Shashwat Goel

Orcid: 0000-0003-3735-6417

According to our database1, Shashwat Goel authored at least 26 papers between 2021 and 2026.

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Timeline

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Bibliography

2026
FutureSim: Replaying World Events to Evaluate Adaptive Agents.
CoRR, May, 2026

Intrinsic Credit Assignment for Long Horizon Interaction.
CoRR, February, 2026

Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks.
CoRR, February, 2026

2025
Scaling Open-Ended Reasoning to Predict the Future.
CoRR, December, 2025

Training AI Co-Scientists Using Rubric Rewards.
CoRR, December, 2025

Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision.
CoRR, September, 2025

The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs.
CoRR, September, 2025

What if I ask in <i>alia lingua</i>? Measuring Functional Similarity Across Languages.
CoRR, September, 2025

Answer Matching Outperforms Multiple Choice for Language Model Evaluation.
CoRR, July, 2025

Pitfalls in Evaluating Language Model Forecasters.
CoRR, June, 2025

Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation.
CoRR, February, 2025

ECLStat: A robust machine learning based visual imaging tool for electrochemiluminescence biosensing.
Comput. Biol. Medicine, 2025

Enhancing AI Safety Through the Fusion of Low Rank Adapters.
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.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Great Models Think Alike and this Undermines AI Oversight.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Corrective Machine Unlearning.
Trans. Mach. Learn. Res., 2024

A Cognac shot to forget bad memories: Corrective Unlearning in GNNs.
CoRR, 2024

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.
CoRR, 2024


Improving Bias Metrics in Vision-Language Models by Addressing Inherent Model Disabilities.
Proceedings of the Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation, 2024

Proportional Aggregation of Preferences for Sequential Decision Making.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Representation Engineering: A Top-Down Approach to AI Transparency.
CoRR, 2023

Low impact agency: review and discussion.
CoRR, 2023

2022
Bilingual dictionary generation and enrichment via graph exploration.
Semantic Web, 2022

Evaluating Inexact Unlearning Requires Revisiting Forgetting.
CoRR, 2022

2021
From Pivots to Graphs: Augmented CycleDensity as a Generalization to One Time InverseConsultation.
CoRR, 2021


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