---
title: "Computer Vision and Pattern Recognition — papers, page 7"
description: "Computer Vision and Pattern Recognition: 1,282 papers of the Elamur Research library · page 7 of 14 · 526–625, the most cited first — our summary of each…"
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---
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# 👁️ Computer Vision and Pattern Recognition

1,282 papers · page 7 of 14 · 526–625 · 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

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526. [**SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension**Bohao Li, Rui Wang, Guangzhi Wang, et al.*2023 · 247 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-seed-bench-benchmarking-multimodal-llms/)
527. [**A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models**S.M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, et al.*2024 · 246 citations*](https://md.research.elamur.ai/free/en/papers/tonmoy-2024-comprehensive-survey-hallucination-mitigation-techniques/)
528. [**MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning**Xiangru Tang, Anni Zou, Zhuosheng Zhang, et al.*2024 · 245 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-medagents-large-language-models-as/)
529. [**Automatic Detection of Machine Generated Text: A Critical Survey**Ganesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan V.S.*2020 · 245 citations*](https://md.research.elamur.ai/free/en/papers/jawahar-2020-automatic-detection-machine-generated-text/)
530. [**MSMO: Multimodal Summarization with Multimodal Output**Junnan Zhu, Haoran Li, Tianshang Liu, et al.*2018 · 245 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2018-msmo-multimodal-summarization-multimodal-output/)
531. [**Structured Denoising Diffusion Models in Discrete State-Spaces**Jacob Austin, Daniel D. Johnson, Jonathan Ho, et al.*2021 · 244 citations*](https://md.research.elamur.ai/free/en/papers/austin-2021-structured-denoising-diffusion-models-discrete/)
532. [**NCRF++: An Open-source Neural Sequence Labeling Toolkit**Jie Yang, Yue Zhang*2018 · 244 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-ncrf-open-source-neural-sequence/)
533. [**KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache**Zirui Liu, Jiayi Yuan, Hongye Jin, et al.*2024 · 243 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-kivi-tuning-free-asymmetric-2bit/)
534. [**Multimodal Few-Shot Learning with Frozen Language Models**Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.*2021 · 243 citations*](https://md.research.elamur.ai/free/en/papers/tsimpoukelli-2021-multimodal-few-shot-learning-frozen/)
535. [**CLUE: A Chinese Language Understanding Evaluation Benchmark**Liang Xu, Hai Hu, Xuanwei Zhang, et al.*2020 · 243 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-clue-chinese-language-understanding/)
536. [**Perceiver: General Perception with Iterative Attention**Andrew Jaegle, Felix Gimeno, Andrew Brock, et al.*2021 · 242 citations*](https://md.research.elamur.ai/free/en/papers/jaegle-2021-perceiver-general-perception-iterative-attention/)
537. [**Hierarchical Graph Network for Multi-hop Question Answering**Yuwei Fang, Siqi Sun, Zhe Gan, et al.*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/fang-2020-hierarchical-graph-network-multi-hop/)
538. [**Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports**Yuhao Zhang, Derek Merck, Emily Tsai, et al.*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-optimizing-factual-correctness-summary-study/)
539. [**Trusting Your Evidence: Hallucinate Less with Context-aware Decoding**Weijia Shi, Xiaochuang Han, Mike Lewis, et al.*2024 · 240 citations*](https://md.research.elamur.ai/free/en/papers/shi-2024-trusting-your-evidence-hallucinate-less/)
540. [**Improved Knowledge Distillation via Teacher Assistant**Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, et al.*2019 · 240 citations*](https://md.research.elamur.ai/free/en/papers/mirzadeh-2019-improved-knowledge-distillation-teacher-assistant/)
541. [**InternVideo2: Scaling Foundation Models for Multimodal Video Understanding**Yi Wang, Kunchang Li, Xinhao Li, et al.*2024 · 239 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-internvideo2-scaling-foundation-models/)
542. [**BERT-of-Theseus: Compressing BERT by Progressive Module Replacing**Canwen Xu, Wangchunshu Zhou, Tao Ge, et al.*2020 · 239 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-bert-theseus-compressing-bert-progressive/)
543. [**Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training**Oshin Agarwal, Heming Ge, Siamak Shakeri, et al.*2021 · 238 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2021-knowledge-graph-based-synthetic-corpus/)
544. [**CoLAKE: Contextualized Language and Knowledge Embedding**Tianxiang Sun, Yunfan Shao, Xipeng Qiu, et al.*2020 · 238 citations*](https://md.research.elamur.ai/free/en/papers/sun-2020-colake-contextualized-language-knowledge-embedding/)
545. [**Dynamically Fused Graph Network for Multi-hop Reasoning**Lin Qiu, Yunxuan Xiao, Yanru Qu, et al.*2019 · 237 citations*](https://md.research.elamur.ai/free/en/papers/qiu-2019-dynamically-fused-graph-network-multi/)
546. [**On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey**Lin Long, Rui Wang, Ruixuan Xiao, et al.*2024 · 236 citations*](https://md.research.elamur.ai/free/en/papers/long-2024-llms-driven-synthetic-data-generation/)
547. [**Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey**Zeyu Han, Chao Gao, Jinyang Liu, et al.*2024 · 236 citations*](https://md.research.elamur.ai/free/en/papers/han-2024-parameter-efficient-fine-tuning-large/)
548. [**Translation between Molecules and Natural Language**Carl Edwards, Tuan Lai, Kevin Ros, et al.*2022 · 236 citations*](https://md.research.elamur.ai/free/en/papers/edwards-2022-translation-between-molecules-natural-language/)
549. [**COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs**Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.*2020 · 236 citations*](https://md.research.elamur.ai/free/en/papers/hwang-2020-comet-atomic-2020-symbolic-neural/)
550. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
551. [**FUDGE: Controlled Text Generation With Future Discriminators**Kevin Yang, Dan Klein*2021 · 235 citations*](https://md.research.elamur.ai/free/en/papers/yang-2021-fudge-controlled-text-generation-future/)
552. [**Attention-based Multimodal Neural Machine Translation**Po-Yao Huang, Frederick Liu, Sz-Rung Shiang, et al.*2016 · 235 citations*](https://md.research.elamur.ai/free/en/papers/huang-2016-attention-based-multimodal-neural-machine/)
553. [**G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering**Xiaoxin He, Yijun Tian, Yifei Sun, et al.*2024 · 234 citations*](https://md.research.elamur.ai/free/en/papers/he-2024-g-retriever-retrieval-augmented-generation/)
554. [**FeTaQA: Free-form Table Question Answering**Linyong Nan, Chiachun Hsieh, Ziming Mao, et al.*2022 · 234 citations*](https://md.research.elamur.ai/free/en/papers/nan-2022-fetaqa-free-form-table-question/)
555. [**Learning to Understand Phrases by Embedding the Dictionary**Felix Hill, Kyunghyun Cho, Anna Korhonen, et al.*2016 · 234 citations*](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-understand-phrases-embedding-dictionary/)
556. [**A Discrete Hard EM Approach for Weakly Supervised Question Answering**Sewon Min, Danqi Chen, Hannaneh Hajishirzi, et al.*2019 · 233 citations*](https://md.research.elamur.ai/free/en/papers/min-2019-discrete-hard-em-approach-weakly/)
557. [**Qwen2-Audio Technical Report**Yunfei Chu, Jin Xu, Qian Yang, et al.*2024 · 232 citations*](https://md.research.elamur.ai/free/en/papers/chu-2024-qwen2-audio-technical-report/)
558. [**Harvesting Paragraph-level Question-Answer Pairs from Wikipedia**Xinya Du, Claire Cardie*2018 · 232 citations*](https://md.research.elamur.ai/free/en/papers/du-2018-harvesting-paragraph-level-question-answer/)
559. [**MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?**Renrui Zhang, Dongzhi Jiang, Yichi Zhang, et al.*2024 · 231 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-mathverse-multi-modal-llm-truly/)
560. [**Compositional Questions Do Not Necessitate Multi-hop Reasoning**Sewon Min, Eric Wallace, Sameer Singh, et al.*2019 · 231 citations*](https://md.research.elamur.ai/free/en/papers/min-2019-compositional-questions-do-not-necessitate/)
561. [**Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation**Amit Moryossef, Yoav Goldberg, Ido Dagan*2019 · 230 citations*](https://md.research.elamur.ai/free/en/papers/moryossef-2019-step-step-separating-planning-realization/)
562. [**Hurdles to Progress in Long-form Question Answering**Kalpesh Krishna, Aurko Roy, Mohit Iyyer*2021 · 229 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2021-hurdles-progress-long-form-question/)
563. [**Commonsense for Generative Multi-Hop Question Answering Tasks**Lisa Bauer, Yicheng Wang, Mohit Bansal*2018 · 229 citations*](https://md.research.elamur.ai/free/en/papers/bauer-2018-commonsense-generative-multi-hop-question/)
564. [**OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments**Tianbao Xie, Danyang Zhang, Jixuan Chen, et al.*2024 · 228 citations*](https://md.research.elamur.ai/free/en/papers/xie-2024-osworld-benchmarking-multimodal-agents-open/)
565. [**Findings of the Third Shared Task on Multimodal Machine Translation**Loïc Barrault, Fethi Bougares, Lucia Specia, et al.*2018 · 227 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2018-findings-third-shared-task-multimodal/)
566. [**A Language-Independent Neural Network for Event Detection**Xiaocheng Feng, Lifu Huang, Duyu Tang, et al.*2016 · 226 citations*](https://md.research.elamur.ai/free/en/papers/feng-2016-language-independent-neural-network-event/)
567. [**Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction**Yubo Ma, Zehao Wang, Yixin Cao, et al.*2022 · 225 citations*](https://md.research.elamur.ai/free/en/papers/ma-2022-prompt-extraction-paie-prompting-argument/)
568. [**Coreferential Reasoning Learning for Language Representation**Deming Ye, Yankai Lin, Jiaju Du, et al.*2020 · 225 citations*](https://md.research.elamur.ai/free/en/papers/ye-2020-coreferential-reasoning-learning-language-representation/)
569. [**Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting**Haoyang Huang, Tianyi Tang, Dongdong Zhang, et al.*2023 · 224 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-all-languages-created-equal-llms/)
570. [**A Survey of Hallucination in Large Foundation Models**Vipula Rawte, Amit Sheth, Amitava Das*2023 · 222 citations*](https://md.research.elamur.ai/free/en/papers/rawte-2023-survey-hallucination-large-foundation-models/)
571. [**Reasoning Over Semantic-Level Graph for Fact Checking**Wanjun Zhong, Jingjing Xu, Duyu Tang, et al.*2020 · 221 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-reasoning-over-semantic-level-graph/)
572. [**Visualizing and Understanding the Effectiveness of BERT**Yaru Hao, Li Dong, Furu Wei, et al.*2019 · 221 citations*](https://md.research.elamur.ai/free/en/papers/hao-2019-visualizing-understanding-effectiveness-bert/)
573. [**Med-HALT: Medical Domain Hallucination Test for Large Language Models**Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu*2023 · 220 citations*](https://md.research.elamur.ai/free/en/papers/pal-2023-med-halt-medical-domain-hallucination/)
574. [**Beyond neural scaling laws: beating power law scaling via data pruning**Ben Sorscher, Robert Geirhos, Shashank Shekhar, et al.*2022 · 220 citations*](https://md.research.elamur.ai/free/en/papers/sorscher-2022-neural-scaling-laws-beating-power/)
575. [**Transformer Memory as a Differentiable Search Index**Yi Tay, Vinh Q. Tran, Mostafa Dehghani, et al.*2022 · 220 citations*](https://md.research.elamur.ai/free/en/papers/tay-2022-transformer-memory-differentiable-search-index/)
576. [**NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models**Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.*2024 · 219 citations*](https://md.research.elamur.ai/free/en/papers/lee-2024-nv-embed-improved-techniques-training/)
577. [**The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?**Jasmijn Bastings, Katja Filippova*2020 · 219 citations*](https://md.research.elamur.ai/free/en/papers/bastings-2020-elephant-interpretability-room-why-use/)
578. [**Solving Geometry Problems: Combining Text and Diagram Interpretation**Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, et al.*2015 · 219 citations*](https://md.research.elamur.ai/free/en/papers/seo-2015-solving-geometry-problems-combining-text/)
579. [**Qwen2.5-Omni Technical Report**Jin Xu, Zhifang Guo, Jinzheng He, et al.*2025 · 218 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-qwen2-5-omni-technical/)
580. [**Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding**Hang Zhang, Xin Li, Lidong Bing*2023 · 218 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-video-llama-instruction-tuned-audio/)
581. [**Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models**Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.*2023 · 217 citations*](https://md.research.elamur.ai/free/en/papers/sengupta-2023-jais-jais-chat-arabic-centric/)
582. [**Structured Pruning Learns Compact and Accurate Models**Mengzhou Xia, Zexuan Zhong, Danqi Chen*2022 · 217 citations*](https://md.research.elamur.ai/free/en/papers/xia-2022-structured-pruning-learns-compact-accurate/)
583. [**Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models**Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, et al.*2020 · 217 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-birds-have-four-legs-numersense/)
584. [**Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4**Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, et al.*2023 · 215 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-evaluating-logical-reasoning-ability-chatgpt/)
585. [**Probing the Need for Visual Context in Multimodal Machine Translation**Ozan Caglayan, Pranava Madhyastha, Lucia Specia, et al.*2019 · 215 citations*](https://md.research.elamur.ai/free/en/papers/caglayan-2019-probing-need-visual-context-multimodal/)
586. [**Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations**Jaehun Jung, Lianhui Qin, Sean Welleck, et al.*2022 · 214 citations*](https://md.research.elamur.ai/free/en/papers/jung-2022-maieutic-prompting-logically-consistent-reasoning/)
587. [**TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task**Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig*2020 · 213 citations*](https://md.research.elamur.ai/free/en/papers/alt-2020-tacred-revisited-thorough-evaluation-tacred/)
588. [**TernaryBERT: Distillation-aware Ultra-low Bit BERT**Wei Zhang, Lu Hou, Yichun Yin, et al.*2020 · 213 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-ternarybert-distillation-aware-ultra-low/)
589. [**Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models**Mosh Levy, Alon Jacoby, Yoav Goldberg*2024 · 212 citations*](https://md.research.elamur.ai/free/en/papers/levy-2024-same-task-more-tokens-impact/)
590. [**GAIA: a benchmark for General AI Assistants**Gregoire Mialon, Clementine Fourrier, Craig Swift, et al.*2023 · 211 citations*](https://md.research.elamur.ai/free/en/papers/mialon-2023-gaia-benchmark-general-ai-assistants/)
591. [**Cheap Translation for Cross-Lingual Named Entity Recognition**Stephen Mayhew, Chen-Tse Tsai, Dan Roth*2017 · 211 citations*](https://md.research.elamur.ai/free/en/papers/mayhew-2017-cheap-translation-cross-lingual-named/)
592. [**Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning**Pan Lu, Liang Qiu, Kai-Wei Chang, et al.*2022 · 210 citations*](https://md.research.elamur.ai/free/en/papers/lu-2022-dynamic-prompt-learning-policy-gradient/)
593. [**Adversarial Training for Weakly Supervised Event Detection**Xiaozhi Wang, Xu Han, Zhiyuan Liu, et al.*2019 · 210 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-adversarial-training-weakly-supervised-event/)
594. [**Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer**Cicero Nogueira dos Santos, Igor Melnyk, Inkit Padhi*2018 · 210 citations*](https://md.research.elamur.ai/free/en/papers/santos-2018-fighting-offensive-language-social-media/)
595. [**LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders**Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.*2024 · 209 citations*](https://md.research.elamur.ai/free/en/papers/behnamghader-2024-llm2vec-large-language-models-secretly/)
596. [**Compressing Context to Enhance Inference Efficiency of Large Language Models**Yucheng Li, Bo Dong, Frank Guerin, et al.*2023 · 209 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-compressing-context-enhance-inference-efficiency/)
597. [**OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models**Anas Awadalla, Irena Gao, Josh Gardner, et al.*2023 · 209 citations*](https://md.research.elamur.ai/free/en/papers/awadalla-2023-openflamingo-open-source-framework-training/)
598. [**Sources of Hallucination by Large Language Models on Inference Tasks**Nick McKenna, Tianyi Li, Liang Cheng, et al.*2023 · 209 citations*](https://md.research.elamur.ai/free/en/papers/mckenna-2023-sources-hallucination-large-language-models/)
599. [**Ring Attention with Blockwise Transformers for Near-Infinite Context**Hao Liu, Matei Zaharia, Pieter Abbeel*2023 · 207 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-ring-attention-blockwise-transformers-near/)
600. [**A Diagram Is Worth A Dozen Images**Aniruddha Kembhavi, Mike Salvato, Eric Kolve, et al.*2016 · 207 citations*](https://md.research.elamur.ai/free/en/papers/kembhavi-2016-diagram-worth-dozen-images/)
601. [**Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs**Oded Ovadia, Menachem Brief, Moshik Mishaeli, et al.*2024 · 206 citations*](https://md.research.elamur.ai/free/en/papers/ovadia-2024-fine-tuning-or-retrieval-comparing/)
602. [**Entities as Experts: Sparse Memory Access with Entity Supervision**Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, et al.*2020 · 206 citations*](https://md.research.elamur.ai/free/en/papers/fevry-2020-entities-as-experts-sparse-memory/)
603. [**Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association**Nan Xu, Zhixiong Zeng, Wenji Mao*2020 · 206 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-reasoning-multimodal-sarcastic-tweets-modeling/)
604. [**Training Question Answering Models From Synthetic Data**Raul Puri, Ryan Spring, Mohammad Shoeybi, et al.*2020 · 206 citations*](https://md.research.elamur.ai/free/en/papers/puri-2020-training-question-answering-models-synthetic/)
605. [**Search-o1: Agentic Search-Enhanced Large Reasoning Models**Xiaoxi Li, Guanting Dong, Jiajie Jin, et al.*2025 · 205 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-search-o1-agentic-search-enhanced/)
606. [**PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization**Wen Xiao, Iz Beltagy, Giuseppe Carenini, et al.*2022 · 205 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2022-primera-pyramid-based-masked-sentence/)
607. [**Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning**Xinyu Wang, Yong Jiang, Nguyen Bach, et al.*2021 · 205 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-improving-named-entity-recognition-external/)
608. [**Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World**Jayant Krishnamurthy, Thomas Kollar*2013 · 205 citations*](https://md.research.elamur.ai/free/en/papers/krishnamurthy-2013-jointly-learning-parse-perceive-connecting/)
609. [**Recursively Summarizing Books with Human Feedback**Jeff Wu, Long Ouyang, Daniel M. Ziegler, et al.*2021 · 204 citations*](https://md.research.elamur.ai/free/en/papers/wu-2021-recursively-summarizing-books-human-feedback/)
610. [**CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters**Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, et al.*2020 · 204 citations*](https://md.research.elamur.ai/free/en/papers/boukkouri-2020-characterbert-reconciling-elmo-bert-word/)
611. [**SALMONN: Towards Generic Hearing Abilities for Large Language Models**Changli Tang, Wenyi Yu, Guangzhi Sun, et al.*2023 · 203 citations*](https://md.research.elamur.ai/free/en/papers/tang-2023-salmonn-towards-generic-hearing-abilities/)
612. [**DeepSeek-VL: Towards Real-World Vision-Language Understanding**Haoyu Lu, Wen Liu, Bo Zhang, et al.*2024 · 201 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-deepseek-vl-real-world/)
613. [**A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check**Dingmin Wang, Yan Song, Jing Li, et al.*2018 · 201 citations*](https://md.research.elamur.ai/free/en/papers/wang-2018-hybrid-approach-automatic-corpus-generation/)
614. [**Learning Structured Text Representations**Yang Liu, Mirella Lapata*2018 · 201 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-learning-structured-text-representations/)
615. [**A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets**Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.*2023 · 200 citations*](https://md.research.elamur.ai/free/en/papers/laskar-2023-systematic-study-comprehensive-evaluation-chatgpt/)
616. [**Denoising Distantly Supervised Open-Domain Question Answering**Yankai Lin, Haozhe Ji, Zhiyuan Liu, et al.*2018 · 199 citations*](https://md.research.elamur.ai/free/en/papers/lin-2018-denoising-distantly-supervised-open-domain/)
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