Noah Y. Siegel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
5
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | IJCNLP | LLMs Can Covertly Sandbag on Capability Evaluations Against Chain-of-Thought Monitoring. | Chloe Li, Noah Y. Siegel |
| 2024 | ACL | The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models. | Noah Y. Siegel, Oana-Maria Camburu, Nicolas Heess, Mara Prez-Ortiz |
| 2021 | ICML | Data-efficient Hindsight Off-policy Option Learning. | Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller |
| 2020 | ICLR | Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning. | Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller |
| 2019 | CoRL | Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models. | Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller |