---
title: "Computer Vision and Pattern Recognition — papers, page 9"
description: "Computer Vision and Pattern Recognition: 1,029 papers of the Elamur Research library · page 9 of 12 · 726–825, the most cited first — our summary of each…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/9/"
---
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# 👁️ Computer Vision and Pattern Recognition

1,029 papers · page 9 of 12 · 726–825 · 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/8/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) … [8](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/8/) **9** [10](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/10/) [11](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/page/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/10/)

726. [**Olmo 3**Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.*2025 · 109 citations*](https://md.research.elamur.ai/free/en/papers/ettinger-2025-olmo-3/)
727. [**DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads**Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.*2024 · 109 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2024-duoattention-efficient-long-context-llm/)
728. [**Evaluating the Performance of Large Language Models on GAOKAO Benchmark**Xiaotian Zhang, Chunyang Li, Yi Zong, et al.*2023 · 107 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-evaluating-performance-large-language/)
729. [**Physics of Language Models: Part 3.1, Knowledge Storage and Extraction**Zeyuan Allen-Zhu, Yuanzhi Li*2023 · 107 citations*](https://md.research.elamur.ai/free/en/papers/allen-zhu-2023-physics-language-models-part-3/)
730. [**TokenSkip: Controllable Chain-of-Thought Compression in LLMs**Heming Xia, Chak Tou Leong, Wenjie Wang, et al.*2025 · 105 citations*](https://md.research.elamur.ai/free/en/papers/xia-2025-tokenskip-controllable-chain-thought-compression/)
731. [**MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries**Yixuan Tang, Yi Yang*2024 · 103 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-multihop-rag-benchmarking-retrieval-augmented/)
732. [**Pragmatically Informative Image Captioning with Character-Level Inference**Reuben Cohn-Gordon, Noah Goodman, Christopher Potts*2018 · 103 citations*](https://md.research.elamur.ai/free/en/papers/gordon-2018-pragmatically-informative-image-captioning-character/)
733. [**Scaling Laws for Transfer**Danny Hernandez, Jared Kaplan, Tom Henighan, et al.*2021 · 102 citations*](https://md.research.elamur.ai/free/en/papers/hernandez-2021-scaling-laws-transfer/)
734. [**Probing Natural Language Inference Models through Semantic Fragments**Kyle Richardson, Hai Hu, Lawrence S. Moss, et al.*2019 · 102 citations*](https://md.research.elamur.ai/free/en/papers/richardson-2019-probing-natural-language-inference-models/)
735. [**Qwen2.5-1M Technical Report**An Yang, Bowen Yu, Chengyuan Li, et al.*2025 · 100 citations*](https://md.research.elamur.ai/free/en/papers/yang-2025-qwen2-5-1m-technical/)
736. [**A Large-Scale Comparison of Historical Text Normalization Systems**Marcel Bollmann*2019 · 99 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2019-large-scale-comparison-historical-text/)
737. [**Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling**Xiaokang Chen, Zhiyu Wu, Xingchao Liu, et al.*2025 · 97 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-janus-pro-unified-multimodal/)
738. [**LongAlign: A Recipe for Long Context Alignment of Large Language Models**Yushi Bai, Xin Lv, Jiajie Zhang, et al.*2024 · 97 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longalign-recipe-long-context/)
739. [**Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events**Prafulla Kumar Choubey, Ruihong Huang*2017 · 97 citations*](https://md.research.elamur.ai/free/en/papers/choubey-2017-event-coreference-resolution-iteratively-unfolding/)
740. [**MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction**Xiaozhi Wang, Yulin Chen, Ning Ding, et al.*2022 · 96 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-maven-ere-unified-large-scale/)
741. [**InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model**Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.*2024 · 92 citations*](https://md.research.elamur.ai/free/en/papers/dong-2024-internlm-xcomposer2-mastering-free/)
742. [**SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning**Roshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, et al.*2021 · 92 citations*](https://md.research.elamur.ai/free/en/papers/mirzaee-2021-spartqa-textual-question-answering-benchmark/)
743. [**Skywork: A More Open Bilingual Foundation Model**Tianwen Wei, Liang Zhao, Lichang Zhang, et al.*2023 · 91 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-skywork-more-open-bilingual/)
744. [**It's not Rocket Science: Interpreting Figurative Language in Narratives**Tuhin Chakrabarty, Yejin Choi, Vered Shwartz*2022 · 91 citations*](https://md.research.elamur.ai/free/en/papers/chakrabarty-2022-it-s-not-rocket-science/)
745. [**Machine Comprehension with Discourse Relations**Karthik Narasimhan, Regina Barzilay*2015 · 91 citations*](https://md.research.elamur.ai/free/en/papers/narasimhan-2015-machine-comprehension-discourse-relations/)
746. [**Language Modeling Is Compression**Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.*2023 · 89 citations*](https://md.research.elamur.ai/free/en/papers/deletang-2023-language-modeling-compression/)
747. [**Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering**Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, et al.*2018 · 83 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-coreference-resolution-deep-biaffine/)
748. [**Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks**Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, et al.*2020 · 80 citations*](https://md.research.elamur.ai/free/en/papers/toshniwal-2020-learning-ignore-long-document-coreference/)
749. [**Are Pretrained Language Models Symbolic Reasoners over Knowledge?**Nora Kassner, Benno Krojer, Hinrich Schütze*2020 · 79 citations*](https://md.research.elamur.ai/free/en/papers/kassner-2020-are-pretrained-language-models-symbolic/)
750. [**StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts**Zhengxiang Shi, Qiang Zhang, Aldo Lipani*2022 · 70 citations*](https://md.research.elamur.ai/free/en/papers/shi-2022-stepgame-new-benchmark-robust-multi/)
751. [**Dynamic Routing Transformer Network for Multimodal Sarcasm Detection**Yuan Tian, Nan Xu, Ruike Zhang, et al.*2023 · 66 citations*](https://md.research.elamur.ai/free/en/papers/tian-2023-dynamic-routing-transformer-network-multimodal/)
752. [**Multi-Relational Script Learning for Discourse Relations**I-Ta Lee, Dan Goldwasser*2019 · 66 citations*](https://md.research.elamur.ai/free/en/papers/lee-2019-multi-relational-script-learning-discourse/)
753. [**MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System**Libo Qin, Shijue Huang, Qiguang Chen, et al.*2023 · 65 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-mmsd2-0-reliable-multi-modal/)
754. [**Inquisitive Question Generation for High Level Text Comprehension**Wei-Jen Ko, Te-yuan Chen, Yiyan Huang, et al.*2020 · 65 citations*](https://md.research.elamur.ai/free/en/papers/ko-2020-inquisitive-question-generation-high-level/)
755. [**Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks**Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, et al.*2020 · 65 citations*](https://md.research.elamur.ai/free/en/papers/fetaya-2020-restoration-fragmentary-babylonian-texts-using/)
756. [**It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books**Bingsheng Yao, Dakuo Wang, Tongshuang Wu, et al.*2022 · 64 citations*](https://md.research.elamur.ai/free/en/papers/yao-2022-it-is-ai-s-turn/)
757. [**Cross-document Coreference Resolution over Predicted Mentions**Arie Cattan, Alon Eirew, Gabriel Stanovsky, et al.*2021 · 62 citations*](https://md.research.elamur.ai/free/en/papers/cattan-2021-cross-document-coreference-resolution-over/)
758. [**Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text Data**Xinyu Wang, Xiaowen Sun, Tan Yang, et al.*2020 · 62 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-building-bridge-method-image-text/)
759. [**Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks**Akari Asai, Matt Gardner, Hannaneh Hajishirzi*2022 · 60 citations*](https://md.research.elamur.ai/free/en/papers/asai-2022-evidentiality-guided-generation-knowledge-intensive/)
760. [**Temporal Reasoning in Natural Language Inference**Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.*2020 · 57 citations*](https://md.research.elamur.ai/free/en/papers/vashishtha-2020-temporal-reasoning-natural-language-inference/)
761. [**Incremental Neural Coreference Resolution in Constant Memory**Patrick Xia, João Sedoc, Benjamin Van Durme*2020 · 55 citations*](https://md.research.elamur.ai/free/en/papers/xia-2020-incremental-neural-coreference-resolution-constant/)
762. [**They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking**Ethan Zhou, Jinho D. Choi*2018 · 55 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2018-they-exist-introducing-plural-mentions/)
763. [**Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs**Aaditya K. Singh, DJ Strouse*2024 · 53 citations*](https://md.research.elamur.ai/free/en/papers/singh-2024-tokenization-counts-impact-tokenization-arithmetic/)
764. [**Scaling Laws of RoPE-based Extrapolation**Xiaoran Liu, Hang Yan, Shuo Zhang, et al.*2023 · 53 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-scaling-laws-rope-based/)
765. [**English Machine Reading Comprehension Datasets: A Survey**Daria Dzendzik, Jennifer Foster, Carl Vogel*2021 · 53 citations*](https://md.research.elamur.ai/free/en/papers/dzendzik-2021-english-machine-reading-comprehension-datasets/)
766. [**TellMeWhy: A Dataset for Answering Why-Questions in Narratives**Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, et al.*2021 · 53 citations*](https://md.research.elamur.ai/free/en/papers/lal-2021-tellmewhy-dataset-answering-why-questions/)
767. [**Artificial intelligence based writer identification generates new evidence for the unknown scribes of the Dead Sea Scrolls exemplified by the Great Isaiah Scroll (1QIsaᵃ)**Mladen Popovic, Maruf A. Dhali, Lambert Schomaker*2020 · 51 citations*](https://md.research.elamur.ai/free/en/papers/popovic-2020-artificial-intelligence-based-writer-identification/)
768. [**The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue**Janosch Haber, Tim Baumgärtner, Ece Takmaz, et al.*2019 · 51 citations*](https://md.research.elamur.ai/free/en/papers/haber-2019-photobook-dataset-building-common-ground/)
769. [**Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings**Yutao Zeng, Xiaolong Jin, Saiping Guan, et al.*2020 · 50 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2020-event-coreference-resolution-their-paraphrases/)
770. [**Knowledge-aware Pronoun Coreference Resolution**Hongming Zhang, Yan Song, Yangqiu Song, et al.*2019 · 49 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-knowledge-aware-pronoun-coreference-resolution/)
771. [**A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution**Tuan Lai, Heng Ji, Trung Bui, et al.*2021 · 48 citations*](https://md.research.elamur.ai/free/en/papers/lai-2021-context-dependent-gated-module-incorporating/)
772. [**“Caption” as a Coherence Relation: Evidence and Implications**Malihe Alikhani, Matthew Stone*2019 · 48 citations*](https://md.research.elamur.ai/free/en/papers/alikhani-2019-caption-as-coherence-relation-evidence/)
773. [**WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia**Alon Eirew, Arie Cattan, Ido Dagan*2021 · 47 citations*](https://md.research.elamur.ai/free/en/papers/eirew-2021-wec-deriving-large-scale-cross/)
774. [**Learning attention for historical text normalization by learning to pronounce**Marcel Bollmann, Joachim Bingel, Anders Søgaard*2017 · 47 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2017-learning-attention-historical-text-normalization/)
775. [**Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures**Prafulla Kumar Choubey, Ruihong Huang*2018 · 43 citations*](https://md.research.elamur.ai/free/en/papers/choubey-2018-improving-event-coreference-resolution-modeling/)
776. [**Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies**Chaofan Tao, Qian Liu, Longxu Dou, et al.*2024 · 42 citations*](https://md.research.elamur.ai/free/en/papers/tao-2024-scaling-laws-vocabulary-larger-models/)
777. [**What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues**Xintong Yu, Hongming Zhang, Yangqiu Song, et al.*2019 · 42 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-what-you-see-is-what/)
778. [**The Form is the Substance: Classification of Genres in Text**Nigel Dewdney, Carol VanEss-Dykema, Richard MacMillan*2001 · 41 citations*](https://md.research.elamur.ai/free/en/papers/dewdney-2001-form-is-substance-classification-genres/)
779. [**Neural Cross-Lingual Coreference Resolution And Its Application To Entity Linking**Gourab Kundu, Avi Sil, Radu Florian, et al.*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/kundu-2018-neural-cross-lingual-coreference-resolution/)
780. [**Improving Dictionary Learning with Gated Sparse Autoencoders**Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, et al.*2024 · 39 citations*](https://md.research.elamur.ai/free/en/papers/rajamanoharan-2024-improving-dictionary-learning-gated-sparse/)
781. [**Scaling Laws for Generative Mixed-Modal Language Models**Armen Aghajanyan, Lili Yu, Alexis Conneau, et al.*2023 · 39 citations*](https://md.research.elamur.ai/free/en/papers/aghajanyan-2023-scaling-laws-generative-mixed-modal/)
782. [**Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data**Mubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.*2023 · 38 citations*](https://md.research.elamur.ai/free/en/papers/akhtar-2023-exploring-numerical-reasoning-capabilities-language/)
783. [**CITE: A Corpus of Image-Text Discourse Relations**Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, et al.*2019 · 37 citations*](https://md.research.elamur.ai/free/en/papers/alikhani-2019-cite-corpus-image-text-discourse/)
784. [**Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution**Hieu Minh Tran, Duy Phung, Thien Huu Nguyen*2021 · 36 citations*](https://md.research.elamur.ai/free/en/papers/tran-2021-exploiting-document-structures-cluster-consistencies/)
785. [**Integrating Deep Event-Level and Script-Level Information for Script Event Prediction**Long Bai, Saiping Guan, Jiafeng Guo, et al.*2021 · 36 citations*](https://md.research.elamur.ai/free/en/papers/bai-2021-integrating-deep-event-level-script/)
786. [**Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs**Nicolas Boizard, Kevin El Haddad, Celine Hudelot, et al.*2024 · 34 citations*](https://md.research.elamur.ai/free/en/papers/boizard-2024-towards-cross-tokenizer-distillation-universal/)
787. [**Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference**William Held, Dan Iter, Dan Jurafsky*2021 · 34 citations*](https://md.research.elamur.ai/free/en/papers/held-2021-focus-what-matters-applying-discourse/)
788. [**Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution**Denis Emelin, Rico Sennrich*2021 · 34 citations*](https://md.research.elamur.ai/free/en/papers/emelin-2021-wino-x-multilingual-winograd-schemas/)
789. [**Generalizing Cross-Document Event Coreference Resolution Across Multiple Corpora**Michael Bugert, Nils Reimers, Iryna Gurevych*2021 · 33 citations*](https://md.research.elamur.ai/free/en/papers/bugert-2021-generalizing-cross-document-event-coreference/)
790. [**DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models**Shansan Gong, Mukai Li, Jiangtao Feng, et al.*2023 · 32 citations*](https://md.research.elamur.ai/free/en/papers/gong-2023-diffuseq-v2-bridging-discrete-continuous/)
791. [**PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation**Shaolin Zhu, Shangjie Li, Yikun Lei, et al.*2023 · 32 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-peit-bridging-modality-gap-pre/)
792. [**Neural Modeling for Named Entities and Morphology (NEMO2)**Dan Bareket, Reut Tsarfaty*2021 · 32 citations*](https://md.research.elamur.ai/free/en/papers/bareket-2021-neural-modeling-named-entities-morphology/)
793. [**Distilling Neural Networks for Greener and Faster Dependency Parsing**Mark Anderson, Carlos Gómez-Rodríguez*2020 · 32 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2020-distilling-neural-networks-greener-faster/)
794. [**Pairwise Representation Learning for Event Coreference**Xiaodong Yu, Wenpeng Yin, Dan Roth*2022 · 31 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-pairwise-representation-learning-event-coreference/)
795. [**Probing Contextual Language Models for Common Ground with Visual Representations**Gabriel Ilharco, Rowan Zellers, Ali Farhadi, et al.*2021 · 31 citations*](https://md.research.elamur.ai/free/en/papers/ilharco-2021-probing-contextual-language-models-common/)
796. [**SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity Representation**Thomas Pickard, Aline Villavicencio, Maggie Mi, et al.*2025 · 30 citations*](https://md.research.elamur.ai/free/en/papers/pickard-2025-semeval-2025-task-1-admire/)
797. [**Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension**Shaoru Guo, Yong Guan, Ru Li, et al.*2020 · 30 citations*](https://md.research.elamur.ai/free/en/papers/guo-2020-incorporating-syntax-frame-semantics-neural/)
798. [**Revisiting the Evaluation for Cross Document Event Coreference**Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos, et al.*2016 · 30 citations*](https://md.research.elamur.ai/free/en/papers/upadhyay-2016-revisiting-evaluation-cross-document-event/)
799. [**BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence**Jiajie Jin, Yutao Zhu, Yujia Zhou, et al.*2024 · 28 citations*](https://md.research.elamur.ai/free/en/papers/jin-2024-bider-bridging-knowledge-inconsistency-efficient/)
800. [**Multi-modal Stance Detection: New Datasets and Model**Bin Liang, Ang Li, Jingqian Zhao, et al.*2024 · 28 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-multi-modal-stance-detection-new/)
801. [**Multimodal Sarcasm Target Identification in Tweets**Jiquan Wang, Lin Sun, Yi Liu, et al.*2022 · 28 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-multimodal-sarcasm-target-identification-tweets/)
802. [**Constrained Multi-Task Learning for Event Coreference Resolution**Jing Lu, Vincent Ng*2021 · 28 citations*](https://md.research.elamur.ai/free/en/papers/lu-2021-constrained-multi-task-learning-event/)
803. [**MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response**Zihao Deng, Yinghao Ma, Yudong Liu, et al.*2024 · 27 citations*](https://md.research.elamur.ai/free/en/papers/deng-2024-musilingo-bridging-music-text-pre/)
804. [**Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness**Vipula Rawte, Prachi Priya, S.M Towhidul Islam Tonmoy, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/rawte-2023-exploring-relationship-between-llm-hallucinations/)
805. [**IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions**Wenhao Yu, Meng Jiang, Peter Clark, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-ifqa-dataset-open-domain-question/)
806. [**Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation**Liqiang Jing, Xuemeng Song, Kun Ouyang, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/jing-2023-multi-source-semantic-graph-based/)
807. [**Improving Arabic Diacritization with Regularized Decoding and Adversarial Training**Han Qin, Guimin Chen, Yuanhe Tian, et al.*2021 · 25 citations*](https://md.research.elamur.ai/free/en/papers/qin-2021-improving-arabic-diacritization-regularized-decoding/)
808. [**Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?**Ajay Patel, Nicholas Andrews, Chris Callison-Burch*2022 · 24 citations*](https://md.research.elamur.ai/free/en/papers/patel-2022-low-resource-authorship-style-transfer/)
809. [**Scaling Within Document Coreference to Long Texts**Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, et al.*2021 · 24 citations*](https://md.research.elamur.ai/free/en/papers/thirukovalluru-2021-scaling-within-document-coreference-long/)
810. [**Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories**Sina Zarrieß, David Schlangen*2019 · 24 citations*](https://md.research.elamur.ai/free/en/papers/zarriess-2019-know-what-you-don-t/)
811. [**Multi-task learning for historical text normalization: Size matters**Marcel Bollmann, Anders Søgaard, Joachim Bingel*2018 · 24 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2018-multi-task-learning-historical-text/)
812. [**Distillation Scaling Laws**Dan Busbridge, Amitis Shidani, Floris Weers, et al.*2025 · 23 citations*](https://md.research.elamur.ai/free/en/papers/busbridge-2025-distillation-scaling-laws/)
813. [**Conundrums in Event Coreference Resolution: Making Sense of the State of the Art**Jing Lu, Vincent Ng*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/lu-2021-conundrums-event-coreference-resolution-making/)
814. [**MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks**Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.*2025 · 22 citations*](https://md.research.elamur.ai/free/en/papers/daoud-2025-medarabiq-benchmarking-large-language-models/)
815. [**Sequential Cross-Document Coreference Resolution**Emily Allaway, Shuai Wang, Miguel Ballesteros*2021 · 22 citations*](https://md.research.elamur.ai/free/en/papers/allaway-2021-sequential-cross-document-coreference-resolution/)
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