11 citations · 20 across the 10 of their papers we have counts for
3 papers · 1 filter
Adaptive Circuit Behavior and Generalization in Mechanistic Interpretability
Jatin Nainani, Sankaran Vaidyanathan, AJ Yeung +2
Mechanistic interpretability aims to understand the inner workings of large neural networks by identifying circuits, or minimal subgraphs within the model that implement algorithms…
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges
Aman Singh Thakur, Kartik Choudhary, Venkat Srinik Ramayapally +2
Offering a promising solution to the scalability challenges associated with human evaluation, the LLM-as-a-judge paradigm is rapidly gaining traction as an approach to evaluating l…
Automated Discovery of Functional Actual Causes in Complex Environments
Caleb Chuck, Sankaran Vaidyanathan, Stephen Giguere +3
Reinforcement learning (RL) algorithms often struggle to learn policies that generalize to novel situations due to issues such as causal confusion, overfitting to irrelevant factor…