2 citations · 4 across the 4 of their papers we have counts for
3 papers · 1 filter
Global-to-Local Support Spectrums for Language Model Explainability
Lucas Agussurja, Xinyang Lu, Bryan Kian Hsiang Low
Existing sample-based methods, like influence functions and representer points, measure the importance of a training point by approximating the effect of its removal from training.…
Data-Centric AI in the Age of Large Language Models
Xinyi Xu, Zhaoxuan Wu, Rui Qiao +16
This position paper proposes a data-centric viewpoint of AI research, focusing on large language models (LLMs). We start by making the key observation that data is instrumental in…
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
Lucas Agussurja, Xinyi Xu, Bryan Kian Hsiang Low
Measuring contributions is a classical problem in cooperative game theory where the Shapley value is the most well-known solution concept. In this paper, we establish the convergen…