---
title: "Papers of 2026 — page 42 — 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/42/"
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# Papers of 2026 — page 42

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

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**[Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling](https://md.research.elamur.ai/free/en/papers/liu-2026-mitigating-judgment-preference-bias-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuliang Liu, Zhipeng Xu, Zhenghao Liu, et al.*2026*

**[Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-position-bias-transformers-layer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenghua Wang, Yiran Ding, Changze Lv, et al.*2026*

**[Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO](https://md.research.elamur.ai/free/en/papers/zheng-2026-mitigating-selection-bias-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinquan Zheng, Jia Yuan, Jiacheng Yao, et al.*2026*

**[Mitigating Structural Knowledge Collapse in Domain-Specific LLMs via Morpheme-Aware KV-Aggregation](https://md.research.elamur.ai/free/en/papers/si-2026-mitigating-structural-knowledge-collapse-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxuan Si, Zheqi Lv, Chengxi Zang, et al.*2026*

**[Mitigating Tokenization-Induced Distance Distortion in Long-Context Multilingual Machine Translation](https://md.research.elamur.ai/free/en/papers/selialia-2026-mitigating-tokenization-induced-distance-distortion/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Khotso Selialia, Antoine Nzeyimana, Fatima M. Anwar*2026*

**[MIUN BiasPatrol at SemEval-2026 Task 13: Why TF-IDF can Beat Transformers for OOD Code Detection](https://md.research.elamur.ai/free/en/papers/sahlen-2026-miun-biaspatrol-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Loviza Sahlen, Thomas Springfeldt, Mehwish Fatima, et al.*2026*

**[Mixed-Initiative Dialogue Management for Human-Virtual Agents Interaction in Forum Theatre Inspired Training](https://md.research.elamur.ai/free/en/papers/otofa-2026-mixed-initiative-dialogue-management-human/) [International Workshop on Spoken Dialogue System Technology](https://md.research.elamur.ai/free/en/venues/iwsds/)**Samuel Otofa, Yacine Zerenini, Frederic Bechet, et al.*2026*

**[Mixed-Policy GRPO for Text-to-SQL with Off-Policy Data Generation](https://md.research.elamur.ai/free/en/papers/sterbentz-2026-mixed-policy-grpo-text-sql/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Marko Sterbentz, Michael Glass, Nhan H Pham, et al.*2026*

**[Mixture of Heterogeneous Grouped Experts for Language Modeling](https://md.research.elamur.ai/free/en/papers/ma-2026-mixture-heterogeneous-grouped-experts-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhicheng Ma, Xiang Liu, Zhaoxiang Liu, et al.*2026*

**[Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding](https://md.research.elamur.ai/free/en/papers/zhou-2026-mixture-minds-multi-agent-reinforcement/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhang Zhou, Mingrui Zhang, Ke Li, et al.*2026*

- [Mizan: A National Benchmark for Evaluating Large Language Models on Iraqi Arabic and the Iraqi Civic Context arXiv:2609.13980](https://md.research.elamur.ai/free/en/papers/alseelawi-2026-mizan-national-benchmark-evaluating-large/) — Nawar S. Alseelawi, Mustafa S. Aljumaily · 2026

**[MizanQA: A Benchmark for Multi-Answer Moroccan Legal QA](https://md.research.elamur.ai/free/en/papers/bahaj-2026-mizanqa-benchmark-multi-answer-moroccan/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Adil Bahaj, Mounir Ghogho*2026*

**[MLingualFC: Evaluating Jailbreak Vulnerabilities in Multilingual Vision-Language Models](https://md.research.elamur.ai/free/en/papers/makwana-2026-mlingualfc-evaluating-jailbreak-vulnerabilities-multilingual/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Rishabh Makwana, Mamta Mamta, Deeksha Varshney, et al.*2026*

**[mllm-shap: A Shapley Value Explainability Platform for Text-Audio Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/muszynski-2026-mllm-shap-shapley-value-explainability/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jakub Muszyński, Paweł Pozorski, Maria Ganzha*2026*

**[MM-ShiftKV: Decode-Aware Prefill-Stage KV Selection for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/shu-2026-mm-shiftkv-decode-aware-prefill/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinsong Shu, Chenyang Wu, Zhongle Xie, et al.*2026*

**[mmPISA-bench: Do LLMs Reason Equally Well Across 43 Languages?](https://md.research.elamur.ai/free/en/papers/sapenov-2026-mmpisa-bench-do-llms-reason/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Yerzhan Sapenov, Jaromir Savelka*2026*

**[MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-mmra-benchmark-evaluating-multi-granularity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Siwei Wu, King Zhu, Yu Bai, et al.*2026*

**[MMSciCode: Real-world Evaluation of Multilingual Multi-Discipline Scientific Research Coding](https://md.research.elamur.ai/free/en/papers/xia-2026-mmscicode-real-world-evaluation-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xue Xia, Zheyuan Yang, Arman Cohan, et al.*2026*

**[MMTabReal: Real-World Benchmark for Multimodal Table Understanding](https://md.research.elamur.ai/free/en/papers/titiya-2026-mmtabreal-real-world-benchmark-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Prasham Yatinkumar Titiya, Jainil Trivedi, Chitta Baral, et al.*2026*

**[MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring](https://md.research.elamur.ai/free/en/papers/yang-2026-mmtutorbench-first-multimodal-benchmark-ai/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tengchao Yang, Sichen Guo, Mengzhao Jia, et al.*2026*

**[MMUIE: Massive Multi-Domain Universal Information Extraction for Long Documents](https://md.research.elamur.ai/free/en/papers/zhang-2026-mmuie-massive-multi-domain-universal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuyi Zhang, Zhenbin Chen, Shuting Li, et al.*2026*

**[MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environment](https://md.research.elamur.ai/free/en/papers/wu-2026-mobilebench-ol-comprehensive-chinese-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qinzhuo Wu, Zhizhuo Yang, Hanhao Li, et al.*2026*

**[Modality Matching Matters: Calibrating Language Distances for Cross-Lingual Transfer in URIEL+](https://md.research.elamur.ai/free/en/papers/ng-2026-modality-matching-matters-calibrating-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**York Hay Ng, Aditya Khan, Xiang Lu, et al.*2026*

**[MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation](https://md.research.elamur.ai/free/en/papers/wei-2026-mode-rag-manifold-outlier-diagnosis/) [Workshop on Multimodal Augmented Generation via Multimodal Retrieval](https://md.research.elamur.ai/free/en/venues/magmar/)**Zehang Wei, JiaXin Dai, Jiamin Yan, et al.*2026*

**[Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/zheng-2026-model-directions-not-words-mechanistic/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, et al.*2026*

**[Model-Agnostic Meta Learning for Class Imbalance Adaptation](https://md.research.elamur.ai/free/en/papers/rao-2026-model-agnostic-meta-learning-class/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanshu Rao, Guangzeng Han, Xiaolei Huang*2026*

**[Model-Based Imaginative Planning for Embodied Agents](https://md.research.elamur.ai/free/en/papers/song-2026-model-based-imaginative-planning-embodied/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junru Song, Hengzhe Jin, Yucong Huang, et al.*2026*

**[Modeling Changing Scientific Concepts with Complex Networks: A Case Study on the Chemical Revolution](https://md.research.elamur.ai/free/en/papers/valdez-2026-modeling-changing-scientific-concepts-complex/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Sofia Aguilar Valdez, Stefania Degaetano-Ortlieb*2026*

**[Modeling Human Perspectives with Socio-Demographic Representations](https://md.research.elamur.ai/free/en/papers/zhang-2026-modeling-human-perspectives-socio-demographic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Leixin Zhang, Cagri Coltekin*2026*

**[Modeling Linguistic Violence: An Ontology-Based Framework for the Computational Analysis of Violence Manifested in Language](https://md.research.elamur.ai/free/en/papers/santana-2026-modeling-linguistic-violence-ontology-based/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Brenda Salenave Santana, Ana Marilza Pernas, Aline A. Vanin*2026*

**[Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding](https://md.research.elamur.ai/free/en/papers/zhong-2026-modeling-multi-dimensional-cognitive-states/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lin Zhong, Siyu Zhu, Zizhen Yuan, et al.*2026*

**[Modeling Perspectives in NLP: Parameter-Efficient Perspective Conditioning for Span Extraction and Summarization](https://md.research.elamur.ai/free/en/papers/saisudha-2026-modeling-perspectives-nlp-parameter-efficient/) [edition of NLPerspectives](https://md.research.elamur.ai/free/en/venues/nlperspectives/)**Harikrishnan Gurushankar Saisudha, Sabine Bergler*2026*

**[Modeling semantic association in self-paced reading with language model embeddings](https://md.research.elamur.ai/free/en/papers/ostergaard-2026-modeling-semantic-association-self-paced/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Sara Møller Østergaard, Kenneth Enevoldsen, Afra Alishahi, et al.*2026*

- [Modeling the Dalet Clitic in Historical Hebrew Texts: A New Prefix-Segmented BERT Model and Stylistic Analysis](https://md.research.elamur.ai/free/en/papers/tal-2026-modeling-dalet-clitic-historical-hebrew/) — Rachel Tal, Cheyn Shmuel Shmidman, Avi Shmidman · Ancient Hebrew

**[Modeling the Memory-Surprisal Trade-Off over Time: Communicative Efficiency Decreases with Lexico-Grammatical Change in Scientific English](https://md.research.elamur.ai/free/en/papers/steuer-2026-modeling-memory-surprisal-trade-off/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julius Steuer, Marie-Pauline Krielke, Stefania Degaetano-Ortlieb, et al.*2026*

**[Modelling Idiomatic Expressions in Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/gareeva-2026-modelling-idiomatic-expressions-abstract-meaning/) [International Workshop on Designing Meaning Representations @ LREC](https://md.research.elamur.ai/free/en/venues/dmr/)**Venera Gareeva, Johannes Heinecke*2026*

**[Modular Approach to Automating Morphological Components in Grammar Engineering](https://md.research.elamur.ai/free/en/papers/voloshina-2026-modular-approach-automating-morphological-components/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ekaterina Voloshina, Krasimir Angelov*2026*

- [Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR](https://md.research.elamur.ai/free/en/papers/gao-2026-modular-neural-machine-translation-semantic/) — Wenyang Gao, Yaxuan Li, Yunxin Bao, et al. · Machine translation

**[ModularMoE: Fast LLM Customization with Parameter-Sharing Mixture-of-Experts for Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/liu-2026-modularmoe-fast-llm-customization-parameter/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaxing Liu, Qi Qi, Haifeng Sun, et al.*2026*

**[MoEC: A Memory-Routed Mixture-of-Experts Controller for Adaptive Minecraft Control](https://md.research.elamur.ai/free/en/papers/wu-2026-moec-memory-routed-mixture-experts/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hui Wu, Chao Xu, Jianghui Wang, et al.*2026*

**[MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules](https://md.research.elamur.ai/free/en/papers/xu-2026-molsafeeval-benchmark-uncovering-safety-risks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tong Xu, Xinzhe Cao, Zhihui Zhu, et al.*2026*

**[Momoka-RAG: MCTS-Organized Mapping of Knowledge Associations for Long-Document Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/tao-2026-momoka-rag-mcts-organized-mapping/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenyu Tao, Xiaofen Xing, Zeliang Li, et al.*2026*

**[MonCulture-Eval: A Hierarchical Benchmark for Evaluating Mongolian Cultural Capabilities of Large Language Models across Scripts and Regions](https://md.research.elamur.ai/free/en/papers/minggad-2026-monculture-eval-hierarchical-benchmark-evaluating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Quulgan Minggad, Xiao Zinan, Yuan Sun*2026*

**[MONETA: Multimodal Industry Classification through Geographic Information with Multi Agent Systems](https://md.research.elamur.ai/free/en/papers/yuksel-2026-moneta-multimodal-industry-classification-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Arda Yüksel, Gabriel Thiem, Susanne Walter, et al.*2026*

**[Moneyball with LLMs: Analyzing Tabular Summarization in Sports Narratives](https://md.research.elamur.ai/free/en/papers/upadhyay-2026-moneyball-llms-analyzing-tabular-summarization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ritam Upadhyay, Naman Ahuja, Rishabh Baral, et al.*2026*

**[More Than Sum of Its Parts: Deciphering Intent Shifts in Multimodal Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/sun-2026-more-than-sum-its-parts/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Runze Sun, Yu Zheng, Zexuan Xiong, et al.*2026*

**[More Thinking, Less Talking: Internalizing Deliberative Safety into LLM Parameters](https://md.research.elamur.ai/free/en/papers/wang-2026-more-thinking-less-talking-internalizing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guan Wang, Xuehai Tang, Biyu Zhou, et al.*2026*

**[MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-morphobench-benchmark-difficulty-adaptive-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xukai Wang, Xuanbo Liu, Mingrui Chen, et al.*2026*

**[MorphoFiltered-Gemini at MWE-2026 PARSEME 2.0 Subtask 1: Tackling LLM Overgeneration via Universal POS-based Constraints](https://md.research.elamur.ai/free/en/papers/moise-2026-morphofiltered-gemini-mwe-2026-parseme/) [Workshop on Multiword Expressions (MWE)](https://md.research.elamur.ai/free/en/venues/mwe/)**Irina Moise, Sergiu Nisioi*2026*

**[Morphological Parsing for Media Lengua: When Accessibility Matters More Than State-of-the-Art](https://md.research.elamur.ai/free/en/papers/stewart-2026-morphological-parsing-media-lengua-when/) [Workshop on the Use of Computational Methods in the Study of Endangered Languages](https://md.research.elamur.ai/free/en/venues/computel/)**Jesse Stewart, Olga Kriukova*2026*

**[Morphology-Aware Multi-Granularity Representation Learning for Agglutinative Languages](https://md.research.elamur.ai/free/en/papers/zhang-2026-morphology-aware-multi-granularity-representation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhonghao Zhang, Na Liu, Jiajia Ma, et al.*2026*

**[MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification in Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/schiavone-2026-mosaic-multilingual-taxonomy-agnostic-computationally/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Alice Schiavone, Marco Fraccaro, Lea Marie Pehrson, et al.*2026*

**[MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning](https://md.research.elamur.ai/free/en/papers/pavlova-2026-mosaic-masked-objective-selective-adaptation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Vera Pavlova, Mohammed Makhlouf*2026*

**[Mostly Grounded, Occasionally Risky: Expert Evaluation of LLM-Generated Supervisory Feedback in a Psychotherapy Training Simulator](https://md.research.elamur.ai/free/en/papers/montesano-2026-mostly-grounded-occasionally-risky-expert/) [Workshop on Computational Linguistics and Clinical Psychology](https://md.research.elamur.ai/free/en/venues/clpsych/)**Adrian Montesano, Justin K. Bloomberg, Marc Pérez-Buriel*2026*

**[MPBoCo: Multimodal Prompt-based Boundary-enhanced Continual Framework for Joint Entity and Relation Extraction](https://md.research.elamur.ai/free/en/papers/sun-2026-mpboco-multimodal-prompt-based-boundary/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanglu Sun, Xinyu Liu, Lili Liang, et al.*2026*

**[MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation](https://md.research.elamur.ai/free/en/papers/riley-2026-mqm-re-annotation-technique-collaborative/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Parker Riley, Daniel Deutsch, Mara Finkelstein, et al.*2026*

**[MSCode: Advancing Human Motion-Language Understanding via Modality-Shared Codebook](https://md.research.elamur.ai/free/en/papers/shi-2026-mscode-advancing-human-motion-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoyu Shi, Huaiwen Zhang*2026*

**[mSCoRe: A Multilingual and Scalable Benchmark for Skill-based Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/ngo-2026-mscore-multilingual-scalable-benchmark-skill/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen*2026*

**[MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs](https://md.research.elamur.ai/free/en/papers/zhao-2026-msearth-multimodal-benchmark-earth-science/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangyu Zhao, Wanghan Xu, Bo Liu, et al.*2026*

**[MSMO-ABSA: Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wu-2026-msmo-absa-multi-scale-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chengyan Wu, Bolei Ma, Ningyuan Deng, et al.*2026*

**[MSVBench: Towards Human-Level Evaluation of Multi-Shot Video Generation](https://md.research.elamur.ai/free/en/papers/shi-2026-msvbench-human-level-evaluation-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoyuan Shi, Yunxin li, Nanhao Deng, et al.*2026*

**[MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues](https://md.research.elamur.ai/free/en/papers/pan-2026-mt-video-bench-holistic-video/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yaning Pan, Qianqian Xie, Guohui Zhang, et al.*2026*

**[MTO: A Multi-turn Conversational Text-to-OverpassQL Dataset for Enhanced OpenStreetMap Query Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-mto-multi-turn-conversational-text/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haodi Zhang, Xinrui Zhu, Mingze Kong, et al.*2026*

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