2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Impact of Preference Noise on the Alignment Performance of Generative Language Models
Yang Gao, Dana Alon, Donald Metzler
A key requirement in developing Generative Language Models (GLMs) is to have their values aligned with human values. Preference-based alignment is a widely used paradigm for this p…
cs.IR2023★ 2 cited
PaRaDe: Passage Ranking using Demonstrations with Large Language Models
Andrew Drozdov, Honglei Zhuang, Zhuyun Dai +8
Recent studies show that large language models (LLMs) can be instructed to effectively perform zero-shot passage re-ranking, in which the results of a first stage retrieval method,…
cs.CL2023
OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement
Yang Gao, Ji Ma, Ivan Korotkov +3
We develop and evaluate multilingual scientific documents similarity measurement models in this work. Such models can be used to find related works in different languages, which ca…