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2020 – today
- 2024
[i3]Yida Chen, Aoyu Wu, Trevor DePodesta, Catherine Yeh, Kenneth Li, Nicholas Castillo Marin, Oam Patel, Jan Riecke, Shivam Raval, Olivia Seow, Martin Wattenberg, Fernanda B. Viégas:
Designing a Dashboard for Transparency and Control of Conversational AI. CoRR abs/2406.07882 (2024)- 2023
- [c4]Shivam Raval, Carolyn Wang, Fernanda B. Viégas, Martin Wattenberg:
Explain-and-Test: An Interactive Machine Learning Framework for Exploring Text Embeddings. IEEE VIS (Short Papers) 2023: 216-220 - 2021
- [c3]Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi:
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. EMNLP (Findings) 2021: 3398-3403 - [c2]Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni:
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. EMNLP (Findings) 2021: 3534-3546 - [i2]Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni:
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. CoRR abs/2109.05815 (2021) - [i1]Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi:
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. CoRR abs/2109.07424 (2021)
2010 – 2019
- 2018
- [c1]Shivam Raval, Dhaval K. Patel
, Miguel López-Benítez:
Performance Analysis of Improved Energy Detection in Full Duplex Non-Time-Slotted Cognitive Radio. ANTS 2018: 1-6
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