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Vladislav Lialin

Observed name: Lialin, Vladislav
OpenAlex ID: A5026934685
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
2023 · Lialin, Vladislav, Deshpande, Vijeta, et al. · arXiv (Cornell University) · 88
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ReLoRA: High-Rank Training Through Low-Rank Updates
2023 · Lialin, Vladislav, Shivagunde, Namrata, et al. · arXiv (Cornell University) · 14
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Learning to Ask Like a Physician
2022 · Eric Lehman, Vladislav Lialin, et al. · Clinical Natural Language Processing Workshop (ClinicalNLP) · 10
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Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data
2023 · Vladislav Lialin, Stephen Rawls, et al. · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) · 8
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Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale.
2023 · Vijeta Deshpande, Dan Pechi, et al. · 4
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Life after BERT: What do Other Muppets Understand about Language?
2022 · Vladislav Lialin, Kevin Zhao, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 4
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Update Frequently, Update Fast: Retraining Semantic Parsing Systems in a Fraction of Time
2020 · Lialin, Vladislav, Goel, Rahul, et al. · arXiv (Cornell University) · 3
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Deconstructing In-Context Learning: Understanding Prompts via Corruption
2024 · Namrata Shivagunde, Vladislav Lialin, et al. · Language Resources and Evaluation Conference (LREC) · 2
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Emergent Abilities in Reduced-Scale Generative Language Models
2024 · Sherin Muckatira, Vijeta Deshpande, et al. · Findings of the Association for Computational Linguistics: NAACL · 2
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Let's Reinforce Step by Step
2023 · Pan, Sarah, Lialin, Vladislav, et al. · arXiv (Cornell University) · 1
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Continual Learning for Neural Semantic Parsing
2020 · Vladislav Lialin, Rahul Goel, et al. · arXiv (Cornell University) · 1
$π_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
2026 · Intelligence, Physical, Ai, Bo, et al. · arXiv (Cornell University)
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Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
2024 · Jeong, Hyewon, Jabbour, Sarah, et al. · arXiv (Cornell University)
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Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning
2023 · Namrata Shivagunde, Vladislav Lialin, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Learning to Ask Like a Physician
2022 · Lehman, Eric, Lialin, Vladislav, et al. · arXiv (Cornell University)
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Injecting Hierarchy with U-Net Transformers
2019 · Donahue, David, Lialin, Vladislav, et al. · arXiv (Cornell University)
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NarrativeTime: Dense Temporal Annotation on a Timeline
2019 · Rogers, Anna, Karpinska, Marzena, et al. · arXiv (Cornell University)
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Управление качеством изделий массового производства с применением теории нейронных сетей
2011 · О. В. Пантюхин, Vladislav Lialin, et al. · Известия Тульского государственного университета. Технические науки
Метод применения искусственных нейронных сетей для прогнозирования параметров качества патронов
2011 · Н. А. Тарасова, Vladislav Lialin, et al. · Известия Тульского государственного университета. Технические науки
Прогнозирование параметров качества гильзы патрона спортивно-охотничьего калибра 7,62х39 мм
2010 · О. В. Пантюхин, Vladislav Lialin, et al. · Известия Тульского государственного университета. Технические науки
Учёт влияния параметров оборудования на качество изготовления гильз патронов спортивно-охотничьих
2009 · О. В. Пантюхин, Vladislav Lialin, et al. · Известия Тульского государственного университета. Технические науки
Works count: 29
Citation count: 138
H-index: 4
I10-index: 3
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