1 code implementation • 23 Oct 2023 • Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan
We show that MechanisticProbe is able to detect the information of the reasoning tree from the model's attentions for most examples, suggesting that the LM indeed is going through a process of multi-step reasoning within its architecture in many cases.
1 code implementation • 28 May 2023 • Yu Fei, Yifan Hou, Zeming Chen, Antoine Bosselut
In this work, we define a typology for three types of label biases in ICL for text classification: vanilla-label bias, context-label bias, and domain-label bias (which we conceptualize and detect for the first time).
1 code implementation • 29 Oct 2022 • Yu Fei, Ping Nie, Zhao Meng, Roger Wattenhofer, Mrinmaya Sachan
We further explore the applicability of our clustering approach by evaluating it on 14 datasets with more diverse topics, text lengths, and numbers of classes.
no code implementations • 19 Nov 2015 • Yu Fei, Zeng An, Gillard Sebastien, Medo Matus
Recommender systems are a vital tool that helps us to overcome the information overload problem.