---
title: "Papers of 2026 — page 40 — 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."
canonical: "https://research.elamur.ai/free/en/papers/2026/page/40/"
---
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# Papers of 2026 — page 40

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

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**[LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector Alignment](https://md.research.elamur.ai/free/en/papers/zhang-2026-llm-va-resolving-jailbreak-overrefusal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haonan Zhang, Dongxia Wang, Yi Liu, et al.*2026*

**[LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models](https://md.research.elamur.ai/free/en/papers/xuan-2026-llm-xtm-enhancing-cross-lingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minh Chu Xuan, Tien-Phat Nguyen, Linh Ngo Van, et al.*2026*

- [LLMBridge: An LLM Pipeline for End-to-end Referential Bridging Resolution in English arXiv:2605.29048](https://md.research.elamur.ai/free/en/papers/levine-2026-llmbridge-llm-pipeline-end-end/) — Lauren Levine, Amir Zeldes · 2026

**[LLMs are Brittle to Simple Code Transformations: Introducing CETBench – A Benchmark for Code-Equivalence Checking](https://md.research.elamur.ai/free/en/papers/oza-2026-llms-are-brittle-simple-code/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Neeva Oza, Ishaan Govil, Parul Gupta, et al.*2026*

**[LLMs as annotators of credibility assessment in Danish asylum decisions: evaluating classification performance and errors beyond aggregated metrics](https://md.research.elamur.ai/free/en/papers/renaux-2026-llms-as-annotators-credibility-assessment/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Galadrielle Humblot-Renaux, Mohammad N. S. Jahromi, Rohat Bakuri-Jørgensen, et al.*2026*

**[LLMs as Annotators: Evaluating Model–Human Alignment in Detecting Contentious Language in Historical Corpora](https://md.research.elamur.ai/free/en/papers/zhao-2026-llms-as-annotators-evaluating-model/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yahui Zhao, Clemencia Siro, Laura Hollink*2026*

**[LLMs as Cultural Archives: Cultural Commonsense Knowledge Graph Extraction](https://md.research.elamur.ai/free/en/papers/tonga-2026-llms-as-cultural-archives-cultural/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Junior Cedric Tonga, Chen Cecilia Liu, Iryna Gurevych, et al.*2026*

**[LLMs as Translator Training Partners: A Multi-Agent Approach](https://md.research.elamur.ai/free/en/papers/qian-2026-llms-as-translator-training-partners/) [Conference of the Association for Machine Translation in the Americas (AMTA)](https://md.research.elamur.ai/free/en/venues/amta/)**Ming Qian, Luyi Yang*2026*

**[LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks](https://md.research.elamur.ai/free/en/papers/lu-2026-llms-now-fine-tuning-later/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxuan Lu, Bingsheng Yao, Shao Zhang, et al.*2026*

**[LLMs Know More About Numbers than They Can Say](https://md.research.elamur.ai/free/en/papers/yuchi-2026-llms-know-more-about-numbers/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Fengting Yuchi, Li Du, Jason Eisner*2026*

**[LLMs Meet Isolation Kernel: Lightweight, Learning-free Binary Embeddings for Fast Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2026-llms-meet-isolation-kernel-lightweight/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhibo Zhang, Yang Xu, Kai Ming Ting, et al.*2026*

**[LLMs Out-of-the-Box Do Not Generate Context-Appropriate Word Order in Russian](https://md.research.elamur.ai/free/en/papers/shabaeva-2026-llms-out-box-do-not/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Alina Shabaeva, John Frederick Bailyn, Owen Rambow*2026*

- [LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation Steering arXiv:2607.06845](https://md.research.elamur.ai/free/en/papers/wu-2026-llms-silently-correct-african-american/) — Huan Wu, Ali Emami, Muhammad Furquan Hassan, et al. · 2026

**[LLMSurgeon: Diagnosing Data Mixture of Large Language Models](https://md.research.elamur.ai/free/en/papers/luo-2026-llmsurgeon-diagnosing-data-mixture-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yaxin Luo, Jiacheng Cui, Xiaohan Zhao, et al.*2026*

**[Localized Low-Rank Adaptation within Clustered Parameter Subspaces](https://md.research.elamur.ai/free/en/papers/xiong-2026-localized-low-rank-adaptation-within/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiahao Xiong, Yihe Liu, Xianming Hu, et al.*2026*

**[Locate and Explain: Joint Multimodal Emotion Cause Extraction and Summarization in Conversation](https://md.research.elamur.ai/free/en/papers/wan-2026-locate-explain-joint-multimodal-emotion/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jikun Wan, Chen Gong, Guohong Fu*2026*

**[LocRegen: Cost-Efficient Redundancy Removal in Multilingual E-commerce Titles with Small Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-locregen-cost-efficient-redundancy-removal/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Bryan Zhang, Stephan Walter, Luca Lomanto, et al.*2026*

**[Logic Matters in Lightweight Hallucination Classification for RAG System](https://md.research.elamur.ai/free/en/papers/yang-2026-logic-matters-lightweight-hallucination-classification/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ningyuan Yang, Kaizhu Huang*2026*

**[Logic-Level Evaluation of Logical Table-to-Text Generation](https://md.research.elamur.ai/free/en/papers/trigg-2026-logic-level-evaluation-logical-table/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Lena Trigg, Dean F. Hougen, Ahsan Bilal*2026*

**[Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments](https://md.research.elamur.ai/free/en/papers/mi-2026-logical-consistency-as-bridge-improving/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Mi, Qiang Sheng, Shaofei Wang, et al.*2026*

**[LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software](https://md.research.elamur.ai/free/en/papers/rashid-2026-logiceval-systematic-framework-evaluating-automated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Syed Md Mukit Rashid, Abdullah Al Ishtiaq, Kai Tu, et al.*2026*

**[LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory](https://md.research.elamur.ai/free/en/papers/zhang-2026-loka-conflict-aware-llm-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, et al.*2026*

**[Long-Term Sign Language Data Crowdsourcing Through Collaborative Lexicons](https://md.research.elamur.ai/free/en/papers/poitier-2026-long-term-sign-language-data/) [LREC Workshop on the Representation and Processing of Sign Languages: Language in Motion](https://md.research.elamur.ai/free/en/venues/signlang/)**Pierre Poitier, Jérôme Fink, Ariel Basso Madjoukeng, et al.*2026*

**[LongTailQA: Benchmarking LLMs and RAG Models on Disambiguated Long-Tail Entities](https://md.research.elamur.ai/free/en/papers/xion-2026-longtailqa-benchmarking-llms-rag-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**William Xion, Uwe Hadler, Tim Cofala, et al.*2026*

**[Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning](https://md.research.elamur.ai/free/en/papers/liu-2026-look-within-or-beyond-theoretical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**YongKang Liu, Xingle Xu, Ercong Nie, et al.*2026*

**[LoopCoder: Scaling Code Intelligence via Looped Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-loopcoder-scaling-code-intelligence-looped/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jian Yang, Wei Zhang, Shuyue Guo, et al.*2026*

**[LoRA Fine-Tuning of English–Norwegian NMT for the Oil & Gas Industry](https://md.research.elamur.ai/free/en/papers/yang-2026-lora-fine-tuning-english-norwegian/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Xiaojing Yang, Zhihan Li, Gege Sun, et al.*2026*

**[LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment](https://md.research.elamur.ai/free/en/papers/lu-2026-lore-enhancing-search-relevance-progressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenji Lu, Zhuo Chen, Hui Zhao, et al.*2026*

**[LoResMT 2026 Shared Task System Description](https://md.research.elamur.ai/free/en/papers/panov-2026-loresmt-2026-shared-task-system/) [Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)](https://md.research.elamur.ai/free/en/venues/loresmt/)**Vladimir Panov*2026*

**[Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMs](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2026-losing-our-tail-again-un/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Eva Vanmassenhove*2026*

**[Losses that Cook: Topological Optimal Transport for Structured Recipe Generation](https://md.research.elamur.ai/free/en/papers/ottoborgo-2026-losses-that-cook-topological-optimal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mattia Ottoborgo, Daniele Rege Cambrin, Paolo Garza*2026*

**[Lost in Activations: A Neuron-level Analysis of Encoders for Cross-Lingual Emotion Detection](https://md.research.elamur.ai/free/en/papers/singh-2026-lost-activations-neuron-level-analysis/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pranaydeep Singh, Orphee De Clercq, Els Lefever*2026*

**[Lost in Expression: Diagnosing Systemic Challenges with Non-Manual Generalization in Sign Language Understanding Tasks](https://md.research.elamur.ai/free/en/papers/sazonov-2026-lost-expression-diagnosing-systemic-challenges/) [LREC Workshop on the Representation and Processing of Sign Languages: Language in Motion](https://md.research.elamur.ai/free/en/venues/signlang/)**Dmitriy Sazonov, Sevgi Z. Gurbuz, Evie A. Malaia*2026*

**[Lost in Quantization: Activation Outliers Explain Language-Specific FP8 Sensitivity in Llama-3](https://md.research.elamur.ai/free/en/papers/silva-2026-lost-quantization-activation-outliers-explain/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Guilherme Silva, Pedro Silva, Matheus Peixoto, et al.*2026*

**[Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models](https://md.research.elamur.ai/free/en/papers/ok-2026-lost-prompt-order-revealing-limitations/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hyunjong Ok, Jaeho Lee*2026*

**[Lost in Translation, and Found: Detecting and Interpreting Translation Effects](https://md.research.elamur.ai/free/en/papers/wein-2026-lost-translation-found-detecting-interpreting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shira Wein, Anna Serbina, Jiyuan Ji, et al.*2026*

**[Lost in Translation: Repurposing semantic similarity benchmarks for evaluating lexical-semantic consistency in LLM-based machine translation](https://md.research.elamur.ai/free/en/papers/ye-2026-lost-translation-repurposing-semantic-similarity/) [Workshop on the Role of Resources in the Age of Large Language Models](https://md.research.elamur.ai/free/en/venues/resourceful/)**Quin Ye, Jelke Bloem*2026*

**[LOTUS: Evolving Multimodal Unlearning via Hyperbolic Entailment and Lorentz Transport](https://md.research.elamur.ai/free/en/papers/wang-2026-lotus-evolving-multimodal-unlearning-hyperbolic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zekun Wang, Jingjie Zeng, Yingxu Li, et al.*2026*

**[LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-lovec-reinforcement-learning-better-verbalized/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Caiqi Zhang, Xiaochen Zhu, Chengzu Li, et al.*2026*

**[Low-Rank Compression of Language Models via Differentiable Rank Selection](https://md.research.elamur.ai/free/en/papers/sundrani-2026-low-rank-compression-language-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sidhant Sundrani, Francesco Tudisco, Pasquale Minervini*2026*

**[LR-DWM: Efficient Watermarking for Diffusion Language Models](https://md.research.elamur.ai/free/en/papers/raban-2026-lr-dwm-efficient-watermarking-diffusion/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ofek Raban, Gal Chechik, Ethan Fetaya*2026*

**[LST at MWE-2026 AdMIRe 2: Advancing Multimodal Idiomaticity Representation](https://md.research.elamur.ai/free/en/papers/qiu-2026-lst-mwe-2026-admire-2/) [Workshop on Multiword Expressions (MWE)](https://md.research.elamur.ai/free/en/venues/mwe/)**Le Qiu, Yu-Yin Hsu, Emmanuele Chersoni*2026*

**[ltzGLUE: Luxembourgish General Language Understanding Evaluation](https://md.research.elamur.ai/free/en/papers/plum-2026-ltzglue-luxembourgish-general-language-understanding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Alistair Plum, Felicia Körner, Anne-Marie Lutgen, et al.*2026*

**[LUMINA: Long-horizon Understanding for Multi-turn Interactive Agents](https://md.research.elamur.ai/free/en/papers/rakhsha-2026-lumina-long-horizon-understanding-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Amin Rakhsha, Thomas Hehn, Pietro Mazzaglia, et al.*2026*

**[Lunar-Bench: Towards Evaluating Task-Oriented Reasoning of LLMs in Lunar Exploration Scenarios](https://md.research.elamur.ai/free/en/papers/xiao-2026-lunar-bench-evaluating-task-oriented/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xin-Yu Xiao, Ye Tian, Erwei Yin, et al.*2026*

- [LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question Answering arXiv:2607.02763](https://md.research.elamur.ai/free/en/papers/hosseini-kivanani-2026-luxsqa-ask-me-luxembourgish-tts/) — Nina Hosseini-Kivanani, Marco Matassoni, Alessio Brutti · 2026
- [LV-ROVER-MLT: Low-Resource Maltese OCR by Synthetic Fine-Tuning and Multi-Stream Arbitration arXiv:2607.00250](https://md.research.elamur.ai/free/en/papers/darmanin-2026-lv-rover-mlt-low-resource/) — Adam Darmanin · 2026

**[LVLM Optimization for Ancient Chinese Book Image Analysis with Task-specific Augmentation and Instruction Tuning](https://md.research.elamur.ai/free/en/papers/xia-2026-lvlm-optimization-ancient-chinese-book/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Tian Xia, Yulong Liu, Yilin Wang, et al.*2026*

- [LëtzCross: A Cross-Lingual Page-Level Benchmark for Multimodal Retrieval over Luxembourgish Documents arXiv:2608.21714](https://md.research.elamur.ai/free/en/papers/bachyr-2026-l-etzcross-cross-lingual-page/) — Omar El Bachyr, Fred Philippy, Laura Maria Bernardy, et al. · 2026

**[Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decoding](https://md.research.elamur.ai/free/en/papers/alali-2026-maastricht-university-amiya-adapting-llms/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Abdulhai Alali, Abderrahmane Issam*2026*

**[MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits](https://md.research.elamur.ai/free/en/papers/xiang-2026-mab-dqa-addressing-query-aspect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Xiang, Yunshan Ma, Xiaoyu Du, et al.*2026*

- [Machine Translation between English and Syriac (East Syriac Dialect) using Statistical Machine Learning](https://md.research.elamur.ai/free/en/papers/sliwa-2026-machine-translation-between-english-syriac/) — Hadiana Sliwa, Hossein Hassani · Aramaic

**[Machine translation Evaluation Eng-Thai MQM Ranking dataset](https://md.research.elamur.ai/free/en/papers/phuangrot-2026-machine-translation-evaluation-eng-thai/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Phichet Phuangrot, Natdanai Trintawat, Kanawat Vilasri, et al.*2026*

**[Machine Translation for Low-Resource Languages through Monolingual Data and LLM: A Case Study of English-to-Basque](https://md.research.elamur.ai/free/en/papers/luu-2026-machine-translation-low-resource-languages/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Nam Luu, Aitor Soroa, German Rigau, et al.*2026*

**[MADRA: Multi-Agent Debate for Risk-Aware Embodied Planning](https://md.research.elamur.ai/free/en/papers/wang-2026-madra-multi-agent-debate-risk/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**JunJian Wang, Lidan Zhao, Xi Sheryl Zhang*2026*

**[MAGIC: Deep Geometric Evolution with Structural Consensus for Temporal Knowledge Graph Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2026-magic-deep-geometric-evolution-structural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chengao Liu, Yuan Li, Yingze Wang, et al.*2026*

**[MAGNET: Towards Adaptive GUI Agents with Memory-Driven Knowledge Evolution](https://md.research.elamur.ai/free/en/papers/sun-2026-magnet-adaptive-gui-agents-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Libo Sun, Jiwen Zhang, Siyuan Wang, et al.*2026*

**[MAKI: Multi-layer Aligned Knowledge Injection for Structure-aware Knowledge Graph Completion with Large Language Models](https://md.research.elamur.ai/free/en/papers/xie-2026-maki-multi-layer-aligned-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiwen Xie, Xin Wang, Guangyou Zhou, et al.*2026*

**[Making Jobs Accessible through AI-supported Easy Language Translation](https://md.research.elamur.ai/free/en/papers/merkel-2026-making-jobs-accessible-through-ai/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Fabian Merkel, Marco Baumgartner, Athanasios Breskas, et al.*2026*

**[Making Synthetic Questions More Child-Directed: Prompting and Sampling Effects](https://md.research.elamur.ai/free/en/papers/poh-2026-making-synthetic-questions-more-child/) [Workshop on Computational Developmental Linguistics (CDL)](https://md.research.elamur.ai/free/en/venues/cdl/)**Whitney Poh, Michael Tombolini, Libby Barak*2026*

- [MameLoshnLM: Yiddish Language Model and Evaluation Benchmark arXiv:2608.05850 · Proceedings of the Third Conference on Language Modeling (COLM 2026), 2026](https://md.research.elamur.ai/free/en/papers/katz-2026-mameloshnlm-yiddish-language-model-evaluation/) — Uri Katz, Omer Goldman, Tomasz Limisiewicz, et al. · 2026

**[Managing Growth in a National Corpus: The Hungarian National Corpus 3.0 (MNSZ3)](https://md.research.elamur.ai/free/en/papers/nagy-2026-managing-growth-national-corpus-hungarian/) [Workshop on Challenges in the Management of Large Corpora](https://md.research.elamur.ai/free/en/venues/cmlc/)**Noémi Ligeti-Nagy, Enikő Héja, Ágnes Bánfi, et al.*2026*

**[ManCC: A Task-Anchored Benchmark for Manchu–Classical Chinese Cross-Lingual Modeling](https://md.research.elamur.ai/free/en/papers/wang-2026-mancc-task-anchored-benchmark-manchu/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Meiqi Wang, Xiaoxin Sun, Dongjie Wang, et al.*2026*

**[Mango: Multi-Agent Web Navigation via Global-View Optimization](https://md.research.elamur.ai/free/en/papers/tong-2026-mango-multi-agent-web-navigation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weixi Tong, Yifeng Di, Tianyi Zhang*2026*

**[Mano_sub@DravidianLangTech 2026: Article-Aware Batching and Discriminative Fine-Tuning of MuRIL for Telugu Prompt-Style Classification](https://md.research.elamur.ai/free/en/papers/madhurapantula-2026-mano-sub-dravidianlangtech-2026-article/) [Workshop on Speech, Vision, and Language Technologies for Dravidian Languages](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/)**Manohar Sita Rama Madhurapantula, Seshu Babu Pulagara*2026*

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**[Mapping the Circumplex of Affect: Geometric Analysis of Emotion Representations via Hyperspherical Contrastive Learning](https://md.research.elamur.ai/free/en/papers/yamauchi-2026-mapping-circumplex-affect-geometric-analysis/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yusuke Yamauchi, Akiko Aizawa*2026*

**[Mapping the Course for Prompt-based Structured Prediction](https://md.research.elamur.ai/free/en/papers/pauk-2026-mapping-course-prompt-based-structured/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Matt Pauk, Maria Leonor Pacheco*2026*

**[MAQuA: Multi-outcome Adaptive Question-Asking for Mental Health using Item Response Theory](https://md.research.elamur.ai/free/en/papers/varadarajan-2026-maqua-multi-outcome-adaptive-question/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Vasudha Varadarajan, Hui Xu, Rebecca Astrid Böhme, et al.*2026*

**[MARCH: Evaluating the Intersection of Ambiguity Interpretation and Multi-hop Inference](https://md.research.elamur.ai/free/en/papers/park-2026-march-evaluating-intersection-ambiguity-interpretation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jeonghyun Park, Ingeol Baek, Seunghyun Yoon, et al.*2026*

**[MARD: Module-Aware Reasoning Distillation for Language Models with Adaptive Supervision](https://md.research.elamur.ai/free/en/papers/yang-2026-mard-module-aware-reasoning-distillation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqi Yang, Jianjun Li, Zhibo Zhang, et al.*2026*

**[Market-Bench: Benchmarking Large Language Models on Economic and Trade Competition](https://md.research.elamur.ai/free/en/papers/zheng-2026-market-bench-benchmarking-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yushuo Zheng, Huiyu Duan, Zicheng Zhang, et al.*2026*

**[Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting](https://md.research.elamur.ai/free/en/papers/sun-2026-markovian-linguistic-temporal-bridge-unlocking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Siming Sun, Kai Zhang, Xuejun Jiang, et al.*2026*

**[MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation](https://md.research.elamur.ai/free/en/papers/wang-2026-mars-ra-rank-aggregation-credit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dawei Wang, Di Zhao, Xinyuan Liu, et al.*2026*

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**[MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description Scenarios](https://md.research.elamur.ai/free/en/papers/yan-2026-masa-novel-multimodal-foundation-model/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Bi-Cheng Yan, Fu-An Chao, Hong-Yun H.Y. Lin, et al.*2026*

**[MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing](https://md.research.elamur.ai/free/en/papers/liu-2026-masfactory-graph-centric-framework-orchestrating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Liu, Jinxuan Cai, Yishen Li, et al.*2026*

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**[MaskedVerbalizer: Automatic Verbalizer Construction for Few-Shot Text Classification in Low-Resource Right-to-Left Languages](https://md.research.elamur.ai/free/en/papers/ullah-2026-maskedverbalizer-automatic-verbalizer-construction-few/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Faizad Ullah, Furqan Sikandar, Areeba Waqar, et al.*2026*

**[MaskLoRA: Low-Rank Subspace–Induced Token Masking for Efficient and Faithful Language Models](https://md.research.elamur.ai/free/en/papers/rafiuddin-2026-masklora-low-rank-subspace-induced/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rifat Rafiuddin*2026*

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**[Masrad: Arabic Terminology Management Corpora with Semi-Automatic Construction](https://md.research.elamur.ai/free/en/papers/nasser-2026-masrad-arabic-terminology-management-corpora/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mahdi Nasser, Laura Sayah, Fadi Zaraket*2026*

**[MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/xiao-2026-mass-rag-multi-agent-synthesis/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingchen Xiao, Heyan Huang, Runheng Liu, et al.*2026*

**[MASS: Deep Research for Social Sciences with Memory-Augmented Social Simulation](https://md.research.elamur.ai/free/en/papers/liu-2026-mass-deep-research-social-sciences/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yongrui Liu, Deyi Xiong*2026*

**[MAST: A Multi-View Alignment Strategy for Optimal Transport-Based Contrastive Clustering of Short Text](https://md.research.elamur.ai/free/en/papers/zheng-2026-mast-multi-view-alignment-strategy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zijian Zheng, Yonghe Lu*2026*

**[MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers](https://md.research.elamur.ai/free/en/papers/ma-2026-match-modulating-attention-context-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linrui Ma, Chun Hei Lo, Xinyu Wang, et al.*2026*

**[MATH-IDN: A Multilingual Mathematical Problem Solving Dataset Featuring Local Languages in Indonesia](https://md.research.elamur.ai/free/en/papers/xiao-2026-math-idn-multilingual-mathematical-problem/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiao Xiao, Iftitahu Ni'mah, Yuyun Wabula, et al.*2026*

**[MathSight: A Benchmark Exploring Have Vision-Language Models Really Seen in University-Level Mathematical Reasoning?](https://md.research.elamur.ai/free/en/papers/wang-2026-mathsight-benchmark-exploring-have-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuandong Wang, Yao Cui, Yuxin Zhao, et al.*2026*

**[MaTIAS – Machine Translation to Inform Asylum Seekers: final results](https://md.research.elamur.ai/free/en/papers/wilde-2026-matias-machine-translation-inform-asylum/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**July De Wilde, Anaïs Wouters, Arda Tezcan, et al.*2026*

**[MavenCoder: Competitive Code Generation via Model Adaptive Planning Strategies and Multi-Perspective Verification Enhancement](https://md.research.elamur.ai/free/en/papers/xu-2026-mavencoder-competitive-code-generation-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**ZhenChun Xu, Yi Cai, Dajun Zheng, et al.*2026*

**[MAX-EVAL-11: A Large Scale Benchmark for Evaluating Large Language Models on Full-Spectrum ICD-11 Medical Coding](https://md.research.elamur.ai/free/en/papers/singh-2026-max-eval-11-large-scale/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Ujjwal Singh, Sarthak Deshwal, Nitish Dube, et al.*2026*

**[MAXS: Meta-Adaptive Exploration with LLM Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-maxs-meta-adaptive-exploration-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jian Zhang, Zhiyuan Wang, Zhangqi Wang, et al.*2026*

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**[MA²P: A Meta-Cognitive Autonomous Intelligent Agents Framework for Complex Persuasion](https://md.research.elamur.ai/free/en/papers/zhang-2026-ma-2-p-meta-cognitive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dingyi Zhang, Ziqing Zhuang, Linhai Zhang, et al.*2026*

**[mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code](https://md.research.elamur.ai/free/en/papers/skurla-2026-mcdok-semeval-2026-task-13/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Adam Skurla, Dominik Macko, Jakub Simko*2026*

**[MCLE-Mol: Empowering LLM with Molecular Comprehension and Low-Cost Continual Evolution for Interpretable Property Prediction](https://md.research.elamur.ai/free/en/papers/pu-2026-mcle-mol-empowering-llm-molecular/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhili Pu, Lantian Zhang, Hao Duan, et al.*2026*

**[McMaster NLP at SemEval-2026 Task 2: A Lightweight Multi-Feature System for Predicting Emotional Valence and Arousal over Time](https://md.research.elamur.ai/free/en/papers/zhang-2026-mcmaster-nlp-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Hongyi Zhang, Daniel Hu, Allison Lahnala*2026*

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