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ORCIDVladislav Lialin
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2020 – today
- 2024
[c8]Namrata Shivagunde, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky:
Deconstructing In-Context Learning: Understanding Prompts via Corruption. LREC/COLING 2024: 4509-4529- [c7]Anna Rogers, Marzena Karpinska, Ankita Gupta, Vladislav Lialin, Gregory Smelkov, Anna Rumshisky:
NarrativeTime: Dense Temporal Annotation on a Timeline. LREC/COLING 2024: 12053-12073 - [c6]Vladislav Lialin, Sherin Muckatira, Namrata Shivagunde, Anna Rumshisky:
ReLoRA: High-Rank Training Through Low-Rank Updates. ICLR 2024 - [c5]Sherin Muckatira, Vijeta Deshpande, Vladislav Lialin, Anna Rumshisky:
Emergent Abilities in Reduced-Scale Generative Language Models. NAACL-HLT (Findings) 2024: 1242-1257 - [i13]Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang
, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo:
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024) - [i12]Namrata Shivagunde, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky:
Deconstructing In-Context Learning: Understanding Prompts via Corruption. CoRR abs/2404.02054 (2024) - [i11]Sherin Muckatira, Vijeta Deshpande, Vladislav Lialin, Anna Rumshisky:
Emergent Abilities in Reduced-Scale Generative Language Models. CoRR abs/2404.02204 (2024) - 2023
- [c4]Vijeta Deshpande, Dan Pechi, Shree Thatte, Vladislav Lialin, Anna Rumshisky:
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. ACL (Findings) 2023: 5298-5314 - [c3]Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky:
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning. EMNLP 2023: 2094-2107 - [c2]Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza:
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. WACV (Workshops) 2023: 390-400 - [i10]Vladislav Lialin, Vijeta Deshpande, Anna Rumshisky:
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning. CoRR abs/2303.15647 (2023) - [i9]Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky:
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning. CoRR abs/2303.16445 (2023) - [i8]Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza:
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. CoRR abs/2304.02080 (2023) - [i7]Vijeta Deshpande, Dan Pechi, Shree Thatte, Vladislav Lialin, Anna Rumshisky:
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. CoRR abs/2305.17266 (2023) - [i6]Vladislav Lialin, Namrata Shivagunde, Sherin Muckatira, Anna Rumshisky:
Stack More Layers Differently: High-Rank Training Through Low-Rank Updates. CoRR abs/2307.05695 (2023) - [i5]Sarah Pan, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky:
Let's Reinforce Step by Step. CoRR abs/2311.05821 (2023) - 2022
- [c1]Vladislav Lialin, Kevin Zhao, Namrata Shivagunde, Anna Rumshisky:
Life after BERT: What do Other Muppets Understand about Language? ACL (1) 2022: 3180-3193 - [i4]Vladislav Lialin, Kevin Zhao, Namrata Shivagunde, Anna Rumshisky:
Life after BERT: What do Other Muppets Understand about Language? CoRR abs/2205.10696 (2022) - [i3]Eric Lehman, Vladislav Lialin, Katelyn Y. Legaspi, Anne Janelle R. Sy, Patricia Therese S. Pile, Nicole Rose I. Alberto, Richard Raymund R. Ragasa, Corinna Victoria M. Puyat, Isabelle Rose I. Alberto, Pia Gabrielle I. Alfonso, Marianne Taliño, Dana Moukheiber, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits:
Learning to Ask Like a Physician. CoRR abs/2206.02696 (2022) - 2020
- [i2]Vladislav Lialin, Rahul Goel, Andrey Simanovsky, Anna Rumshisky, Rushin Shah:
Continual Learning for Neural Semantic Parsing. CoRR abs/2010.07865 (2020)
2010 – 2019
- 2019
- [i1]David Donahue, Vladislav Lialin, Anna Rumshisky:
Injecting Hierarchy with U-Net Transformers. CoRR abs/1910.10488 (2019)
Coauthor Index
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