◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Ruibo Liu

Google DeepMind

27 papers hereh-index 237k citations39 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author11
  • middle author12

Across the 23 of 27 papers where every author was matched, so the position is known.

fields
  • cs.CL22
  • cs.SD4
  • cs.SI1
affiliations
  • Google DeepMind
Homepage
same name
  • Ruibo Liu — 6 papers, h 6
  • Ruibo Liu — 3 papers, h 4
  • Ruibo Liu — 2 papers, h 4
  • Ruibo Liu — 2 papers, h 1
  • Ruibo Liu — 1 paper, h 2
  • Ruibo Liu — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedGemma: Open Models Based on Gemini Research and Technology

238 citations · 434 across the 18 of their papers we have counts for

collaborators
Showing cs.SDShow all

4 papers · 1 filter

cs.SD2023

On the Effectiveness of Speech Self-supervised Learning for Music

Yinghao Ma, Ruibin Yuan, Yizhi Li +12

Self-supervised learning (SSL) has shown promising results in various speech and natural language processing applications. However, its efficacy in music information retrieval (MIR…

cs.SD2023

MARBLE: Music Audio Representation Benchmark for Universal Evaluation

Ruibin Yuan, Yinghao Ma, Yizhi Li +22

In the era of extensive intersection between art and Artificial Intelligence (AI), such as image generation and fiction co-creation, AI for music remains relatively nascent, partic…

cs.SD2023

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

Yizhi Li, Ruibin Yuan, Ge Zhang +17

Self-supervised learning (SSL) has recently emerged as a promising paradigm for training generalisable models on large-scale data in the fields of vision, text, and speech. Althoug…

cs.SD2022★ 2 cited

MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning

Yizhi Li, Ruibin Yuan, Ge Zhang +11

The deep learning community has witnessed an exponentially growing interest in self-supervised learning (SSL). However, it still remains unexplored how to build a framework for lea…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.