Vladislav Lialin

21 papers A* 2Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2024 — conf
Deconstructing In-Context Learning: Understanding Prompts via Corruption.
LREC/COLING
Namrata Shivagunde, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky
2024 J jnl
Deconstructing In-Context Learning: Understanding Prompts via Corruption.
CoRR
Namrata Shivagunde, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky
2024 — conf
Emergent Abilities in Reduced-Scale Generative Language Models.
NAACL-HLT (Findings)
Sherin Muckatira, Vijeta Deshpande, Vladislav Lialin, Anna Rumshisky
2024 J jnl
Emergent Abilities in Reduced-Scale Generative Language Models.
CoRR
Sherin Muckatira, Vijeta Deshpande, Vladislav Lialin, Anna Rumshisky
2024 — conf
NarrativeTime: Dense Temporal Annotation on a Timeline.
LREC/COLING
Anna Rogers, Marzena Karpinska, Ankita Gupta, Vladislav Lialin, Gregory Smelkov, Anna Rumshisky
2024 A* conf
ReLoRA: High-Rank Training Through Low-Rank Updates.
ICLR
Vladislav Lialin, Sherin Muckatira, Namrata Shivagunde, Anna Rumshisky
2024 J jnl
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.
CoRR
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
2023 — conf
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale.
ACL (Findings)
Vijeta Deshpande, Dan Pechi, Shree Thatte, Vladislav Lialin, Anna Rumshisky
2023 J jnl
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale.
CoRR
Vijeta Deshpande, Dan Pechi, Shree Thatte, Vladislav Lialin, Anna Rumshisky
2023 A* conf
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning.
EMNLP
Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky
2023 J jnl
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning.
CoRR
Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky
2023 J jnl
Let's Reinforce Step by Step.
CoRR
Sarah Pan, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky
2023 — conf
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data.
WACV (Workshops)
Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza
2023 J jnl
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data.
CoRR
Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza
2023 J jnl
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.
CoRR
Vladislav Lialin, Vijeta Deshpande, Anna Rumshisky
2023 J jnl
Stack More Layers Differently: High-Rank Training Through Low-Rank Updates.
CoRR
Vladislav Lialin, Namrata Shivagunde, Sherin Muckatira, Anna Rumshisky
2022 J jnl
Learning to Ask Like a Physician.
CoRR
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
2022 — conf
Life after BERT: What do Other Muppets Understand about Language?
ACL (1)
Vladislav Lialin, Kevin Zhao, Namrata Shivagunde, Anna Rumshisky
2022 J jnl
Life after BERT: What do Other Muppets Understand about Language?
CoRR
Vladislav Lialin, Kevin Zhao, Namrata Shivagunde, Anna Rumshisky
2020 J jnl
Continual Learning for Neural Semantic Parsing.
CoRR
Vladislav Lialin, Rahul Goel, Andrey Simanovsky, Anna Rumshisky, Rushin Shah
2019 J jnl
Injecting Hierarchy with U-Net Transformers.
CoRR
David Donahue, Vladislav Lialin, Anna Rumshisky