---
title: "Papers of 2026 — page 19 — 5,636 papers, the most cited first"
description: "Papers of 2026: 5,636 papers of the Elamur Research library — what each work is about in our own words, its ideas, references and who cites it."
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# Papers of 2026 — page 19

5,636 papers · [papers of all years](https://md.research.elamur.ai/free/en/papers/)

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**[Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants](https://md.research.elamur.ai/free/en/papers/ranjit-2026-uncovering-intervention-opportunities-suicide-prevention/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jaspreet Ranjit, Hyundong Justin Cho, Claire J. Smerdon, et al.*2026 · 1 citation*

**[Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-understanding-mitigating-political-stance-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiayi Zhang, Shu Yang, Junchao Wu, et al.*2026 · 1 citation*

**[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*

**[Unibuc-NLP at SemEval-2026 Task 10: Unmasking Conspiracies with Pre-Trained Language Models](https://md.research.elamur.ai/free/en/papers/marchitan-2026-unibuc-nlp-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Teodor-George Marchitan, Liviu Dinu*2026 · 1 citation*

**[UniCreative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wei-2026-unicreative-unifying-long-form-logic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaolong Wei, Zerun Zhu, Simin Niu, et al.*2026 · 1 citation*

**[UniSonate: A Unified Model for Speech, Music, and Sound Effect Generation with Text Instructions](https://md.research.elamur.ai/free/en/papers/qiang-2026-unisonate-unified-model-speech-music/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chunyu Qiang, Xiaopeng Wang, Kang Yin, et al.*2026 · 1 citation*

**[UniTor at Cruciverb-IT: Retrieval-Augmented Two-Step Reasoning for Italian Crossword Clue Answering](https://md.research.elamur.ai/free/en/papers/shcherbakov-2026-unitor-cruciverb-it-retrieval-augmented/) [Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop](https://md.research.elamur.ai/free/en/venues/evalita/)**Andriy Shcherbakov, Danilo Croce, Roberto Basili*2026 · 1 citation*

**[Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats](https://md.research.elamur.ai/free/en/papers/zhao-2026-unleashing-low-bit-inference-ascend/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengxiang Zhao, Hui-Ling Zhen, Xing Li, et al.*2026 · 1 citation*

**[Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2026-unleashing-unseen-harnessing-benign-datasets/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wei Zhao, Zhe Li, Yige Li, et al.*2026 · 1 citation*

**[Unlocking Large Audio-Language Models for Interactive Language Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-unlocking-large-audio-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongfu Liu, Zhouying Cui, Xiangming Gu, et al.*2026 · 1 citation*

**[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*

**[Unsupervised Labelling of Mutation Triggers in Welsh](https://md.research.elamur.ai/free/en/papers/rolon-2026-unsupervised-labelling-mutation-triggers-welsh/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nicolás Gutiérrez-Rolón, Fernando Alva-Manchego*2026 · 1 citation*

**[Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction](https://md.research.elamur.ai/free/en/papers/zhang-2026-unveiling-deficiencies-pre-trained-text/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chong Zhang, Yixi Zhao, Yulu Xie, et al.*2026 · 1 citation*

**[uogal at BEA 2026 Shared Task 1: Ensemble of Multilingual Encoders with NMT Augmentation for L1-Aware Vocabulary Difficulty Prediction](https://md.research.elamur.ai/free/en/papers/stearns-2026-uogal-bea-2026-shared-task/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Bernardo Stearns, John P. McCrae, Thomas Gaillat, et al.*2026 · 1 citation*

**[UppsalaNLP at EvaLatin 2026: Multilingual parsing for Latin](https://md.research.elamur.ai/free/en/papers/stymne-2026-uppsalanlp-evalatin-2026-multilingual-parsing/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Sara Stymne*2026 · 1 citation*

**[UPR at SemEval-2026 Task 9: Polarization Detection in Urdu with Language-Specific Transformer and Data Augmentation](https://md.research.elamur.ai/free/en/papers/wazir-2026-upr-semeval-2026-task-9/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Alishba Wazir, Muhammad Asad Khan, Junaid Rashid, et al.*2026 · 1 citation*

**[URJC-Team at #SMM4H-HeaRD 2026: TNM Stage Extraction with a Regex-LLM Workflow](https://md.research.elamur.ai/free/en/papers/madrueno-2026-urjc-team-smm4h-heard-2026/) [Social Media Mining for Health Research and Applications Workshop and Shared Tasks](https://md.research.elamur.ai/free/en/venues/smm4h/)**Natalia Madrueño, Jose Walter Hernández Pérez, Rubén R. Fernández, et al.*2026 · 1 citation*

**[USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELS](https://md.research.elamur.ai/free/en/papers/zheng-2026-usb-comprehensive-unified-safety-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Baolin Zheng, Guanlin Chen, Qingyang Teng, et al.*2026 · 1 citation*

**[User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarios](https://md.research.elamur.ai/free/en/papers/wu-2026-user-perceptions-vs-proxy-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyuan Wu, Roshni Kaushik, Wenkai Li, et al.*2026 · 1 citation*

**[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*

**[UTokyo Tsuruoka Lab at SemEval-2026 Task 9: Efficient Single Forward Pass Inference for Multi-Label Polarization Classification](https://md.research.elamur.ai/free/en/papers/tangkulung-2026-utokyo-tsuruoka-lab-semeval-2026/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Howard Tangkulung, Yoshimasa Tsuruoka*2026 · 1 citation*

**[UTRAG at SemEval-2026 Task 8: History-Aware Query Rewriting and LoRA-Finetuned Generation for Multi-Turn RAG](https://md.research.elamur.ai/free/en/papers/zhou-2026-utrag-semeval-2026-task-8/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Ke Zhou, Yi-Shan Lin*2026 · 1 citation*

**[uva-irlab-conv at SemEval-2026 Task 8: Multi-Turn RAG with Learned Sparse Retrieval and Listwise Reranking](https://md.research.elamur.ai/free/en/papers/lupart-2026-uva-irlab-conv-semeval-2026/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Simon Lupart, Kidist Mekonnen, Zahra Abbasiantaeb, et al.*2026 · 1 citation*

**[V-GameGym: Visual Game Generation for Code Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-v-gamegym-visual-game-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wei Zhang, Jian Yang, Renshuai Tao, et al.*2026 · 1 citation*

**[VARH-AI at SemEval-2026 Task 10: Exploiting Architectural Diversity with Transformer-SSM Ensembles and Confidence-Based Iterative Refinement for Conspiracy Detection](https://md.research.elamur.ai/free/en/papers/solanki-2026-varh-ai-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Hritav Solanki, Shubham Sharma, Manish Prasad, et al.*2026 · 1 citation*

**[VecCISC: Improving Confidence-Informed Self-Consistency with Reasoning Trace Clustering and Candidate Answer Selection](https://md.research.elamur.ai/free/en/papers/petullo-2026-veccisc-improving-confidence-informed-self/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**James Petullo, Sonny George, Dylan Cashman, et al.*2026 · 1 citation*

**[Verification-Aware Planning for Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/xu-2026-verification-aware-planning-multi-agent/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tianyang Xu, Dan Zhang, Kushan Mitra, et al.*2026 · 1 citation*

**[VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation](https://md.research.elamur.ai/free/en/papers/tran-2026-vietmix-naturally-occurring-parallel-corpus/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hieu Tran, Phuong-Anh Nguyen-Le, Huy Nghiem, et al.*2026 · 1 citation*

**[VISHC at PsyDefDetect: Mitigating Data Scarcity in Psychological Defense Classification with Context-Aware Synthetic Augmentation](https://md.research.elamur.ai/free/en/papers/vu-2026-vishc-psydefdetect-mitigating-data-scarcity/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Hoang-Thuy-Duong Vu, Quoc-Cuong Pham, Huy-Hieu Pham*2026 · 1 citation*

**[Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering](https://md.research.elamur.ai/free/en/papers/liu-2026-vision-language-introspection-mitigating-overconfident/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuliang Liu, Songbo Yang, Dong Fang, et al.*2026 · 1 citation*

**[VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval](https://md.research.elamur.ai/free/en/papers/wu-2026-visret-visualization-improves-knowledge-intensive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Di Wu, Yixin Wan, Kai-Wei Chang*2026 · 1 citation*

**[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*

**[Visual Inception: Compromising Long-term Planning in Agentic Recommenders via Multimodal Memory Poisoning](https://md.research.elamur.ai/free/en/papers/qian-2026-visual-inception-compromising-long-term/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiachen Qian*2026 · 1 citation*

**[Visually-Guided Policy Optimization for Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-visually-guided-policy-optimization-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zengbin Wang, Feng Xiong, Liang Lin, et al.*2026 · 1 citation*

**[VLN-NF: Feasibility-Aware Vision-and-Language Navigation with False-Premise Instructions](https://md.research.elamur.ai/free/en/papers/su-2026-vln-nf-feasibility-aware-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hung-Ting Su, Ting-Jun Wang, Jia-Fong Yeh, et al.*2026 · 1 citation*

**[Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic](https://md.research.elamur.ai/free/en/papers/reif-2026-vocab-diet-reshaping-vocabulary-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuval Reif, Guy Kaplan, Roy Schwartz*2026 · 1 citation*

**[VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-vocabtailor-dynamic-vocabulary-selection-downstream/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanling Zhang, Yayu Zhou, Tongcheng Fang, et al.*2026 · 1 citation*

- [VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling](https://md.research.elamur.ai/free/en/papers/marmor-2026-voxknesset-large-scale-longitudinal-hebrew/) — Yanir Marmor; Arad Zulti; David Krongauz; Adam Gabet; Yoad Snapir; Yair Lifshitz;, Eran Segal · Modern Hebrew · 1 citation

**[VVTE at ATE-IT: From Candidates to Terms: Hybrid Italian ATE with Dependency Heuristics, Gemini, and Random Forest Filtering](https://md.research.elamur.ai/free/en/papers/vandervoort-2026-vvte-ate-it-candidates-terms/) [Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop](https://md.research.elamur.ai/free/en/venues/evalita/)**Valentine G. L. Vandervoort, Giorgio Maria Di Nunzio*2026 · 1 citation*

**[Wave2Word@DravidianLangTech 2026: WhisTam: A unified framework for dialect based Tamil speech recognition and classification](https://md.research.elamur.ai/free/en/papers/naswan-2026-wave2word-dravidianlangtech-2026-whistam-unified/) [Workshop on Speech, Vision, and Language Technologies for Dravidian Languages](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/)**Ruwad Naswan, Shadab Tanjeed Ahmad*2026 · 1 citation*

**[Weakly Supervised Named Entity Recognition for Historical Texts](https://md.research.elamur.ai/free/en/papers/sorbi-2026-weakly-supervised-named-entity-recognition/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Marco Sorbi, Laurent Moccozet, Stephane Marchand-Maillet*2026 · 1 citation*

**[WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models](https://md.research.elamur.ai/free/en/papers/wang-2026-webaggregator-enhancing-compositional-reasoning-capabilities/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Wang, Ce Zhang, Jun-Yu Ma, et al.*2026 · 1 citation*

**[WebRollback: Enhancing Web Agents with Explicit Rollback Mechanisms](https://md.research.elamur.ai/free/en/papers/zhang-2026-webrollback-enhancing-web-agents-explicit/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zhisong Zhang, Tianqing Fang, Kaixin Ma, et al.*2026 · 1 citation*

**[What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap Dependencies](https://md.research.elamur.ai/free/en/papers/zhou-2026-what-exactly-do-children-receive/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Zhenghao Zhou, William Dai, Maya Viswanathan, et al.*2026 · 1 citation*

**[What Factors Affect LLMs and RLLMs in Financial Question Answering?](https://md.research.elamur.ai/free/en/papers/wang-2026-what-factors-affect-llms-rllms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peng Wang, Xuesi Hu, Jiageng Wu, et al.*2026 · 1 citation*

**[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*

**[What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context](https://md.research.elamur.ai/free/en/papers/ouyang-2026-what-makes-llms-effective-sequential/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhongyu Ouyang, Qianlong Wen, Chunhui Zhang, et al.*2026 · 1 citation*

**[What Matters to an LLM? Behavioral and Computational Evidences from Summarization](https://md.research.elamur.ai/free/en/papers/zhou-2026-what-matters-llm-behavioral-computational/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yongxin Zhou, Changshun Wu, Philippe Mulhem, et al.*2026 · 1 citation*

**[When AI Writes, Whose Voice Remains? Quantifying Cultural Marker Erasure Across World English Varieties in Large Language Models](https://md.research.elamur.ai/free/en/papers/navneet-2026-ai-writes-whose-voice-remains/) [Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA)](https://md.research.elamur.ai/free/en/venues/extended-abstracts-of-the-chi-conference-on-human-factors-in-computing-systems/)**Satyam Kumar Navneet, Joydeep Chandra, Yong Zhang*2026 · 1 citation*

**[When Consistency Becomes Bias: Interviewer Effects in Semi-Structured Clinical Interviews](https://md.research.elamur.ai/free/en/papers/watawana-2026-when-consistency-becomes-bias-interviewer/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hasindri Watawana, Sergio Burdisso, Diego A. Moreno-Galván, et al.*2026 · 1 citation*

**[When Do Language Models Endorse Limitations on Human Rights Principles?](https://md.research.elamur.ai/free/en/papers/samway-2026-when-do-language-models-endorse/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Keenan Samway, Miu Nicole Takagi, Rada Mihalcea, et al.*2026 · 1 citation*

**[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*

**[When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life](https://md.research.elamur.ai/free/en/papers/lou-2026-when-helpers-become-hazards-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinyue Lou, Xu Jinan, Jingyi Yin, et al.*2026 · 1 citation*

**[When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning](https://md.research.elamur.ai/free/en/papers/xiang-2026-when-is-thinking-enough-early/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Xiang, Yixin Ji, Ruotao Xu, et al.*2026 · 1 citation*

**[When LLMs Annotate: Reliability Challenges in Low-Resource NLI](https://md.research.elamur.ai/free/en/papers/panahi-2026-when-llms-annotate-reliability-challenges/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Solmaz Panahi, John Kelleher, Vasudevan Nedumpozhimana*2026 · 1 citation*

**[When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/mao-2026-when-models-outthink-their-safety/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingzhi Mao, Chunkang Zhang, Junxiang Wang, et al.*2026 · 1 citation*

**[When Retrieval Doesn't Help: A Large-Scale Study of Biomedical RAG](https://md.research.elamur.ai/free/en/papers/nourbakhsh-2026-when-retrieval-doesn-t-help/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Erfan Nourbakhsh, Rocky Slavin, Ke Yang, et al.*2026 · 1 citation*

**[When Retrieval Hurts: Evidence Utilization, Script Fidelity, and Knowledge Conflicts in Multilingual RAG](https://md.research.elamur.ai/free/en/papers/mohan-2026-when-retrieval-hurts-evidence-utilization/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Varalekshmy M Mohan, Swathi Jayakumar, Gadha Saji Menon, et al.*2026 · 1 citation*

**[When Tasks Share Structure: A Comparative Study of Training Strategies for Generative Event Extraction](https://md.research.elamur.ai/free/en/papers/ravikumar-2026-when-tasks-share-structure-comparative/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Rishi Ravikumar, Riza Batista-Navarro*2026 · 1 citation*

**[When Translations Surprise: Human Awareness of Predictability in Translations](https://md.research.elamur.ai/free/en/papers/romero-2026-when-translations-surprise-human-awareness/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Cristian García-Romero, Miquel Esplà-Gomis, Felipe Sanchez-Martinez*2026 · 1 citation*

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