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title: "European Language Resources Association (ELRA) — works, page"
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# Works of European Language Resources Association (ELRA)

911 works · page 9 of 10 · the most cited first · [← European Language Resources Association (ELRA)](https://md.research.elamur.ai/free/en/publishers/european-language-resources-association-elra/)

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801. [**CONVERSE: Annotation Scheme and Dataset for Multimodal Conversational Engagement Analysis in Human-Human and Human-Robot Interaction**Ekaterina Torubarova, Oskar Ljung, Julia Uddén, et al.*2026*](https://md.research.elamur.ai/free/en/papers/torubarova-2026-converse-annotation-scheme-dataset-multimodal/)
802. [**TryggLLM: A Benchmark for Evaluating LLM Safety in Norwegian**Samia Touileb, Truls Pedersen, Isabell Stinessen Haugen*2026*](https://md.research.elamur.ai/free/en/papers/touileb-2026-tryggllm-benchmark-evaluating-llm-safety/)
803. [**Topic-context Dependency on Continuous Semantic Reconstruction of Language from fMRI Signals**Fermin Travi, Agustin Delmagro, Diego Fernandez Slezak, et al.*2026*](https://md.research.elamur.ai/free/en/papers/travi-2026-topic-context-dependency-continuous-semantic/)
804. [**TiC-MuFormer: Time-Aware Caption-Integrated Multimodal Transformers for User-Level Mental Health Modeling**Georgios Tsoumplekas, Yannis Spyridis, Vasileios Argyriou*2026*](https://md.research.elamur.ai/free/en/papers/tsoumplekas-2026-tic-muformer-time-aware-caption/)
805. [**Aligned Parallel Corpus of the Vedic Saṁhitās for Machine Translation**Yuzuki Tsukagoshi, Ikki Ohmukai*2026*](https://md.research.elamur.ai/free/en/papers/tsukagoshi-2026-aligned-parallel-corpus-vedic-sa/)
806. [**Reason-to-Learn (R2L): Multi-Agent Knowledge Distillation for Lightweight LLMs in Sentiment Analysis**Le-Huy Tu, Quan Nguyen, Vincent NGUYEN, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tu-2026-reason-learn-r2l-multi-agent/)
807. [**Orthographic Constraint Satisfaction and Human Difficulty Alignment in Large Language Models**Bryan E. Tuck, Rakesh Verma*2026*](https://md.research.elamur.ai/free/en/papers/tuck-2026-orthographic-constraint-satisfaction-human-difficulty/)
808. [**High-Order Question Generation in a Multilingual Educational Context**Suna Seyma Uçar, Itziar Aldabe, Nora Aranberri, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ucar-2026-high-order-question-generation-multilingual/)
809. [**A Proposal for a More Universal Annotation of Relative Clauses in Universal Dependencies**Santiago Herrera, Sylvain Kahane*2026*](https://md.research.elamur.ai/free/en/papers/herrera-2026-proposal-more-universal-annotation-relative/)
810. [**TTSVowelViz: A Tool for Visualising Text-to-Speech Model Training via Vowel Spaces**Pasindu Udawatta, Jesin James, Balamurali B T, et al.*2026*](https://md.research.elamur.ai/free/en/papers/udawatta-2026-ttsvowelviz-tool-visualising-text-speech/)
811. [**Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance**Kentaro Ueda, François Portet, Hirohiko Suwa, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ueda-2026-merging-continual-pretraining-models-domain/)
812. [**MaskedVerbalizer: Automatic Verbalizer Construction for Few-Shot Text Classification in Low-Resource Right-to-Left Languages**Faizad Ullah, Furqan Sikandar, Areeba Waqar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ullah-2026-maskedverbalizer-automatic-verbalizer-construction-few/)
813. [**PrePPER: A Preference Pattern-based Profiling Framework for Explainable Recommendation**Taisuke Usumi, Akiko Masaki, Sanae Muramatsu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/usumi-2026-prepper-preference-pattern-based-profiling/)
814. [**Reading Time in the Wild: An Assessment of Readability Predictors Based on Naturally-Observed Reading Times**Sijbren van Vaals, Rik van Noord, Malvina Nissim*2026*](https://md.research.elamur.ai/free/en/papers/vaals-2026-reading-time-wild-assessment-readability/)
815. [**Merge and Conquer: Instructing Multilingual Models by Adding Target Language Weights**Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/valero-2026-merge-conquer-instructing-multilingual-models/)
816. [**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/)
817. [**Memorization or Lucky Guesses: Detecting Short Sequences from Copyrighted Dutch News in LLM Output**Joris Veerbeek, Kas Berendsen, Alessandra Polimeno, et al.*2026*](https://md.research.elamur.ai/free/en/papers/veerbeek-2026-memorization-or-lucky-guesses-detecting/)
818. [**Towards Expectation Detection in Language: A Case Study on Treatment Expectations in Reddit**Aswathy Velutharambath, Amelie Wührl*2026*](https://md.research.elamur.ai/free/en/papers/velutharambath-2026-expectation-detection-language-case-study/)
819. [**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/)
820. [**Semantic Parsing for Evaluating Large Language Models: Separating Linguistic Abilities with YARN**Rémi DE VERGNETTE, Maxime Amblard*2026*](https://md.research.elamur.ai/free/en/papers/vergnette-2026-semantic-parsing-evaluating-large-language/)
821. [**Predicting Topic (Co-)Occurrence Using Topic Networks Built from the Project Gutenberg Corpus**Bhuvanesh Verma, Alexander Mehler*2026*](https://md.research.elamur.ai/free/en/papers/verma-2026-predicting-topic-co-occurrence-topic/)
822. [**LLM-Assisted Spanish Dialect Corpus Construction**Jessica Claribel RAMIREZ VIDAL, Hiroki Ouchi, Sakriani Sakti*2026*](https://md.research.elamur.ai/free/en/papers/vidal-2026-llm-assisted-spanish-dialect-corpus/)
823. [**Benchmark Data Contamination in Underrepresented Languages: A Comprehensive Analysis Using Brazilian Data**Iriedson Souto Maior de Moraes Vilar, David Candeia Maia, João Brunet, et al.*2026*](https://md.research.elamur.ai/free/en/papers/vilar-2026-benchmark-data-contamination-underrepresented-languages/)
824. [**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/)
825. [**HumaniCA: A Benchmark Resource for the Detection of Users' Ascription of Humanness to Conversational Agents**Sabrina Villata, Amon Rapp, Luigi Di Caro, et al.*2026*](https://md.research.elamur.ai/free/en/papers/villata-2026-humanica-benchmark-resource-detection-users/)
826. [**Building Collaborative Speech Corpora for Low-Resource Languages: The Galician Dataset in Mozilla Common Voice**Adina Ioana Vladu, Elisa Fernández Rei, María Pérez Lago*2026*](https://md.research.elamur.ai/free/en/papers/vladu-2026-building-collaborative-speech-corpora-low/)
827. [**Nos_Brais-GL: A FAIR Galician TTS Corpus for Neural Speech Synthesis**Adina Ioana Vladu, Antonio Moscoso Sánchez, Carmen Magariños, et al.*2026*](https://md.research.elamur.ai/free/en/papers/vladu-2026-nos-brais-gl-fair-galician/)
828. [**MUDiC: A Dataset for Multi-User Dialogue and Collaboration in Chatbot Interaction**Nicolas Wagner, Cristina Luna Jimenez, Elisabeth Andre, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wagner-2026-mudic-dataset-multi-user-dialogue/)
829. [**Quality and Appropriateness of Large Text Datasets for Irish NLP**Abigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.*2026*](https://md.research.elamur.ai/free/en/papers/walsh-2026-quality-appropriateness-large-text-datasets/)
830. [**Appraisal Theory-Informed Emotion Prediction**Xiaowei Wang, Jayant Teotia, Rui Mao, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-appraisal-theory-informed-emotion-prediction/)
831. [**Beyond BLEU: Linguistic Invisibility and Interactional Repair Sequence in End-to-End Sign Language Translation**Zirui Wang, Mayumi Bono*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-beyond-bleu-linguistic-invisibility-interactional/)
832. [**ChineseDevBench: A Chinese Developmental Benchmark for Language Development**Shaonan Wang, Yiwen Wu, Na Li, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-chinesedevbench-chinese-developmental-benchmark-language/)
833. [**Context-8: A Data Set for Evaluating Context Sensitivity in Machine Translation**Dongyue Wang, Kyo Kageura*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-context-8-data-set-evaluating/)
834. [**MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and Reasoning**Zimu Wang, Yuqi Wang, Tong Chen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-meur-benchmark-evaluating-vision-language/)
835. [**Predicting States of Understanding in Explanatory Interactions Using Cognitive Load-Related Linguistic Cues**Yu Wang, Olcay Türk, Angela Grimminger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-predicting-states-understanding-explanatory-interactions/)
836. [**Tools for Estimating the Perceived Level of Phonetic Reduction**Nigel Ward, Javier Vazquez, Emma (Danny) R. Boushka, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ward-2026-tools-estimating-perceived-level-phonetic/)
837. [**Cross-Lingual and Cross-Cultural Transfer of Talk Move Classification to German Science Classrooms**Christian Wartena, Christian Schumburg, Andreas Nehring, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wartena-2026-cross-lingual-cross-cultural-transfer/)
838. [**Developing a Guideline for the Labovian-Structural Analysis of Oral Narratives in Japanese**Amane Watahiki, Tomoki Doi, Akari Kikuchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/watahiki-2026-developing-guideline-labovian-structural-analysis/)
839. [**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/)
840. [**PAIR: A Pilot Dataset for Dual Perspective-based Video-Grounded Dialogue and Reconciliation**Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.*2026*](https://md.research.elamur.ai/free/en/papers/watson-2026-pair-pilot-dataset-dual-perspective/)
841. [**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/)
842. [**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/)
843. [**ToneSwiper: Facilitating Manual ToDI-annotation of Dutch Prosody**Matthijs Westera, Ariëlle Reitsema*2026*](https://md.research.elamur.ai/free/en/papers/westera-2026-toneswiper-facilitating-manual-todi-annotation/)
844. [**NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language Inference**Matheus Westhelle, Viviane Moreira*2026*](https://md.research.elamur.ai/free/en/papers/westhelle-2026-negnli-br-brazilian-portuguese-benchmark/)
845. [**ADHD-Lang: A Large-Scale Social Media Dataset for Verbal Behavior and Digital Phenotyping in Adult ADHD**Daniel Wiechmann, Elma Kerz, Edward Kempa, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wiechmann-2026-adhd-lang-large-scale-social/)
846. [**A Linguistic Ontology for Constructicography: The Research Constructicon and its Ontology Modules**Elodie Winckel, Peter Uhrig, Stephanie Evert*2026*](https://md.research.elamur.ai/free/en/papers/winckel-2026-linguistic-ontology-constructicography-research-constructicon/)
847. [**SKILL-IR-Discourse: A Large, Annotated Corpus of Argumentation and Domain Discourse on International Relations**Magdalena Wolska, Matti Wiegmann, Sassan Gholiagha, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wolska-2026-skill-ir-discourse-large-annotated/)
848. [**AI Safety Lost in Translation: Evaluating the Effectiveness of English-Italian Cross-Lingual LLM Safety Alignment**Alessio Wu, Martim Brandao*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-ai-safety-lost-translation-evaluating/)
849. [**EpiGator: An Event-based Surveillance System for Infectious Disease Outbreaks**Yiheng Wu, Jue Hou, Trangcasanchai Sathianpong, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-epigator-event-based-surveillance-system/)
850. [**Persona-Conditioned Generation of Patient Self-Reports from EHRs**Yuexin Wu, Jianming Wei, Vasile Rus*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-persona-conditioned-generation-patient-self/)
851. [**Translation as Augmentation: Effect of Translated Data on Assessment of Difficulty**Yiheng Wu, Jue Hou, Roman Yangarber*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-translation-as-augmentation-effect-translated/)
852. [**LongTailQA: Benchmarking LLMs and RAG Models on Disambiguated Long-Tail Entities**William Xion, Uwe Hadler, Tim Cofala, et al.*2026*](https://md.research.elamur.ai/free/en/papers/xion-2026-longtailqa-benchmarking-llms-rag-models/)
853. [**Cultural and Knowledge Biases in LLMs through the Lens of Entity-Aware Machine Translation**Lu Xu, Luca Moroni, Roberto Navigli*2026*](https://md.research.elamur.ai/free/en/papers/xu-2026-cultural-knowledge-biases-llms-through/)
854. [**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/)
855. [**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/)
856. [**CS-YODAS: A Mined Dataset of In-the-Wild Code-Switched Speech**Brian Yan, Qingzheng Wang, Matthew Wiesner, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-cs-yodas-mined-dataset-wild/)
857. [**MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description Scenarios**Bi-Cheng Yan, Fu-An Chao, Hong-Yun H.Y. Lin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-masa-novel-multimodal-foundation-model/)
858. [**GlossMATE: Multi-Agent Translator Explanations for Glosses**Changbing Yang, Patrick Littell, Gabriel Bernier-Colborne, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-glossmate-multi-agent-translator-explanations/)
859. [**K-MIND: Korean Multimodal INteraction Data for Dyadic Conversation Analysis**Jae Hee Yang, Yuha Shin, Saim Shin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-k-mind-korean-multimodal-interaction/)
860. [**To Skip, to Swap or to Not Swap? Identifying Step Transition Types in Instructional Manuals**Hsiu-Yu Yang, Michael Roth, Andreas Bulling, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-skip-swap-or-not-swap/)
861. [**TG-ASR: Translation-Guided Learning with Parallel Gated Cross Attention for Low-Resource Automatic Speech Recognition**ChengYeh Yang, Chien-Chun Wang, Li-Wei Chen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-tg-asr-translation-guided-learning/)
862. [**TrAinMR: an Annotator Training Website for Abstract Meaning Representation**Mina Yang, Shira Wein*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-trainmr-annotator-training-website-abstract/)
863. [**SPQ: An Ensemble Technique for Large Language Model Compression**Jiamin Yao, Eren Gultepe*2026*](https://md.research.elamur.ai/free/en/papers/yao-2026-spq-ensemble-technique-large-language/)
864. [**Lost in Translation: Repurposing semantic similarity benchmarks for evaluating lexical-semantic consistency in LLM-based machine translation**Quin Ye, Jelke Bloem*2026*](https://md.research.elamur.ai/free/en/papers/ye-2026-lost-translation-repurposing-semantic-similarity/)
865. [**SAINT: Multilingual Span-Level Interpretability for Sentiment Analysis**Seid Muhie Yimam, Tadesse Destaw Belay, Robert Geislinger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yimam-2026-saint-multilingual-span-level-interpretability/)
866. [**Reasoning Graph-Structured Question Answering: Datasets and Insights from LLM Benchmarking**Khin Yone, Devasha Trivedi, Anish Pahilajani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yone-2026-reasoning-graph-structured-question-answering/)
867. [**Persona-Aware Evaluation of Cognitive Bias in LLMs: From Benchmark to Applied Decision-Making**Katsumasa Yoshikawa, Junya Takayama, Takato Yamazaki*2026*](https://md.research.elamur.ai/free/en/papers/yoshikawa-2026-persona-aware-evaluation-cognitive-bias/)
868. [**A Dataset of Wolof Ajami Manuscripts for HTR and OCR**Oreen Yousuf, Elhadji Djibril Diagne, Christian Høgel, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yousuf-2026-dataset-wolof-ajami-manuscripts-htr/)
869. [**Automatic Analysis of Collaboration through Human Conversational Data Resources: A Review**Yi Yu, Maria Boritchev, Chloé Clavel*2026*](https://md.research.elamur.ai/free/en/papers/yu-2026-automatic-analysis-collaboration-through-human/)
870. [**CATS: An Annotation Scheme of Causality and Temporal Structure**Nana Yu, Purificação Silvano, Luís Filipe Cunha, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yu-2026-cats-annotation-scheme-causality-temporal/)
871. [**JSTS-Neg: Japanese Semantic Textual Similarity Dataset for Evaluating Negation Understanding Ability**Reiko Yuasa, Yoshihide Kato, Shigeki Matsubara*2026*](https://md.research.elamur.ai/free/en/papers/yuasa-2026-jsts-neg-japanese-semantic-textual/)
872. [**CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor Traps**Jungmin Yun, June Hyoung Kwon, Youngbin Kim*2026*](https://md.research.elamur.ai/free/en/papers/yun-2026-crit-qa-evaluating-multi-hop/)
873. [**ArabDiscrim: A Decade-Long Arabic Facebook Corpus on Racism and Discrimination**Wajdi Zaghouani, Shimaa Amer Ibrahim, Mabrouka Bessghaier, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-arabdiscrim-decade-long-arabic-facebook/)
874. [**ClimateChat-300K: A Multi-Modal Facebook Dataset for Understanding Diverse Perspectives in Climate Communication**Wajdi Zaghouani, Md. Rafiul Biswas, Mabrouka Bessghaier, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-climatechat-300k-multi-modal-facebook/)
875. [**Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human Data**Wajdi Zaghouani*2026*](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-cognitive-alignment-large-language-models/)
876. [**JobArabi: An Arabic Corpus and Analysis of Job Announcements from Social Media**Wajdi Zaghouani, Shimaa Amer Ibrahim, Mabrouka Bessghaier, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-jobarabi-arabic-corpus-analysis-job/)
877. [**Big Five Personality Prediction through Emotion-Conditioned Representations and Learnable Psycholinguistic Mapping**Lorenzo Zangari, Antonin Schnyder, Davide Picca*2026*](https://md.research.elamur.ai/free/en/papers/zangari-2026-big-five-personality-prediction-through/)
878. [**“Oat Milk Vegan Chocolate Taste Great!”: Monitoring the Food Transition Debate in Reddit**Greta Zella, Jan Willem Bolderdijk, Saskia Peels, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zella-2026-oat-milk-vegan-chocolate-taste/)
879. [**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/)
880. [**AmazoniaNLP: A Survey of Extreme Low-Resource Languages in the Peruvian-Brazilian Amazon**Rodolfo Joel Zevallos, Fabrício Carraro, John E. Ortega*2026*](https://md.research.elamur.ai/free/en/papers/zevallos-2026-amazonianlp-survey-extreme-low-resource/)
881. [**Developing Zila: A Spoken Language Resource for the Endangered Slovenian Gail Valley Dialect**Andrej Zgank, Gregor Donaj, Urh Kolaric, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zgank-2026-developing-zila-spoken-language-resource/)
882. [**Implicit Bias in Peer Review: Through the Lens of Language Abstraction**Xulang Zhang, Rui Mao, Erik Cambria*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-implicit-bias-peer-review-through/)
883. [**A Joint Detection Framework for Latvian Loanwords and Calques Using Monolingual Data**Yelingyun Zhang, Atis Kapenieks, Marina Platonova*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-joint-detection-framework-latvian-loanwords/)
884. [**NRD: A Hybrid Disentanglement Framework for Mitigating Interference in Multilingual Machine Translation**Jiarui Zhang, Yifan Deng*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-nrd-hybrid-disentanglement-framework-mitigating/)
885. [**The Potential for Misleading Results in Text Sanitisation with Standard Evaluation Metrics**Dan Zhang, Mark Anderson*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-potential-misleading-results-text-sanitisation/)
886. [**Rethinking Evaluation in Retrieval-Augmented Personalized Dialogue: A Cognitive and Linguistic Perspective**Tianyi Zhang, David Traum*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-rethinking-evaluation-retrieval-augmented-personalized/)
887. [**Supervised Contrastive Fine-Tuning for Active Few-Shot Learning**Zirui Zhang, Lei Ge, Shengyu Qiao*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-supervised-contrastive-fine-tuning-active/)
888. [**LLMs as Annotators: Evaluating Model–Human Alignment in Detecting Contentious Language in Historical Corpora**Yahui Zhao, Clemencia Siro, Laura Hollink*2026*](https://md.research.elamur.ai/free/en/papers/zhao-2026-llms-as-annotators-evaluating-model/)
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