8 citations · 9 across the 5 of their papers we have counts for
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cs.AI2025
Mind The Gap: Quantifying Mechanistic Gaps in Algorithmic Reasoning via Neural Compilation
Lucas Saldyt, Subbarao Kambhampati
This paper aims to understand how neural networks learn algorithmic reasoning by addressing two questions: How faithful are learned algorithms when they are effective, and why do n…
cs.AI2023
Incorporating Human Flexibility through Reward Preferences in Human-AI Teaming
Siddhant Bhambri, Mudit Verma, Upasana Biswas +2
Preference-based Reinforcement Learning (PbRL) has made significant strides in single-agent settings, but has not been studied for multi-agent frameworks. On the other hand, modeli…