🧑‍🔬 Who cites Akos Kadar

339 citations of their works from 338 papers of our library (of the 141,840 whose bibliographies we read) · 48 with a page here, the most cited first · ← Akos Kadar

1. Sparks of Artificial General Intelligence: Early experiments with GPT-4arXiv:2303.12712Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, et al.2023 · 2,400 citations
   Reflexion: Language Agents with Verbal Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Noah Shinn, Federico Cassano, Edward Berman, et al.2023 · 2,204 citations
2. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,703 citations
   The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,264 citations
3. Prompt Programming for Large Language Models: Beyond the Few-Shot ParadigmarXiv:2102.07350Laria Reynolds, Kyle McDonell2021 · 1,115 citations
   What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic propertiesAnnual Meeting of the Association for Computational Linguistics (ACL)Alexis Conneau, German Kruszewski, Guillaume Lample, et al.2018 · 1,026 citations
4. DocVQA: A Dataset for VQA on Document ImagesarXiv:2007.00398Minesh Mathew, Dimosthenis Karatzas, C.V. Jawahar2020 · 820 citations
   ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical ReasoningFindings of the Association for Computational LinguisticsAhmed Masry, Do Xuan Long, Jia Qing Tan, et al.2022 · 745 citations
   Analysis Methods in Neural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Yonatan Belinkov, James Glass2019 · 737 citations
5. A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)Alane Suhr, Stephanie Zhou, Ally Zhang, et al.2019 · 644 citations
6. Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction TasksarXiv:1608.04207Yossi Adi, Einat Kermany, Yonatan Belinkov, et al.2016 · 591 citations
   Dissecting Contextual Word Embeddings: Architecture and RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP)Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.2018 · 587 citations
   What do Neural Machine Translation Models Learn about Morphology?Annual Meeting of the Association for Computational Linguistics (ACL)Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, et al.2017 · 485 citations
7. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsarXiv:2310.02255Pan Lu, Hritik Bansal, Tony Xia, et al.2023 · 441 citations
8. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 440 citations
   Experience Grounds LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.2020 · 430 citations
9. AgentBench: Evaluating LLMs as AgentsarXiv:2308.03688Xiao Liu, Hao Yu, Hanchen Zhang, et al.2023 · 405 citations
   An Analysis of Encoder Representations in Transformer-Based Machine TranslationEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPAlessandro Raganato, Jörg Tiedemann2018 · 368 citations
10. ALFWorld: Aligning Text and Embodied Environments for Interactive LearningarXiv:2010.03768Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, et al.2020 · 300 citations
11. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 276 citations
12. MiniCPM-V: A GPT-4V Level MLLM on Your PhonearXiv:2408.01800Yuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 267 citations
    DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsConference on Neural Information Processing Systems (NeurIPS)Boxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
    Comparing Automatic and Human Evaluation of Local Explanations for Text ClassificationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dong Nguyen2018 · 240 citations
13. Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging TasksarXiv:1801.07772 · IJCNLP 8 (2017), volume 1, 1-10Yonatan Belinkov, Lluis Marquez, Hassan Sajjad, et al.2017 · 225 citations
    The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPJasmijn Bastings, Katja Filippova2020 · 219 citations
    What matters when building vision-language models?Conference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 195 citations
    Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 184 citations
14. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackarXiv:2309.10691Xingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 137 citations
    UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language ModelFindings of the Association for Computational LinguisticsJiabo Ye, Anwen Hu, Haiyang Xu, et al.2023 · 128 citations
    Keep CALM and Explore: Language Models for Action Generation in Text-based GamesConference on Empirical Methods in Natural Language Processing (EMNLP)Shunyu Yao, Rohan Rao, Matthew Hausknecht, et al.2020 · 127 citations
    Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Li, Yuqi Wang, Runxin Xu, et al.2024 · 123 citations
    UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do, et al.2023 · 119 citations
    mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document UnderstandingFindings of the Association for Computational LinguisticsAnwen Hu, Haiyang Xu, Jiabo Ye, et al.2024 · 109 citations
    SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive TasksConference on Neural Information Processing Systems (NeurIPS)Bill Yuchen Lin, Yicheng Fu, Karina Yang, et al.2023 · 105 citations
    Interpreting Neural Networks to Improve Politeness ComprehensionConference on Empirical Methods in Natural Language Processing (EMNLP)Malika Aubakirova, Mohit Bansal2016 · 87 citations
    Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsWenhao Shi, Zhiqiang Hu, Yi Bin, et al.2024 · 86 citations
    ADaPT: As-Needed Decomposition and Planning with Language ModelsFindings of the Association for Computational LinguisticsArchiki Prasad, Alexander Koller, Mareike Hartmann, et al.2024 · 85 citations
    Neuron-level Interpretation of Deep NLP Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Hassan Sajjad, Nadir Durrani, Fahim Dalvi2022 · 84 citations
    MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction TuningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, et al.2024 · 83 citations
15. RNNs as psycholinguistic subjects: Syntactic state and grammatical dependencyarXiv:1809.01329Richard Futrell, Ethan Wilcox, Takashi Morita, et al.2018 · 75 citations
16. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 64 citations
17. CogVLM2: Visual Language Models for Image and Video UnderstandingarXiv:2408.16500Wenyi Hong, Weihan Wang, Ming Ding, et al.2024 · 52 citations
18. MacBERTh: Development and Evaluation of a Historically Pre-trained Language Model for English (1450-1950)Enrique Manjavacas Arevalo, Lauren Fonteyn2021 · 23 citations
19. A Survey on Automated Sarcasm Detection on TwitterarXiv:2202.02516Bleau Moores, Vijay Mago2022 · 19 citations
20. Lemmatization and POS-tagging process by using joint learning approach. Experimental results on Classical Armenian, Old Georgian, and SyriacChahan Vidal-Gorène, Bastien Kindt2020 · 14 citations
    Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table TranslationFindings of the Association for Computational LinguisticsSeok Hwan Song, Azher Ahmed Efat, Wallapak Tavanapong2026
    STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across DomainsLanguage Resources and Evaluation Conference (LREC)Daniel Steinigen, Lucie Flek, Sebastian Houben2026
21. Slaapte or Sliep? Extending Neural-Network Simulations of English Past Tense Learning to Dutch and GermanXiulin Yang, Jingyan Chen, Arjan van Eerden, et al.2023

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