121 citations · 131 across the 3 of their papers we have counts for
3 papers
cs.CL2025★ 1 cited
How new data permeates LLM knowledge and how to dilute it
Chen Sun, Renat Aksitov, Andrey Zhmoginov +5
Large language models learn and continually learn through the accumulation of gradient-based updates, but how individual pieces of new information affect existing knowledge, leadin…
cs.AI2023★ 9 cited
Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero
Lisa Schut, Nenad Tomasev, Tom McGrath +3
Artificial Intelligence (AI) systems have made remarkable progress, attaining super-human performance across various domains. This presents us with an opportunity to further human…
cs.LG2019★ 121 cited
An Evaluation of the Human-Interpretability of Explanation
Isaac Lage, Emily Chen, Jeffrey He +4
Recent years have seen a boom in interest in machine learning systems that can provide a human-understandable rationale for their predictions or decisions. However, exactly what ki…