---
title: "Who cites Geoffrey Cideron — page 7 — 3,370 citing papers"
description: "3,370 papers of the Elamur Research library cite the works of Geoffrey Cideron, found in their bibliographies · page 7 of 10 · 601–700; the…"
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---
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# Who cites Geoffrey Cideron

3,478 citations of their works from 3,370 papers of our library (of the 149,439 whose bibliographies we read) · 962 with a page here, the most cited first · page 7 of 10 · 601–700 · [← Geoffrey Cideron](https://md.research.elamur.ai/free/en/authors/geoffrey-cideron/)

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601. **[K-NLPers at SemEval-2026 Task 7: Multiple LLM Agent Debate System for Everyday Knowledge Across Diverse Languages and Cultures](https://md.research.elamur.ai/free/en/papers/song-2026-k-nlpers-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Jiwoo Song, Sihyeong Yeom, Harksoo Kim*2026 · 1 citation*
602. **[KG-MuLQA: A Framework for KG-based Multi-Level QA Extraction and Long-Context LLM Evaluation](https://md.research.elamur.ai/free/en/papers/tatarinov-2026-kg-mulqa-framework-kg-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nikita Tatarinov, Vidhyakshaya Kannan, Haricharana Srinivasa, et al.*2026 · 1 citation*
603. **[KidsArtBench: Multi-Dimensional Children's Art Evaluation with Attribute-Aware MLLMs](https://md.research.elamur.ai/free/en/papers/ye-2026-kidsartbench-multi-dimensional-children-s/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Mingrui Ye, Chanjin Zheng, Zengyi Yu, et al.*2026 · 1 citation*
604. **[Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs?](https://md.research.elamur.ai/free/en/papers/sun-2026-knowledge-extraction-semi-structured-content/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kai Sun, Yin Huang, Srishti Mehra, et al.*2026 · 1 citation*
605. **[MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling](https://md.research.elamur.ai/free/en/papers/wang-2026-mavis-multi-agent-framework-long/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Qian Wang, Ziqi Huang, Ruoxi Jia, et al.*2026 · 1 citation*
606. **[mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection](https://md.research.elamur.ai/free/en/papers/macko-2026-mdok-style-semeval-2026-task-2026-semeval-1-64/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Dominik Macko*2026 · 1 citation*
607. **[mdok-style at SemEval-2026 Task 9: Finetuning LLMs for Multilingual Polarization Detection](https://md.research.elamur.ai/free/en/papers/macko-2026-mdok-style-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Dominik Macko, Alok Debnath, Jakub Simko*2026 · 1 citation*
608. **[Measuring Human Contribution in AI-Assisted Content Generation](https://md.research.elamur.ai/free/en/papers/xie-2026-measuring-human-contribution-ai-assisted/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yueqi Xie, Tao Qi, Jingwei Yi, et al.*2026 · 1 citation*
609. **[Measuring Linguistic Competence of LLMs on Indigenous Languages of the Americas](https://md.research.elamur.ai/free/en/papers/vasselli-2026-measuring-linguistic-competence-llms-indigenous/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Justin Vasselli, Arturo Martínez Peguero, Frederikus Hudi, et al.*2026 · 1 citation*
610. **[Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers](https://md.research.elamur.ai/free/en/papers/yang-2026-mid-think-training-free-intermediate/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Van Yang, Shouren Wang, Debargha Ganguly, et al.*2026 · 1 citation*
611. **[MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-mmerror-benchmark-erroneous-reasoning-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Shi, Yifeng Xie, Minzhe Guo, et al.*2026 · 1 citation*
612. **[Modeling Clinical Uncertainty in Radiology Reports: From Explicit Uncertainty Markers to Implicit Reasoning Pathways](https://md.research.elamur.ai/free/en/papers/rabaey-2026-modeling-clinical-uncertainty-radiology-reports/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Paloma Rabaey, Jong Hak Moon, Jung-Oh Lee, et al.*2026 · 1 citation*
613. **[Multilingual Long-Form Speech Instruction Following: KIT's Submission to IWSLT 2026](https://md.research.elamur.ai/free/en/papers/ugan-2026-multilingual-long-form-speech-instruction/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Enes Yavuz Ugan, Maike Züfle, Yuka Ko, et al.*2026 · 1 citation*
614. **[MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding](https://md.research.elamur.ai/free/en/papers/luo-2026-museg-reinforcing-video-temporal-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fuwen Luo, Shengfeng Lou, Chi Chen, et al.*2026 · 1 citation*
615. **[NAMAA at SemEval-2026 Task 9: Comparing Generative, Retrieval-Augmented, and Discriminative Methods for Arabic Online Polarization Detection and Type Classification](https://md.research.elamur.ai/free/en/papers/djamai-2026-namaa-semeval-2026-task-9/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Abdelbasset Djamai, Sahara Al-Madi, Norah Al-Zaid, et al.*2026 · 1 citation*
616. **[NeoAraBERT: A Modern Foundation Model for Arabic Embeddings with Diacritics-Aware Tokenization and POS-Targeted Masking](https://md.research.elamur.ai/free/en/papers/chakra-2026-neoarabert-modern-foundation-model-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chadi Abou Chakra, Hadi Khaled Hamoud, Osama Rakan Al Mraikhat, et al.*2026 · 1 citation*
617. **[OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets](https://md.research.elamur.ai/free/en/papers/shen-2026-ocr-or-not-rethinking-document/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jiyuan Shen, Yuan Peiyue, Atin Ghosh, et al.*2026 · 1 citation*
618. **[Otter at MedExAct2026: Diverse Encoder Ensemble for Medical Decision Span Detection](https://md.research.elamur.ai/free/en/papers/lowphansirikul-2026-otter-medexact2026-diverse-encoder-ensemble/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Lalita Lowphansirikul, Piyalitt Ittichaiwong*2026 · 1 citation*
619. **[PatentVision: A multimodal method for drafting patent applications](https://md.research.elamur.ai/free/en/papers/yang-2026-patentvision-multimodal-method-drafting-patent/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ruo Yang, Sai Krishna Reddy Mudhiganti, Manali Sharma*2026 · 1 citation*
620. **[PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors](https://md.research.elamur.ai/free/en/papers/rooein-2026-pats-personality-aware-teaching-strategies/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, et al.*2026 · 1 citation*
621. **[Phatthachdau at SemEval-2026 Task 9: A Multi-Stage Augment-Judge-Train Pipeline for Multilingual Online Polarization Detection](https://md.research.elamur.ai/free/en/papers/phat-2026-phatthachdau-semeval-2026-task-9/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Phan Phat*2026 · 1 citation*
622. **[QueStER: Query Specification for Generative Keyword-Based Retrieval](https://md.research.elamur.ai/free/en/papers/satouf-2026-quester-query-specification-generative-keyword/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Arthur Satouf, Yuxuan Zong, Habiboulaye Amadou Boubacar, et al.*2026 · 1 citation*
623. **[Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs](https://md.research.elamur.ai/free/en/papers/thapa-2026-reasoning-or-knowledge-stratified-evaluation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Rahul Thapa, Qingyang Wu, Kevin Wu, et al.*2026 · 1 citation*
624. **[Redefining Retrieval Evaluation in the Era of LLMs](https://md.research.elamur.ai/free/en/papers/trappolini-2026-redefining-retrieval-evaluation-era-llms/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Giovanni Trappolini, Florin Cuconasu, Simone Filice, et al.*2026 · 1 citation*
625. **[Rethinking Schema Linking: A Context-Aware Bidirectional Retrieval Approach for Text-to-SQL](https://md.research.elamur.ai/free/en/papers/nahid-2026-rethinking-schema-linking-context-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Md Mahadi Hasan Nahid, Davood Rafiei, Weiwei Zhang, et al.*2026 · 1 citation*
626. **[Retrieving Climate Change Disinformation by Narrative](https://md.research.elamur.ai/free/en/papers/upravitelev-2026-retrieving-climate-change-disinformation-narrative/) [Workshop on Ecology, Environment, and Natural Language Processing](https://md.research.elamur.ai/free/en/venues/nlp4ecology/)**Max Upravitelev, Veronika Solopova, Charlott Jakob, et al.*2026 · 1 citation*
627. **[RotBench: Evaluating Multi-modal Large Language Models on Identifying Image Rotation](https://md.research.elamur.ai/free/en/papers/niu-2026-rotbench-evaluating-multi-modal-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tianyi Niu, Jaemin Cho, Elias Stengel-Eskin, et al.*2026 · 1 citation*
628. **[SCAN: Structured Capability Assessment and Navigation for LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-scan-structured-capability-assessment-navigation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zongqi Wang, Tianle Gu, Chen Gong, et al.*2026 · 1 citation*
629. **[schmerle at SemEval-2026 Task 4: Exploring Large Language Model Prompting Strategies for Low-Resource Narrative Similarity Detection](https://md.research.elamur.ai/free/en/papers/schmerle-2026-schmerle-semeval-2026-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Maximilian Schmerle, Nils Constantin Hellwig*2026 · 1 citation*
630. **[SciFlow-Bench: Evaluating Structure-Aware Scientific Diagram Generation via Inverse Parsing](https://md.research.elamur.ai/free/en/papers/zhang-2026-sciflow-bench-evaluating-structure-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tong Zhang, Honglin Lin, Zhou Liu, et al.*2026 · 1 citation*
631. **[Seals-NLP at SemEval-2026 Task 9: A Comparative Study of Transformer Architectures for Polarization Detection](https://md.research.elamur.ai/free/en/papers/smith-2026-seals-nlp-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Minh Smith, Cheryl Seals*2026 · 1 citation*
632. **[SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM Compression](https://md.research.elamur.ai/free/en/papers/yun-2026-sharvet-similarity-aware-parameter-sharing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jeongin Yun, Jaeri Lee, Jongjin Kim, et al.*2026 · 1 citation*
633. **[SigJBS@LT-EDI 2026: QLoRA-Tuned Homophobic and Transphobic Counter Narrative Generation](https://md.research.elamur.ai/free/en/papers/sinha-2026-sigjbs-lt-edi-2026-qlora/) [Workshop on Language Technology for Equality, Diversity, Inclusion](https://md.research.elamur.ai/free/en/venues/ltedi/)**Gaurangi Sinha, Rajarajeswari Palacharla, Manoj Balaji Jagadeeshan*2026 · 1 citation*
634. **[Smart_solutions at MEDIQA-SYNUR 2026: A Multi-Stage LLM Pipeline for Nursing Observation Extraction](https://md.research.elamur.ai/free/en/papers/munjal-2026-smart-solutions-mediqa-synur-2026/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Prateek Munjal*2026 · 1 citation*
635. **[Specializing Large Models for Oracle Bone Script Interpretation via Component-Grounded Multimodal Knowledge Augmentation](https://md.research.elamur.ai/free/en/papers/zhang-2026-specializing-large-models-oracle-bone/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianing Zhang, Runan Li, Honglin Pang, et al.*2026 · 1 citation*
636. **[Synthia: Scalable Grounded Persona Generation from Social Media Data](https://md.research.elamur.ai/free/en/papers/rahimzadeh-2026-synthia-scalable-grounded-persona-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vahid Rahimzadeh, Erfan Moosavi Monazzah, Mohammad Taher Pilehvar, et al.*2026 · 1 citation*
637. **[Takoyaki at SemEval-2026 Task 3: Ensembling LLM Predictions using Demonstration Retrieval for Dimensional Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/yamada-2026-takoyaki-semeval-2026-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Kosuke Yamada, Sho Takase, Ryosuke Kohita*2026 · 1 citation*
638. **[Team Macaroni at SemEval-2026 Task 10: PsyCoMark: Psycholinguistic Conspiracy Marker Extraction and Detection](https://md.research.elamur.ai/free/en/papers/rabehi-2026-team-macaroni-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Rofaida Rabehi, Nicolai Plenk, Miriam Han*2026 · 1 citation*
639. **[TinyAttack: Exploring Stylistic Vulnerabilities in Large Language Models](https://md.research.elamur.ai/free/en/papers/mamta-2026-tinyattack-exploring-stylistic-vulnerabilities-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mamta Mamta, Bogdan Grecu, Oana Cocarascu*2026 · 1 citation*
640. **[TrietNLP at ATE-IT: A Hybrid Pipeline for Italian Waste Management Terminology Analysis](https://md.research.elamur.ai/free/en/papers/triet-2026-trietnlp-ate-it-hybrid-pipeline/) [Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop](https://md.research.elamur.ai/free/en/venues/evalita/)**Nguyen Minh Triet, Dang Van Thin*2026 · 1 citation*
641. **[Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection](https://md.research.elamur.ai/free/en/papers/tan-2026-understanding-structured-financial-data-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuwei Tan, Yao Ma, Xueru Zhang*2026 · 1 citation*
642. **[Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding](https://md.research.elamur.ai/free/en/papers/mohammed-2026-unlocking-latent-discourse-translation-llms/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Wafaa Mohammed, Vlad Niculae, Chrysoula Zerva*2026 · 1 citation*
643. **[Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/luo-2026-utility-oriented-visual-evidence-selection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weiqing Luo, Zongye Hu, Xiao Wang, et al.*2026 · 1 citation*
644. **[VisTW: Benchmarking Vision-Language Models for Taiwanese Mandarin in Taiwan](https://md.research.elamur.ai/free/en/papers/tam-2026-vistw-benchmarking-vision-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhi Rui Tam, Yung-Yu Shih, Yen-Wei Lee, et al.*2026 · 1 citation*
645. **[What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-what-makes-llm-good-optimizer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinhao Zhang, Xi Chen, François Portet, et al.*2026 · 1 citation*
646. **[When Do Large Language Models Exhibit Unsolicited Deception?](https://md.research.elamur.ai/free/en/papers/taylor-2026-when-do-large-language-models/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Samuel M. Taylor, Benjamin K. Bergen*2026 · 1 citation*
647. **[When Vision-Language Models Judge Without Seeing: Exposing Informativeness Bias](https://md.research.elamur.ai/free/en/papers/zou-2026-when-vision-language-models-judge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, et al.*2026 · 1 citation*
648. **[Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains](https://md.research.elamur.ai/free/en/papers/park-2026-where-reasoning-breaks-logic-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Seunghyun Park, Yuanyuan Lei*2026 · 1 citation*
649. **[Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language Models](https://md.research.elamur.ai/free/en/papers/mammen-2026-who-endorsed-it-measuring-authority/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Priyanka Mary Mammen, Emil Joswin, Shankar Venkitachalam*2026 · 1 citation*
650. **[Whose Facts Win? LLM Source Preferences under Knowledge Conflicts](https://md.research.elamur.ai/free/en/papers/schuster-2026-whose-facts-win-llm-source/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jakob Schuster, Vagrant Gautam, Katja Markert*2026 · 1 citation*
651. **[“I See What You Did There”: Can Large Vision-Language Models Understand Multimodal Puns?](https://md.research.elamur.ai/free/en/papers/xu-2026-i-see-what-you-did/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Naen Xu, Jiayi Sheng, Changjiang Li, et al.*2026 · 1 citation*
652. **[AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models](https://md.research.elamur.ai/free/en/papers/althnian-2025-araeval-arabic-multi-task-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, et al.*2025 · 1 citation*
653. **[AraMinds at AraHealthQA 2025: A Retrieval-Augmented Generation System for Fine-Grained Classification and Answer Generation of Arabic Mental Health Q&A](https://md.research.elamur.ai/free/en/papers/zaytoon-2025-araminds-arahealthqa-2025-retrieval-augmented/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamed Zaytoon, Ahmed Mahmoud Salem, Ahmed Sakr, et al.*2025 · 1 citation*
654. [**Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare Tasks arXiv:2508.15797**Nouar AlDahoul, Yasir Zaki*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/aldahoul-2025-benchmarking-medical-understanding-reasoning-large/)
655. **[Can LLMs Verify Arabic Claims? Evaluating the Arabic Fact-Checking Abilities of Multilingual LLMs](https://md.research.elamur.ai/free/en/papers/gupta-2025-can-llms-verify-arabic-claims/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Ayushman Gupta, Aryan Singhal, Thomas Law, et al.*2025 · 1 citation*
656. [**Cross-Lingual SynthDocs: A Large-Scale Synthetic Corpus for Any to Arabic OCR and Document Understanding arXiv:2511.04699**Haneen Al-Homoud; Asma Ibrahim; Murtadha Al-Jubran; Fahad Al-Otaibi; Yazeed Al-Harbi; Daulet Toibazar; Kesen Wang;, Pedro J. Moreno*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/al-homoud-2025-cross-lingual-synthdocs-large-scale/)
657. **[On Reference (In-)Determinacy in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/chen-2025-reference-determinacy-natural-language-inference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sihao Chen, Chaitanya Malaviya, Alex Fabrikant, et al.*2025 · 1 citation*
658. **[\textitOne Persona, \textitMany Cues, \textitDifferent Results: How Sociodemographic Cues Impact LLM Personalization](https://md.research.elamur.ai/free/en/papers/weeber-2026-textitone-persona-textitmany-cues-textitdifferent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Franziska Weeber, Vera Neplenbroek, Jan Batzner, et al.*2026*
659. **[A Benchmark Corpus for the Diagnostic Assessment of Content in L2 English Speech](https://md.research.elamur.ai/free/en/papers/doi-2026-benchmark-corpus-diagnostic-assessment-content/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kosuke Doi, Justin Vasselli, Taro Watanabe*2026*
660. [**A Cascade Reinforcement Learning Strategy for Efficiently Enhancing the Reasoning Ability of Multimodal Large Language Models (高效提升多模态大语言模型推理能力的级联强化学习策略) Acta Automatica Sinica (自动化学报)**Weiyun Wang (王玮赟), Hengjun Pu (蒲恒骏), Linglin Jing (景凌林), et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-cascade-reinforcement-learning/)
661. [**A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms arXiv:2609.04170**Davide Paglieri, Logan Cross, Tim Genewein, et al.*2026*](https://md.research.elamur.ai/free/en/papers/paglieri-2026-case-study-emergent-cheating/)
662. **[A Fine-Grained Linguistic Evaluation of Low-Resource Luxembourgish–English MT](https://md.research.elamur.ai/free/en/papers/rehlinger-2026-fine-grained-linguistic-evaluation-low/) [Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)](https://md.research.elamur.ai/free/en/venues/loresmt/)**Nils Rehlinger*2026*
663. **[A Large-Scale Instruction-Tuning Dataset and Models for Slovenian Vision-Language Tasks](https://md.research.elamur.ai/free/en/papers/martinc-2026-large-scale-instruction-tuning-dataset/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Matej Martinc, Domen Vreš*2026*
664. **[A multilingual hallucination benchmark](https://md.research.elamur.ai/free/en/papers/thoresen-2026-multilingual-hallucination-benchmark/) [Workshop on the Role of Resources in the Age of Large Language Models](https://md.research.elamur.ai/free/en/venues/resourceful/)**Freja Thoresen, Dan Saattrup Smart*2026*
665. **[A Simple and Efficient Learning-Style Prompting for LLM Jailbreaking](https://md.research.elamur.ai/free/en/papers/luo-2026-simple-efficient-learning-style-prompting/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuan Luo, Yue Wang, Zefeng He, et al.*2026*
666. **[A Single Model Ensemble Framework for Neural Machine Translation Using Pivot Translation](https://md.research.elamur.ai/free/en/papers/oh-2026-single-model-ensemble-framework-neural/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Seokjin Oh, Keonwoong Noh, Woohwan Jung*2026*
667. **[A Survey of Large Models in Sports](https://md.research.elamur.ai/free/en/papers/xu-2026-survey-large-models-sports/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yichen Xu, Jianzhe Ma, Chuhan Wang, et al.*2026*
668. [**A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战) Acta Automatica Sinica (自动化学报)**Anda Tang (唐岸达), Zhouchen Lin (林宙辰)*2026*](https://md.research.elamur.ai/free/en/papers/tang-2026-parameter-efficient-fine/)
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670. **[A3S@C-DAC at #SMM4H-HeaRD 2026: Reasoning Meets Evidence: LLMs for Interpretable Insomnia Detection with Evidence Extraction in Clinical Notes](https://md.research.elamur.ai/free/en/papers/maity-2026-a3s-c-dac-smm4h-heard/) [Social Media Mining for Health Research and Applications Workshop and Shared Tasks](https://md.research.elamur.ai/free/en/venues/smm4h/)**Abhishek Maity, Amol Shinde, Abhishek Suresh Kushare, et al.*2026*
671. **[Adapting Vision-Language Models for E-commerce Understanding at Scale](https://md.research.elamur.ai/free/en/papers/nulli-2026-adapting-vision-language-models-e/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Matteo Nulli, Vladimir Orshulevich, Tala Bazazo, et al.*2026*
672. **[Afri-MCQA: Multimodal Cultural Question Answering for African Languages](https://md.research.elamur.ai/free/en/papers/tonja-2026-afri-mcqa-multimodal-cultural-question/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Atnafu Lambebo Tonja, Srija Anand, Emilio Villa-Cueva, et al.*2026*
673. **[AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African Languages](https://md.research.elamur.ai/free/en/papers/yu-2026-afriquellm-how-data-mixing-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Yu, Tianyi Xu, Michael A. Hedderich, et al.*2026*
674. **[AI Safety Lost in Translation: Evaluating the Effectiveness of English-Italian Cross-Lingual LLM Safety Alignment](https://md.research.elamur.ai/free/en/papers/wu-2026-ai-safety-lost-translation-evaluating/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Alessio Wu, Martim Brandao*2026*
675. **[Aligning Backchannel and Dialogue Context Representations via Contrastive LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/qian-2026-aligning-backchannel-dialogue-context-representations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Livia Qian, Gabriel Skantze*2026*
676. **[An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QA](https://md.research.elamur.ai/free/en/papers/sharma-2026-answer-is-just-start-related/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Saransh Sharma, Pritika Ramu, Aparna Garimella, et al.*2026*
677. **[An Evaluation of Classifiers for Mapping Generative LLM Responses to Answer Options of Multiple-choice Questionnaires](https://md.research.elamur.ai/free/en/papers/stroligo-2026-evaluation-classifiers-mapping-generative-llm/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Alisea Stroligo, Anna Shamray, Julian Schelb, et al.*2026*
678. **[AnswerCarefully: Creating a Dataset for LLM Safety in Japanese](https://md.research.elamur.ai/free/en/papers/suzuki-2026-answercarefully-creating-dataset-llm-safety/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hisami Suzuki, Satoru Katsumata, Takashi Kodama, et al.*2026*
679. **[Applicability Condition Extraction for Therapeutic Drug-Disease Relations](https://md.research.elamur.ai/free/en/papers/luo-2026-applicability-condition-extraction-therapeutic-drug/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guanting Luo, Noriki Nishida, Yuji Matsumoto, et al.*2026*
680. [**Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models**Mohamed Adel, Bashar Alhafni, Nizar Habash*2026*](https://md.research.elamur.ai/free/en/papers/adel-2026-arabic-morphosyntactic-tagging-dependency-parsing/)
681. [**ArabicNumBench: Evaluating Arabic Number Reading in Large Language Models arXiv:2602.18776**Anas Alhumud, Abdulaziz Alhammadi, Muhammad Badruddin Khan*2026*](https://md.research.elamur.ai/free/en/papers/alhumud-2026-arabicnumbench-evaluating-arabic-number-reading/)
682. [**ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation arXiv:2606.10765**Khaled Elhady, Omar Kallas, Nizar Habash, et al.*2026*](https://md.research.elamur.ai/free/en/papers/elhady-2026-arabigee-hierarchical-taxonomy-arabic-grammatical/)
683. [**Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM Evaluation arXiv:2604.03395**Leen AlQadi, Ahmed Alzubaidi, Mohammed Alyafeai, et al.*2026*](https://md.research.elamur.ai/free/en/papers/alqadi-2026-arabic-benchmarks-reliable-qimma-s/)
684. **[Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-ascending-infinite-ladder-benchmarking-spatial/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiahuan Zhang, Shunwen Bai, Tianheng Wang, et al.*2026*
685. **[AssamLegalTrans: A Parallel Corpus, Benchmark and Analysis for English-Assamese Machine Translation of Legal Judgments](https://md.research.elamur.ai/free/en/papers/singh-2026-assamlegaltrans-parallel-corpus-benchmark-analysis/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Telem Joyson Singh, Hemanta Baruah, Sanasam Ranbir Singh, et al.*2026*
686. **[Automatic and Reliable Evaluation for Academic Caption-to-Figure Generation with LMMs](https://md.research.elamur.ai/free/en/papers/ye-2026-automatic-reliable-evaluation-academic-caption/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanghui Ye, Huan Zhao, Qin Zhu, et al.*2026*
687. **[AVA: Attentive VLM Agent for Mastering StarCraft II](https://md.research.elamur.ai/free/en/papers/ma-2026-ava-attentive-vlm-agent-mastering/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weiyu Ma, Yuqian Fu, Zecheng Zhang, et al.*2026*
688. **[Benchmarking and Mitigating the Impact of Noisy User Prompts in Medical VLMs via Cross-Modal Reflection](https://md.research.elamur.ai/free/en/papers/xue-2026-benchmarking-mitigating-impact-noisy-user/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani*2026*
689. **[Benchmarking Deflection and Hallucination in Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/moratelli-2026-benchmarking-deflection-hallucination-large-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nicholas Moratelli, Christopher Davis, Leonardo F. R. Ribeiro, et al.*2026*
690. **[Benchmarking Web Agent Safety under E-commerce Deceptive Interfaces](https://md.research.elamur.ai/free/en/papers/shi-2026-benchmarking-web-agent-safety-under/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zijing Shi, Meng Fang, Ling Chen*2026*
691. **[Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language Models](https://md.research.elamur.ai/free/en/papers/manduru-2026-beyond-bias-scores-unmasking-vacuous/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sumanth Manduru, Carlotta Domeniconi*2026*
692. **[Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching](https://md.research.elamur.ai/free/en/papers/lv-2026-beyond-query-memorization-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bo Lv, Jingbo Sun, Jianwei Lv, et al.*2026*
693. **[Beyond Single View: A Comprehensive Benchmark for Medical Multimodal Large Language Models on Multi-Image Understanding](https://md.research.elamur.ai/free/en/papers/xu-2026-beyond-single-view-comprehensive-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dexuan Xu, Yuan Jiayin, Jianing Wang, et al.*2026*
694. **[Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL](https://md.research.elamur.ai/free/en/papers/wang-2026-beyond-static-rules-automated-discovery/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanqing Wang, Yongdong Chi, Jian Yang, et al.*2026*
695. **[bLLeQA: Benchmarking LLMs for Grounded Legal Question-Answering in French and Dutch](https://md.research.elamur.ai/free/en/papers/banar-2026-blleqa-benchmarking-llms-grounded-legal/) [Workshop on Towards Knowledgeable Foundation Models](https://md.research.elamur.ai/free/en/venues/knowfm/)**Nikolay Banar, Ehsan Lotfi, Jens Van Nooten, et al.*2026*
696. **[Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation](https://md.research.elamur.ai/free/en/papers/miandoab-2026-breaking-benchmark-revealing-llm-bias/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kaveh Eskandari Miandoab, Mahammed Kamruzzaman, Arshia Gharooni, et al.*2026*
697. [**Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer Selection arXiv:2608.00207 · Findings of the Association for Computational Linguistics: EMNLP 2026**Chaimae Abouzahir, Musa Khan, Hala Ali-Hassan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/abouzahir-2026-bridging-english-arabic-medical-knowledge/)
698. **[Calibrating Inference Time Alignment with Sequence-level Risk Accumulation](https://md.research.elamur.ai/free/en/papers/tan-2026-calibrating-inference-time-alignment-sequence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shanwen Tan, Ziyang Dong, Wei Ju, et al.*2026*
699. **[CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations](https://md.research.elamur.ai/free/en/papers/yu-2026-camo-agentic-framework-automated-causal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiangning Yu, Yuwei Guo, Yuqi Hou, et al.*2026*
700. **[Can LLMs Learn to Map the World from Local Descriptions?](https://md.research.elamur.ai/free/en/papers/xia-2026-can-llms-learn-map-world/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sirui Xia, Aili Chen, Xintao Wang, et al.*2026*

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