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ORCIDShivam Raval
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2020 – today
- 2026
[c6]Shivam Raval
, Kevin Dunnell, Andrew Lippman:
Latent manipulator: using concept-guided embedding manipulation to steer embedding visualizations. CHI Extended Abstracts 2026: 425:1-425:6- [i16]Georgi Ivanov, Narmeen Oozeer, Shivam Raval, Tasana Pejovic, Shriyash Upadhyay, Amir Abdullah:
Spectral Superposition: A Theory of Feature Geometry. CoRR abs/2602.02224 (2026) - [i15]Idhant Gulati, Shivam Raval:
Narrow fine-tuning erodes safety alignment in vision-language agents. CoRR abs/2602.16931 (2026) - [i14]Marmik Chaudhari, Idhant Gulati, Nishkal Hundia, Pranav Karra, Shivam Raval:
MoE Lens - An Expert Is All You Need. CoRR abs/2603.05806 (2026) - [i13]Shivam Raval, Hae Jin Song, Linlin Wu, Abir Harrasse, Jeff M. Phillips, Fazl Barez, Amirali Abdullah:
Curveball Steering: The Right Direction To Steer Isn't Always Linear. CoRR abs/2603.09313 (2026) - [i12]Nirmalendu Prakash, Narmeen Oozeer, Michael Lan, Luka Samkharadze, Phillip Howard, Roy Ka-Wei Lee, Dhruv Nathawani, Shivam Raval, Amirali Abdullah:
DreamReader: An Interpretability Toolkit for Text-to-Image Models. CoRR abs/2603.13299 (2026) - [i11]Benjamin Maltbie, Shivam Raval:
Intersectional Sycophancy: How Perceived User Demographics Shape False Validation in Large Language Models. CoRR abs/2604.11609 (2026) - [i10]Nirmalendu Prakash, Narmeen Oozeer, Xin Su, Phillip Howard, Shaan Shah, Zoe Wanying He, Shuang Wu, Shivam Raval, Roy Ka-Wei Lee, Meenakshi Khosla, Amir Abdullah:
Geometry-Aware CLIP Retrieval via Local Cross-Modal Alignment and Steering. CoRR abs/2604.16487 (2026) - [i9]Aryan Sharma, Cutter Dawes, Shivam Raval:
Dissociating Decodability and Causal Use in Bracket-Sequence Transformers. CoRR abs/2604.22128 (2026) - [i8]Cutter Dawes, Aryan Sharma, Angelos Ioannis Lagos, Shivam Raval:
H-Probes: Extracting Hierarchical Structures From Latent Representations of Language Models. CoRR abs/2605.00847 (2026) - [i7]Narmeen Oozeer, Shivam Raval, Philip Quirke, Manikandan Ravikiran, Jeff M. Phillips, Shriyash Upadhyay, Amirali Abdullah:
Riemannian-Manifold Steering: Geometry-Aware Generative Autoencoders for Label-Free Steering. CoRR abs/2605.24942 (2026) - 2025
- [i6]Gerard Boxo, Ryan Socha, Daniel Yoo, Shivam Raval:
Caught in the Act: a mechanistic approach to detecting deception. CoRR abs/2508.19505 (2025) - [i5]Gerard Boxo, Aman Neelappa, Shivam Raval:
Towards mitigating information leakage when evaluating safety monitors. CoRR abs/2509.21344 (2025) - [i4]Alexandra Yost, Shreyans Jain, Shivam Raval, Grant Corser, Allen Roush, Nina Xu, Jacqueline Hammack, Ravid Shwartz-Ziv, Amirali Abdullah:
Measure what Matters: Psychometric Evaluation of AI with Situational Judgment Tests. CoRR abs/2510.22170 (2025) - 2024
- [c5]Shivam Raval, Fernanda B. Viégas, Martin Wattenberg:
Hypertrix: An indicatrix for high-dimensional visualizations. IEEE VIS 2024: 1-5 - [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
Coauthor Index
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