---
title: "Language Resources and Evaluation Conference… — works, page"
description: "811 works of Language Resources and Evaluation Conference (LREC) in our library · page 8 of 9, the most cited first."
canonical: "https://research.elamur.ai/free/en/venues/lrec/works/page/8/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/lrec/works/page/8/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Language Resources and Evaluation Conference…](https://md.research.elamur.ai/free/en/venues/lrec/) / [works](https://md.research.elamur.ai/free/en/venues/lrec/works/) / page 8

# Works of Language Resources and Evaluation Conference (LREC)

811 works · page 8 of 9 · the most cited first · [← Language Resources and Evaluation Conference…](https://md.research.elamur.ai/free/en/venues/lrec/)

[← prev](https://md.research.elamur.ai/free/en/venues/lrec/works/page/7/) [1](https://md.research.elamur.ai/free/en/venues/lrec/works/) … [7](https://md.research.elamur.ai/free/en/venues/lrec/works/page/7/) **8** [9](https://md.research.elamur.ai/free/en/venues/lrec/works/page/9/) [next →](https://md.research.elamur.ai/free/en/venues/lrec/works/page/9/)

701. [**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/)
702. [**The Spectrum of Sentiment: Optimistic, Pessimistic, and Neutral Voices in Online Depression Discourse**Stefana Arina Tabusca, Ana-Maria Bucur, Liviu P. Dinu*2026*](https://md.research.elamur.ai/free/en/papers/tabusca-2026-spectrum-sentiment-optimistic-pessimistic-neutral/)
703. [**Automatic Speech Recognition for Documenting Endangered Languages: Case Study of Ikema Miyakoan**Chihiro Taguchi, Yukinori Takubo, David Chiang*2026*](https://md.research.elamur.ai/free/en/papers/taguchi-2026-automatic-speech-recognition-documenting-endangered/)
704. [**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/)
705. [**Construction of Japanese Prefectural Assembly Minutes Datasets across Three Electoral Terms: Comparative Analysis of 2011, 2015, and 2019 Four-Year Periods**Keiichi Takamaru, Hokuto Ototake, Yuzu Uchida, et al.*2026*](https://md.research.elamur.ai/free/en/papers/takamaru-2026-construction-japanese-prefectural-assembly-minutes/)
706. [**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/)
707. [**Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language Models**Makoto Takenaka, Hitomi Yanaka*2026*](https://md.research.elamur.ai/free/en/papers/takenaka-2026-seeing-other-side-diagnostic-tasks/)
708. [**Bangla Key2Text: Text Generation from Keywords for a Low Resource Language**Tonmoy Talukder, G M Shahariar*2026*](https://md.research.elamur.ai/free/en/papers/talukder-2026-bangla-key2text-text-generation-keywords/)
709. [**Beyond Catalogue Counts: The Dataset Visibility Asymmetry in Low-Resource Multilingual NLP**Zhiyin Tan, Changxu Duan*2026*](https://md.research.elamur.ai/free/en/papers/tan-2026-beyond-catalogue-counts-dataset-visibility/)
710. [**VUPMC: A New Political Metaphor Corpus in Mandarin Chinese**Xiaojuan Tan*2026*](https://md.research.elamur.ai/free/en/papers/tan-2026-vupmc-new-political-metaphor-corpus/)
711. [**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/)
712. [**RuznamceNER: A Named Entity Recognition Dataset for Ottoman Turkish**Esma Fatıma Bilgin Tasdemir, Dilara Zeynep Gürer, Saziye Betul Ozates*2026*](https://md.research.elamur.ai/free/en/papers/tasdemir-2026-ruznamcener-named-entity-recognition-dataset/)
713. [**LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation**Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl*2026*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2026-lgse-lexically-grounded-subword-embedding/)
714. [**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/)
715. [**MUSIA: Multilingual Story Illustration Corpus for Cross-Cultural Alignment and Generation**Krishna Tewari, Supriya Chanda, Nirmit Patil, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tewari-2026-musia-multilingual-story-illustration-corpus/)
716. [**How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment**Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thaler-2026-how-far-can-bias-go/)
717. [**Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark Suite**Klaudia Thellmann, Bernhard Stadler, Michael Färber*2026*](https://md.research.elamur.ai/free/en/papers/thellmann-2026-diagnosing-translated-benchmarks-automated-quality/)
718. [**AmDi - Ambiguous Words Diachronic Dataset**Felix Thielen, Kai Kugler*2026*](https://md.research.elamur.ai/free/en/papers/thielen-2026-amdi-ambiguous-words-diachronic-dataset/)
719. [**A Study on Building Efficient Zero-Shot Relation Extraction Models**Hugo THOMAS, Caio Corro, Guillaume Gravier, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thomas-2026-study-building-efficient-zero-shot/)
720. [**Simulating Student Interactions for Virtual Pretesting with In-Context Learning**Arthur Thuy, Luca Benedetto, Ekaterina Loginova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thuy-2026-simulating-student-interactions-virtual-pretesting/)
721. [**OpenSubtitles2024: A Massively Parallel Dataset of Movie Subtitles for MT Development and Evaluation**Joerg Tiedemann, Hengyu Luo*2026*](https://md.research.elamur.ai/free/en/papers/tiedemann-2026-opensubtitles2024-massively-parallel-dataset-movie/)
722. [**To Overfit or Not to Overfit? An Evaluation of HTR Workflow on 17Th-18Th Century French Corpus**Marine Tiger*2026*](https://md.research.elamur.ai/free/en/papers/tiger-2026-overfit-or-not-overfit-evaluation/)
723. [**HOTATE: A Japanese Dialogue Corpus Annotated with Responses of Private Thoughts and Public Statements**Yuko Toda, Daisuke Maekawa, Kota Manabe, et al.*2026*](https://md.research.elamur.ai/free/en/papers/toda-2026-hotate-japanese-dialogue-corpus-annotated/)
724. [**TDMulti: A Tunisian Dialect-Modern Standard Arabic Multitask Corpus with a Context-Aware Cross-Attention BERT Model**Roua Torjmen, Kais HADDAR*2026*](https://md.research.elamur.ai/free/en/papers/torjmen-2026-tdmulti-tunisian-dialect-modern-standard/)
725. [**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/)
726. [**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/)
727. [**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/)
728. [**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/)
729. [**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/)
730. [**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/)
731. [**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/)
732. [**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/)
733. [**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/)
734. [**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/)
735. [**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/)
736. [**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/)
737. [**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/)
738. [**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/)
739. [**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/)
740. [**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/)
741. [**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/)
742. [**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/)
743. [**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/)
744. [**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/)
745. [**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/)
746. [**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/)
747. [**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/)
748. [**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/)
749. [**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/)
750. [**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/)
751. [**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/)
752. [**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/)
753. [**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/)
754. [**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/)
755. [**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/)
756. [**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/)
757. [**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/)
758. [**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/)
759. [**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/)
760. [**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/)
761. [**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/)
762. [**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/)
763. [**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/)
764. [**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/)
765. [**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/)
766. [**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/)
767. [**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/)
768. [**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/)
769. [**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/)
770. [**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/)
771. [**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/)
772. [**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/)
773. [**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/)
774. [**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/)
775. [**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/)
776. [**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/)
777. [**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/)
778. [**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/)
779. [**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/)
780. [**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/)
781. [**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/)
782. [**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/)
783. [**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/)
784. [**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/)
785. [**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/)
786. [**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/)
787. [**“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/)
788. [**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/)
789. [**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/)
790. [**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/)
791. [**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/)
792. [**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/)
793. [**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/)
794. [**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/)
795. [**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/)
796. [**I Came, I Saw, I Explained: Benchmarking Multimodal LLMs on Figurative Meaning in Memes**Shijia Zhou, Saif M. Mohammad, Barbara Plank, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-i-came-i-saw-i/)
797. [**RadTimeline: Timeline Summarization for Longitudinal Radiological Lung Findings**Sitong Zhou, Meliha Yetisgen, Mari Ostendorf*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-radtimeline-timeline-summarization-longitudinal-radiological/)
798. [**CANVAS: A Multimodal Dataset of Chinese Textbook Images for Bias and Representation Analysis**Haotian Zhu, Kefan Yu, Min Li*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-canvas-multimodal-dataset-chinese-textbook/)
799. [**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/)
800. [**POLAR: A Corpus of Questions, Responses and Argumentation in Polish Political Radio Discourse**Daniel Ziembicki, Aleksandra Zwierzchowska, Ewelina Sobol, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ziembicki-2026-polar-corpus-questions-responses-argumentation/)

[← prev](https://md.research.elamur.ai/free/en/venues/lrec/works/page/7/) [1](https://md.research.elamur.ai/free/en/venues/lrec/works/) … [7](https://md.research.elamur.ai/free/en/venues/lrec/works/page/7/) **8** [9](https://md.research.elamur.ai/free/en/venues/lrec/works/page/9/) [next →](https://md.research.elamur.ai/free/en/venues/lrec/works/page/9/)

- [← back to](https://md.research.elamur.ai/free/en/venues/lrec/) — Language Resources and Evaluation Conference (LREC)