiple Occitan Varieties**Oriane Nédey, Juliette Janès, Rachel Bawden, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nedey-2026-forumoccitania-corpus-user-generated-content/) 8199. [**Frame2KG: A Benchmark and Evaluation Toolkit for Interpretable Frame-to-Graph Generation**Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.*2026*](https://md.research.elamur.ai/free/en/papers/watson-2026-frame2kg-benchmark-evaluation-toolkit-interpretable/) 8200. [**From Bones to Rocks: A Systematic Evaluation of Specialized Definition Generation for Portuguese**Rafael Oleques Nunes, Dennis Giovani Balreira, Joel Luís Carbonera*2026*](https://md.research.elamur.ai/free/en/papers/nunes-2026-bones-rocks-systematic-evaluation-specialized/) 8201. [**From Categories to Decisions: A Framework for Attitudinal Analysis of Evaluative Language**Jiamei Zeng, Haitao Wang, Harry Bunt, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeng-2026-categories-decisions-framework-attitudinal-analysis/) 8202. [**From CHAT to Coded CoNLL-U: A Reproducible Pipeline for the Syntactic Annotation and Querying of Child Language Data**Achim Stein*2026*](https://md.research.elamur.ai/free/en/papers/stein-2026-chat-coded-conll-u-reproducible/) 8203. [**From Corpus to Concept Scheme: Developing a SKOS Vocabulary for Armenian Epigraphic Heritage**Hamest Tamrazyan, Kamal Nour, Emanuela Boros*2026*](https://md.research.elamur.ai/free/en/papers/tamrazyan-2026-corpus-concept-scheme-developing-skos/) 8204. [**From Felt Sense to Words: Construction and Analysis of a Focusing Dialogue Dataset for Verbalization**Yuiko Tsunomori, Yuya Chiba, Yosuke Koshikawa*2026*](https://md.research.elamur.ai/free/en/papers/tsunomori-2026-felt-sense-words-construction-analysis/) 8205. [**From Form to Meaning: Interlingua Sense-Alignment of Offensive Language with LLMs**Maria Alexandra Roussopoulou, Stella Markantonatou*2026*](https://md.research.elamur.ai/free/en/papers/roussopoulou-2026-form-meaning-interlingua-sense-alignment/) 8206. [**From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge Graphs**Kamyar Zeinalipour, Silvia Severini, Alessia Borghini, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeinalipour-2026-graph-text-back-semantic-fidelity/) 8207. [**From Insights to Impact: Actionable Interpretability for Neural Machine Translation**Gabriele Sarti*2026*](https://md.research.elamur.ai/free/en/papers/sarti-2026-insights-impact-actionable-interpretability-neural/) 8208. [**From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder Features**Nakanyseth Vuth, Gilles Sérasset, Didier Schwab*2026*](https://md.research.elamur.ai/free/en/papers/vuth-2026-latents-labels-zero-shot-named/) 8209. [**From Lemmatization to Legal Terminology: Assessing an Hybrid Pipeline on Justinian's Digest**Paola Marongiu, Eva Sassolini*2026*](https://md.research.elamur.ai/free/en/papers/marongiu-2026-lemmatization-legal-terminology-assessing-hybrid/) 8210. [**From LLM Prompts to Acoustic Baselines: A Scalable Pipeline for Under-Resourced Disfluent Code-Mixed Speech**Anuran Mitra, Anirvan Chakravarty, Tapabrata Mondal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mitra-2026-llm-prompts-acoustic-baselines-scalable/) 8211. [**From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language Models (从感知到推理：深度思考赋能多模态大语言模型)**Wenxin Zhu (祝文鑫), Andong Chen (陈安东), Yuchen Song (宋宇宸), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-perception-reasoning-deep/) 8212. [**From Propositional to Perceptual Asymmetry: Extending FPO to Asymmetric Partial Information Dialogue**Yifan Zhu, Kyeongmin Rim, James Pustejovsky*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-propositional-perceptual-asymmetry-extending-fpo/) 8213. 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