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Ravid Shwartz-Ziv

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

11

Venues

6

Active years

2021–2025

Best venue rank

A*

Where they publish

Papers

11 indexed papers, newest first.

YearVenueTitleAuthors
2025AISTATSFine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable.Tim G. J. Rudner, Xiang Pan, Yucen Lily Li, Ravid Shwartz-Ziv, Andrew Gordon Wilson
2025CVPRRate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation.Tal Zeevi, Ravid Shwartz-Ziv, Yann LeCun, Lawrence H. Staib, John A. Onofrey
2025EMNLPThe Illusion of Progress: Re-evaluating Hallucination Detection in LLMs.Denis Janiak, Jakub Binkowski, Albert Sawczyn, Bogdan Gabrys, Ravid Shwartz-Ziv, Tomasz Kajdanowicz
2025ICLRSeq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning.Md Rifat Arefin, Gopeshh Subbaraj, Nicolas Gontier, Yann LeCun, Irina Rish, Ravid Shwartz-Ziv, Christopher Pal
2025ICLRTurning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs.Nguyen Nhat Minh, Andrew Baker, Clement Neo, Allen G. Roush, Andreas Kirsch, Ravid Shwartz-Ziv
2025ICLRLiveBench: A Challenging, Contamination-Limited LLM Benchmark.Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Sreemanti Dey, Shubh-Agrawal, Sandeep Singh Sandha, Siddartha V. Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum
2025ICMLLayer by Layer: Uncovering Hidden Representations in Language Models.Oscar Skean, Md Rifat Arefin, Dan Zhao, Niket Patel, Jalal Naghiyev, Yann LeCun, Ravid Shwartz-Ziv
2024ICLRSudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs.Angelica Chen, Ravid Shwartz-Ziv, Kyunghyun Cho, Matthew L. Leavitt, Naomi Saphra
2024ICMLThe Entropy Enigma: Success and Failure of Entropy Minimization.Ori Press, Ravid Shwartz-Ziv, Yann LeCun, Matthias Bethge
2023ICLRHow Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization.Jonas Geiping, Micah Goldblum, Gowthami Somepalli, Ravid Shwartz-Ziv, Tom Goldstein, Andrew Gordon Wilson
2021KDDAutomated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies.Lev Faivishevsky, Adi Szeskin, Ashwin K. Muppalla, Ravid Shwartz-Ziv, Itamar Ben-Ari, Ronen Laperdon, Benjamin Melloul, Tahi Hollander, Tom Hope, Amitai Armon