---
title: "Computer Vision and Pattern Recognition — papers, page 11"
description: "Computer Vision and Pattern Recognition: 1,029 papers of the Elamur Research library · page 11 of 12 · 926–1025, the most cited first — our summary of…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/11/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/11/)

[home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) / [Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) / page 11

# 👁️ Computer Vision and Pattern Recognition

1,029 papers · page 11 of 12 · 926–1025 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Computer Vision and Pattern Recognition is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Multimodal Machine Learning Applications», «Advanced Neural Network Applications», «Handwritten Text Recognition Techniques».

## Papers

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/10/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) … [10](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/10/) **11** [12](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/12/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/12/)

926. [**BitMar: Low-Bit Multimodal Fusion with Episodic Memory for Edge Devices**Euhid Aman, Esteban Carlin, Hsing-Kuo Kenneth Pao, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/aman-2025-bitmar-low-bit-multimodal-fusion/)
927. [**Cross-Lingual SynthDocs: A Large-Scale Synthetic Corpus for Any to Arabic OCR and Document Understanding**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/)
928. [**LCHAIM - Investigating Long Context Reasoning in Hebrew**Ehud Malul, Oriel Perets, Ziv Mor, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/malul-2025-lchaim-investigating-long-context-reasoning/)
929. [**MLInitiative at CASE 2025: Multimodal Detection of Hate Speech, Humor,and Stance using Transformers**Ashish Acharya, Ankit Bk, Bikram K.C., et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/acharya-2025-mlinitiative-case-2025-multimodal-detection/)
930. [**Multi-Agent Interactive Question Generation Framework for Long Document Understanding**Kesen Wang, Daulet Toibazar, Abdulrahman Alfulayt, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/wang-2025-multi-agent-interactive-question-generation/)
931. [**Restoring Missing Spaces in Scraped Hebrew Social Media**Avi Shmidman, Shaltiel Shmidman*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-restoring-missing-spaces-scraped-hebrew/)
932. [**Uncertainty-driven Partial Diacritization for Arabic Text**Humaid Ali Alblooshi, Artem Shelmanov, Hanan Aldarmaki*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alblooshi-2025-uncertainty-driven-partial-diacritization-arabic/)
933. [**Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data**Badr AlKhamissi, Yingtian Tang, Abdülkadir Gökce, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alkhamissi-2024-dreaming-out-loud-self-synthesis/)
934. [**Arabic Handwritten Text Line Dataset**Hakim Bouchal, Ahror Belaid*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/bouchal-2023-arabic-handwritten-text-line-dataset/)
935. [**Introducing DictaLM — A Large Generative Language Model for Modern Hebrew**Shaltiel Shmidman, Avi Shmidman, Amir David Nissan Cohen, et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shmidman-2023-introducing-dictalm-large-generative-language/)
936. [**Neural Computing for Online Arabic Handwriting Character Recognition using Hard Stroke Features Mining**Amjad Rehman*2020 · 1 citation*](https://md.research.elamur.ai/free/en/papers/rehman-2020-neural-computing-online-arabic-handwriting/)
937. [**Smartajweed Automatic Recognition of Arabic Quranic Recitation Rules**Ali M. Alagrami, Maged M. Eljazzar*2020 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alagrami-2020-smartajweed-automatic-recognition-arabic-quranic/)
938. [**A Dataset of Wolof Ajami Manuscripts for HTR and OCR**Oreen Yousuf, Elhadji Djibril Diagne, Christian Høgel, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yousuf-2026-dataset-wolof-ajami-manuscripts-htr/)
939. [**A Large-Scale Instruction-Tuning Dataset and Models for Slovenian Vision-Language Tasks**Matej Martinc, Domen Vreš*2026*](https://md.research.elamur.ai/free/en/papers/martinc-2026-large-scale-instruction-tuning-dataset/)
940. [**A Recipe for Adapting Multilingual Embedders to OCR-Error Robustness and Historical Texts**Andrianos Michail, Stylianos Psychias, Juri Opitz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/michail-2026-recipe-adapting-multilingual-embedders-ocr/)
941. [**A Study on Building Efficient Zero-Shot Relation Extraction Models**Hugo THOMAS, Caio Corro, Guillaume Gravier, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thomas-2026-study-building-efficient-zero-shot/)
942. [**A Zipfian Analysis of Visual Token Distributions for AI-Generated Images**Andrew Shin*2026*](https://md.research.elamur.ai/free/en/papers/shin-2026-zipfian-analysis-visual-token-distributions/)
943. [**AccurateRAG: A Framework for Building Accurate Retrieval-Augmented Question-Answering Applications**Linh The Nguyen, Chi Tran, Dung Ngoc Nguyen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-accuraterag-framework-building-accurate-retrieval/)
944. [**AgriChain: Visually-Grounded Expert-Verified Reasoning for Interpretable Agricultural Vision–Language Models**Hazza Mahmood, Yongqiang Yu, Rao Anwer*2026*](https://md.research.elamur.ai/free/en/papers/mahmood-2026-agrichain-visually-grounded-expert-verified/)
945. [**alexandru412 at MWE-2026 AdMIRe 2.0: Advancing Multimodal Idiomaticity Representation**Cristea Alexandru-Marian*2026*](https://md.research.elamur.ai/free/en/papers/marian-2026-alexandru412-mwe-2026-admire-2/)
946. [**AmharicStoryQA: A Multicultural Story Question Answering Benchmark in Amharic**Israel Abebe Azime, Abenezer Kebede Angamo, Hana Mekonen Tamiru, et al.*2026*](https://md.research.elamur.ai/free/en/papers/azime-2026-amharicstoryqa-multicultural-story-question-answering/)
947. [**An LLM-Based Assistant for Debt Waiver Court Procedures**Lluis Padro, Daniel Ferrés, Roser Saurí, et al.*2026*](https://md.research.elamur.ai/free/en/papers/padro-2026-llm-based-assistant-debt-waiver/)
948. [**ArabicNumBench: Evaluating Arabic Number Reading in Large Language Models**Anas Alhumud, Abdulaziz Alhammadi, Muhammad Badruddin Khan*2026*](https://md.research.elamur.ai/free/en/papers/alhumud-2026-arabicnumbench-evaluating-arabic-number-reading/)
949. [**AraDynFact: Dynamic Evaluation of Factual Knowledge in Arabic**Ignacio Iacobacci, Faroq Altam, Zhaozhi Qian, et al.*2026*](https://md.research.elamur.ai/free/en/papers/iacobacci-2026-aradynfact-dynamic-evaluation-factual-knowledge/)
950. [**AraMS-28k: The Largest Publicly Released Line-Level Dataset of Historical Arabic Manuscripts with Margin and Insertion-Anchor Annotations**Mohamed Guechaoui, Mohamed Diaa Zellagui, Souleyman Chaib, et al.*2026*](https://md.research.elamur.ai/free/en/papers/guechaoui-2026-arams-28k-largest-publicly-released/)
951. [**Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table Translation**Seok Hwan Song, Azher Ahmed Efat, Wallapak Tavanapong*2026*](https://md.research.elamur.ai/free/en/papers/song-2026-assessing-y-axis-influence-bias/)
952. [**Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QA**Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/maheshwary-2026-augmenting-llm-reasoning-dynamic-notes/)
953. [**AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing**Sarubi Thillainathan, Ji-Ung Lee, Michael Sullivan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thillainathan-2026-authormix-modular-authorship-style-transfer/)
954. [**Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech**Mohd Mujtaba Akhtar, Girish, Farhan Sheth, et al.*2026*](https://md.research.elamur.ai/free/en/papers/akhtar-2026-bridging-attribution-open-set-detection/)
955. [**Can Video LLMs See Through Illusions? Video-Illusion QA Benchmark Dataset**Souto Ohira, Tosho Hirasawa, Mamoru Komachi*2026*](https://md.research.elamur.ai/free/en/papers/ohira-2026-can-video-llms-see-through/)
956. [**Contrastively Pre-trained Event Embeddings with Schema-free LLM Annotations**Frank Mtumbuka, Steven Schockaert*2026*](https://md.research.elamur.ai/free/en/papers/mtumbuka-2026-contrastively-pre-trained-event-embeddings/)
957. [**Corpus and Baselines for Distinguishing Authentic, AI-Generated, and AI-Enhanced Resumes**Andrea Loizidou, Anshu Kiran Sharma, Adrian Esquivel, et al.*2026*](https://md.research.elamur.ai/free/en/papers/loizidou-2026-corpus-baselines-distinguishing-authentic-ai/)
958. [**CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor Traps**Jungmin Yun, June Hyoung Kwon, Youngbin Kim*2026*](https://md.research.elamur.ai/free/en/papers/yun-2026-crit-qa-evaluating-multi-hop/)
959. [**DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised Distillation**Tom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rohr-2026-deepicd-r1-medical-reasoning-through/)
960. [**Diff4TST: Masked Diffusion Language Model for Text Style Transfer**Xinchen Ma, Gaole He, Yunshi Lan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ma-2026-diff4tst-masked-diffusion-language-model/)
961. [**Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?**Luca Modica, Filip Landin, Mehrdad Farahani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/modica-2026-do-factual-recall-mechanisms-carry/)
962. [**Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations**Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/)
963. [**DREAM: A Multicultural Multimodal Dataset Linking Dialogues and Realistic Image Sequences**Juan Mallo, Marcos Estecha-Garitagoitia, Ricardo Cordoba, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mallo-2026-dream-multicultural-multimodal-dataset-linking/)
964. [**E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language Understanding**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral/)
965. [**Early Fusion with Contrastive Learning: A Lightweight Alternative for Multi-modal Classification**Felix Wernlein, Abhik Jana, Sandipan Sikdar*2026*](https://md.research.elamur.ai/free/en/papers/wernlein-2026-early-fusion-contrastive-learning-lightweight/)
966. [**EDRAC: Benchmarking Arabic Dialect Reading Comprehension**Noor Abo Mokh, Kirill Chirkunov, Teresa Lynn, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mokh-2026-edrac-benchmarking-arabic-dialect-reading/)
967. [**eSciBench: An Extensible Scientific PDF Extraction Benchmark**Noah Tremblay Taillon, Phillippe Langlais*2026*](https://md.research.elamur.ai/free/en/papers/taillon-2026-escibench-extensible-scientific-pdf-extraction/)
968. [**Evaluating Discriminability of Vision-Language Models**Masayasu Muraoka, Naoaki Okazaki*2026*](https://md.research.elamur.ai/free/en/papers/muraoka-2026-evaluating-discriminability-vision-language-models/)
969. [**Evaluating Multimodal Large Language Model Narrative Interpretation through the Lens of Appraisal Theory**Jayant Teotia, Xiaowei Wang, Xulang Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/teotia-2026-evaluating-multimodal-large-language-model/)
970. [**Event Chronography in Multi-modal Data: The BME Method for Quantitative Analyses**Anaïs Claire Murat, Maria Koutsombogera, Carl Vogel*2026*](https://md.research.elamur.ai/free/en/papers/murat-2026-event-chronography-multi-modal-data/)
971. [**Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge Grounding**Priyanshu Priya, Hardik Goyal, Asif Ekbal*2026*](https://md.research.elamur.ai/free/en/papers/priya-2026-faithful-medical-dialogue-generation-homo/)
972. [**Frame2KG: A Benchmark and Evaluation Toolkit for Interpretable Frame-to-Graph Generation**Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.*2026*](https://md.research.elamur.ai/free/en/papers/watson-2026-frame2kg-benchmark-evaluation-toolkit-interpretable/)
973. [**GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and Generators**Manuel Schaaf, Kevin Bönisch, Alexander Mehler*2026*](https://md.research.elamur.ai/free/en/papers/schaaf-2026-ghostwriter-hidden-ai-generated-texts/)
974. [**GreekCommonGen: A Benchmark for Evaluating Generative Commonsense Reasoning in Greek**Aristotelis Stamopoulos, Dimitrios Galanis*2026*](https://md.research.elamur.ai/free/en/papers/stamopoulos-2026-greekcommongen-benchmark-evaluating-generative-commonsense/)
975. [**HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model**Noam Kayzer, Dan Revital, Ori Bar Joseph, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kayzer-2026-hebatron-hebrew-specialized-open-weight/)
976. [**HistoryBankQA: Multilingual Temporal Question Answering on Historical Events**Biswadip Mandal, Anant Khandelwal, Manish Gupta*2026*](https://md.research.elamur.ai/free/en/papers/mandal-2026-historybankqa-multilingual-temporal-question-answering/)
977. [**HotelCheckSpan: A Benchmark Dataset for LLM Faithfulness**Patricia Schmidtova, Ondrej Dusek, Saad Mahamood*2026*](https://md.research.elamur.ai/free/en/papers/schmidtova-2026-hotelcheckspan-benchmark-dataset-llm-faithfulness/)
978. [**I Came, I Saw, I Explained: Benchmarking Multimodal LLMs on Figurative Meaning in Memes**Shijia Zhou, Saif M. Mohammad, Barbara Plank, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-i-came-i-saw-i/)
979. [**ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation**Samir Abdaljalil, Hunzalah Hassan Bhatti, Ahlam Bashiti, et al.*2026*](https://md.research.elamur.ai/free/en/papers/abdaljalil-2026-imageeval-2026-culturally-grounded-arabic/)
980. [**InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in Summarization**Kosuke Nishida, Kyosuke Nishida, Itsumi Saito*2026*](https://md.research.elamur.ai/free/en/papers/nishida-2026-instructsum-benchmark-evaluate-instruction-following/)
981. [**K-MIND: Korean Multimodal INteraction Data for Dyadic Conversation Analysis**Jae Hee Yang, Yuha Shin, Saim Shin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-k-mind-korean-multimodal-interaction/)
982. [**Large Language Models Put to the Test on Chinese Noun Compounds: Experiments on Natural Language Inference and Compound Semantics**Le Qiu, Emmanuele Chersoni, He Zhou, et al.*2026*](https://md.research.elamur.ai/free/en/papers/qiu-2026-large-language-models-put-test/)
983. [**Logic-Level Evaluation of Logical Table-to-Text Generation**Lena Trigg, Dean F. Hougen, Ahsan Bilal*2026*](https://md.research.elamur.ai/free/en/papers/trigg-2026-logic-level-evaluation-logical-table/)
984. [**LongTailQA: Benchmarking LLMs and RAG Models on Disambiguated Long-Tail Entities**William Xion, Uwe Hadler, Tim Cofala, et al.*2026*](https://md.research.elamur.ai/free/en/papers/xion-2026-longtailqa-benchmarking-llms-rag-models/)
985. [**Low-Rank Compression of Language Models via Differentiable Rank Selection**Sidhant Sundrani, Francesco Tudisco, Pasquale Minervini*2026*](https://md.research.elamur.ai/free/en/papers/sundrani-2026-low-rank-compression-language-models/)
986. [**LST at MWE-2026 AdMIRe 2: Advancing Multimodal Idiomaticity Representation**Le Qiu, Yu-Yin Hsu, Emmanuele Chersoni*2026*](https://md.research.elamur.ai/free/en/papers/qiu-2026-lst-mwe-2026-admire-2/)
987. [**LV-ROVER-MLT: Low-Resource Maltese OCR by Synthetic Fine-Tuning and Multi-Stream Arbitration**Adam Darmanin*2026*](https://md.research.elamur.ai/free/en/papers/darmanin-2026-lv-rover-mlt-low-resource/)
988. [**MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description Scenarios**Bi-Cheng Yan, Fu-An Chao, Hong-Yun H.Y. Lin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-masa-novel-multimodal-foundation-model/)
989. [**MazzikaAI: A knowledge-based performance-to-prompt compiler for real-time Arabic maqam accompaniment with a streaming text-to-music model**Jiaxin Du, Boulbaba Abdeljaouad, Yong Zhuang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/du-2026-mazzikaai-knowledge-based-performance-prompt/)
990. [**Meaning Representations as Variational Quantum Circuits**Tilen Gaetano Limbäck-Stokin, Tanishka A. Birdavade, Kin Ian Lo, et al.*2026*](https://md.research.elamur.ai/free/en/papers/stokin-2026-meaning-representations-as-variational-quantum/)
991. [**MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and Reasoning**Zimu Wang, Yuqi Wang, Tong Chen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-meur-benchmark-evaluating-vision-language/)
992. [**mSCoRe: A Multilingual and Scalable Benchmark for Skill-based Commonsense Reasoning**Nghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen*2026*](https://md.research.elamur.ai/free/en/papers/ngo-2026-mscore-multilingual-scalable-benchmark-skill/)
993. [**MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues**Yaning Pan, Qianqian Xie, Guohui Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pan-2026-mt-video-bench-holistic-video/)
994. [**Multimodal LLMs Do Not Compose Skills Optimally across Modalities**Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune*2026*](https://md.research.elamur.ai/free/en/papers/ontalvilla-2026-multimodal-llms-do-not-compose/)
995. [**MUSIA: Multilingual Story Illustration Corpus for Cross-Cultural Alignment and Generation**Krishna Tewari, Supriya Chanda, Nirmit Patil, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tewari-2026-musia-multilingual-story-illustration-corpus/)
996. [**Named Entity Recognition for Persian Literary Text: A Case Study on The Little Prince**Minoo Nassajian, Joakim Nivre, Daniel Zeman*2026*](https://md.research.elamur.ai/free/en/papers/nassajian-2026-named-entity-recognition-persian-literary/)
997. [**Nepal Script Text Recognition from Ancient Artifacts: Challenges and Opportunities**Swornim Nakarmi, Sarin Sthapit, Sahil Ratna Tuladhar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakarmi-2026-nepal-script-text-recognition-ancient/)
998. [**Reasoning Graph-Structured Question Answering: Datasets and Insights from LLM Benchmarking**Khin Yone, Devasha Trivedi, Anish Pahilajani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yone-2026-reasoning-graph-structured-question-answering/)
999. [**Reference-free Evaluation at Inference for NER/NEL over OCRed Historical Texts**Tien-Nam Nguyen, Adam Jatowt, Ahmed Hamdi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-reference-free-evaluation-inference-ner/)
1000. [**RuznamceNER: A Named Entity Recognition Dataset for Ottoman Turkish**Esma Fatıma Bilgin Tasdemir, Dilara Zeynep Gürer, Saziye Betul Ozates*2026*](https://md.research.elamur.ai/free/en/papers/tasdemir-2026-ruznamcener-named-entity-recognition-dataset/)
1001. [**SagaQA: A Multi-hop Reasoning Benchmark for Long-form Narrative Understanding in TV Series**Galann Pennec, Zhengyuan Liu, Nicholas Asher, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pennec-2026-sagaqa-multi-hop-reasoning-benchmark/)
1002. [**Scientific Article Section Classification (SASC) Dataset**Nicolau Duran-Silva, Julian Moreno-Schneider, César Parra-Rojas, et al.*2026*](https://md.research.elamur.ai/free/en/papers/silva-2026-scientific-article-section-classification-sasc/)
1003. [**SearchLLM: Detecting LLM Paraphrased Text by Measuring the Similarity with Regeneration of the Candidate Source via Search Engine**Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu*2026*](https://md.research.elamur.ai/free/en/papers/son-2026-searchllm-detecting-llm-paraphrased-text/)
1004. [**Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language Models**Makoto Takenaka, Hitomi Yanaka*2026*](https://md.research.elamur.ai/free/en/papers/takenaka-2026-seeing-other-side-diagnostic-tasks/)
1005. [**SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Models**Dong Liu, Yanxuan Yu*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-semtoken-semantic-aware-tokenization-efficient/)
1006. [**Severity-Aware Weighted Loss for Arabic Medical Text Generation**Ahmed Alansary, Molham Mohamed, Ali Hamdi*2026*](https://md.research.elamur.ai/free/en/papers/alansary-2026-severity-aware-weighted-loss-arabic/)
1007. [**Similar Predictions, Different Processes: A Multi-Level Comparison of Human and Multimodal LLM Language Prediction**Shuqi Wang, Zhenguang Cai*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-similar-predictions-different-processes-multi/)
1008. [**SPQ: An Ensemble Technique for Large Language Model Compression**Jiamin Yao, Eren Gultepe*2026*](https://md.research.elamur.ai/free/en/papers/yao-2026-spq-ensemble-technique-large-language/)
1009. [**Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity Detection**Dylan Phelps, Rodrigo Wilkens, Edward Gow-Smith, et al.*2026*](https://md.research.elamur.ai/free/en/papers/phelps-2026-stands-reason-investigating-effect-reasoning/)
1010. [**STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across Domains**Daniel Steinigen, Lucie Flek, Sebastian Houben*2026*](https://md.research.elamur.ai/free/en/papers/steinigen-2026-strudel-unrolling-benchmark-evaluating-vision/)
1011. [**Supervised Contrastive Fine-Tuning for Active Few-Shot Learning**Zirui Zhang, Lei Ge, Shengyu Qiao*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-supervised-contrastive-fine-tuning-active/)
1012. [**SWAN: Semantic Watermarking with Abstract Meaning Representation**Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ye-2026-swan-semantic-watermarking-abstract-meaning/)
1013. [**The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks**Yusheng Zhao, Jian Zhao, Tianle Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhao-2026-mark-fades-adaptive-evolutionary-paraphrase/)
1014. [**ThinkStruct: RST-Aware Attention for Logical Reasoning in Machine Reading Comprehension**Nhi Thao Tran, Tien Le, Toan Pham, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tran-2026-thinkstruct-rst-aware-attention-logical/)
1015. [**TiC-MuFormer: Time-Aware Caption-Integrated Multimodal Transformers for User-Level Mental Health Modeling**Georgios Tsoumplekas, Yannis Spyridis, Vasileios Argyriou*2026*](https://md.research.elamur.ai/free/en/papers/tsoumplekas-2026-tic-muformer-time-aware-caption/)
1016. [**To Overfit or Not to Overfit? An Evaluation of HTR Workflow on 17Th-18Th Century French Corpus**Marine Tiger*2026*](https://md.research.elamur.ai/free/en/papers/tiger-2026-overfit-or-not-overfit-evaluation/)
1017. [**ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models**Duy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vix-ray-vietnamese-chest-x/)
1018. [**When Numbers Tell Half the Story: Human-Metric Alignment in Topic Model Evaluation**Thibault Prouteau, Francis Lareau, Nicolas Dugue, et al.*2026*](https://md.research.elamur.ai/free/en/papers/prouteau-2026-when-numbers-tell-half-story/)
1019. [**When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents**Virginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mouilleron-2026-when-tables-go-crazy-evaluating/)
1020. [**Which Way Does Time Flow? A Psychophysics-Grounded Evaluation for Vision–Language Models**Shiho Matta, Lis Kanashiro Pereira, Peitao Han, et al.*2026*](https://md.research.elamur.ai/free/en/papers/matta-2026-which-way-does-time-flow/)
1021. [**YMIR: A new Benchmark Dataset and Model for Arabic Yemeni Music Genre Classification Using Convolutional Neural Networks**Moeen AL-Makhlafi, Abdulrahman A. AlKannad, Eiad Almekhlafi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/al-makhlafi-2026-ymir-new-benchmark-dataset-model/)
1022. [**A-SEA3L-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer Generation**Kesen Wang, Daulet Toibazar, Pedro J. Moreno*2025*](https://md.research.elamur.ai/free/en/papers/wang-2025-sea3l-qa-fully-automated-self/)
1023. [**MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation**Kareem Elozeiri, Mervat Abassy, Preslav Nakov, et al.*2025*](https://md.research.elamur.ai/free/en/papers/elozeiri-2025-mudric-multi-dialect-reasoning-arabic/)
1024. [**NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel*2025*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-neodictabert-pushing-frontier-bert-models/)
1025. [**Niyamika at BHASHA Task 1: Word-Level Transliteration for English-Hindi Mixed Text in Grammar Correction Using MT5**Rucha Ambaliya, Mahika Dugar, Pruthwik Mishra*2025*](https://md.research.elamur.ai/free/en/papers/ambaliya-2025-niyamika-bhasha-task-1-word/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/10/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) … [10](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/10/) **11** [12](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/12/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/12/)