1 citations · 1 across the 3 of their papers we have counts for
4 papers
Beyond Pairwise: Empowering LLM Alignment With Ranked Choice Modeling
Yuxuan Tang, Yifan Feng
Alignment of large language models (LLMs) has predominantly relied on pairwise preference optimization, where annotators select the better of two responses to a prompt. While simpl…
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
Frank F. Xu, Yufan Song, Boxuan Li +18
We interact with computers on an everyday basis, be it in everyday life or work, and many aspects of work can be done entirely with access to a computer and the Internet. At the sa…
Visual Compositional Data Analytics for Spatial Transcriptomics
David Hägele, Yuxuan Tang, Daniel Weiskopf
For the Bio+Med-Vis Challenge 2024, we propose a visual analytics system as a redesign for the scatter pie chart visualization of cell type proportions of spatial transcriptomics d…
On A Mallows-type Model For (Ranked) Choices
Yifan Feng, Yuxuan Tang
We consider a preference learning setting where every participant chooses an ordered list of most preferred items among a displayed set of candidates. (The set can be different…