Shashwat Goel

According to our database, Shashwat Goel authored at least 20 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision.

Dulhan Jayalath, Shashwat Goel, Thomas Foster, Parag Jain, Suchin Gururangan, Cheng Zhang, Anirudh Goyal, Alan Schelten

CoRR, September, 2025

The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs.

Akshit Sinha, Arvindh Arun, Shashwat Goel, Steffen Staab, Jonas Geiping

CoRR, September, 2025

What if I ask in <i>alia lingua</i>? Measuring Functional Similarity Across Languages.

Debangan Mishra, Arihant Rastogi, Agyeya Negi, Shashwat Goel, Ponnurangam Kumaraguru

CoRR, September, 2025

Answer Matching Outperforms Multiple Choice for Language Model Evaluation.

Nikhil Chandak, Shashwat Goel, Ameya Prabhu, Moritz Hardt, Jonas Geiping

CoRR, July, 2025

Pitfalls in Evaluating Language Model Forecasters.

Daniel Paleka, Shashwat Goel, Jonas Geiping, Florian Tramèr

CoRR, June, 2025

Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation.

Shiven Sinha, Shashwat Goel, Ponnurangam Kumaraguru, Jonas Geiping, Matthias Bethge, Ameya Prabhu

CoRR, February, 2025

ECLStat: A robust machine learning based visual imaging tool for electrochemiluminescence biosensing.

Abhishek Kumar, Shashwat Goel, Sanket Goel

Comput. Biol. Medicine, 2025

Enhancing AI Safety Through the Fusion of Low Rank Adapters.

Satya Swaroop Gudipudi, Sreeram Vipparla, Harpreet Singh, Shashwat Goel, Ponnurangam Kumaraguru

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2025

A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks.

Varshita Kolipaka, Akshit Sinha, Debangan Mishra, Sumit Kumar, Arvindh Arun, Shashwat Goel, Ponnurangam Kumaraguru

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Great Models Think Alike and this Undermines AI Oversight.

Shashwat Goel, Joschka Strüber, Ilze Amanda Auzina, Karuna K. Chandra, Ponnurangam Kumaraguru, Douwe Kiela, Ameya Prabhu, Matthias Bethge, Jonas Geiping

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Corrective Machine Unlearning.

Shashwat Goel, Ameya Prabhu, Philip Torr, Ponnurangam Kumaraguru, Amartya Sanyal

Trans. Mach. Learn. Res., 2024

A Cognac shot to forget bad memories: Corrective Unlearning in GNNs.

Varshita Kolipaka, Akshit Sinha, Debangan Mishra, Sumit Kumar, Arvindh Arun, Shashwat Goel, Ponnurangam Kumaraguru

CoRR, 2024

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Long Phan, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Adam Khoja, Zhenqi Zhao, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Liu, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Russell Kaplan, Ian Steneker, David Campbell, Brad Jokubaitis, Alex Levinson, Jean Wang, William Qian, Kallol Krishna Karmakar, Steven Basart, Stephen Fitz, Mindy Levine, Ponnurangam Kumaraguru, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks

CoRR, 2024

The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning.

Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Lin, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Ian Steneker, David Campbell, Brad Jokubaitis, Steven Basart, Stephen Fitz, Ponnurangam Kumaraguru, Kallol Krishna Karmakar, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Proportional Aggregation of Preferences for Sequential Decision Making.

Nikhil Chandak, Shashwat Goel, Dominik Peters

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Representation Engineering: A Top-Down Approach to AI Transparency.

Andy Zou, Long Phan, Sarah Li Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks

CoRR, 2023

Low impact agency: review and discussion.

Danilo Naiff, Shashwat Goel

CoRR, 2023

2022

Bilingual dictionary generation and enrichment via graph exploration.

Shashwat Goel, Jorge Gracia, Mikel L. Forcada

Semantic Web, 2022

Evaluating Inexact Unlearning Requires Revisiting Forgetting.

Shashwat Goel, Ameya Prabhu, Ponnurangam Kumaraguru

CoRR, 2022

2021

From Pivots to Graphs: Augmented CycleDensity as a Generalization to One Time InverseConsultation.

Shashwat Goel, Kunwar Shaanjeet Singh Grover

CoRR, 2021