◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yong Liu

8 papers hereh-index 8191 citations11 works total

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

author position
  • middle author3
  • last author4

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.IR3
  • cs.AI1
same name
  • Yong Liu — 49 papers, h 75
  • Yong Liu — 40 papers, h 16
  • Yong Liu — 29 papers, h 22
  • Yong Liu — 28 papers, h 14
  • Yong Liu — 24 papers, h 13
  • Yong Liu — 23 papers, h 12

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

most citedEvaluating the External and Parametric Knowledge Fusion of Large Language Models

13 citations · 13 across the 8 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2024★ 13 cited

Evaluating the External and Parametric Knowledge Fusion of Large Language Models

Hao Zhang, Yuyang Zhang, Xiaoguang Li +8

Integrating external knowledge into large language models (LLMs) presents a promising solution to overcome the limitations imposed by their antiquated and static parametric memory.…

cs.CL2024

CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control

Huanshuo Liu, Hao Zhang, Zhijiang Guo +6

Retrieval-augmented generation (RAG) has emerged as a promising solution for mitigating hallucinations of large language models (LLMs) with retrieved external knowledge. Adaptive R…

cs.CL2024

Multi-view Content-aware Indexing for Long Document Retrieval

Kuicai Dong, Derrick Goh Xin Deik, Yi Quan Lee +4

Long document question answering (DocQA) aims to answer questions from long documents over 10k words. They usually contain content structures such as sections, sub-sections, and pa…

cs.CL2024

Parameter-Efficient Conversational Recommender System as a Language Processing Task

Mathieu Ravaut, Hao Zhang, Lu Xu +2

Conversational recommender systems (CRS) aim to recommend relevant items to users by eliciting user preference through natural language conversation. Prior work often utilizes exte…

◍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.