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Jiajun Xu

15 papers hereh-index 7679 citations20 works total

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

author position
  • first author4
  • middle author11

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV3
  • cs.LG3
  • cs.AI1
  • cs.AR1
  • cs.MM1
same name
  • Jiajun Xu — 8 papers, h 8
  • Jiajun Xu — 2 papers, h 0
  • Jiajun Xu — 2 papers, h 19
  • Jiajun Xu — 1 paper, h 18
  • Jiajun Xu — 1 paper, h 1
  • Jiajun Xu — 1 paper, h 14

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
20242026
most citedLarge Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

75 citations · 84 across the 15 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation

Jiazheng Xu, Yu Huang, Jiale Cheng +19

Visual generative models have achieved remarkable progress in synthesizing photorealistic images and videos, yet aligning their outputs with human preferences across critical dimen…

cs.CL2024★ 4 cited

On-Device Language Models: A Comprehensive Review

Jiajun Xu, Zhiyuan Li, Wei Chen +4

The advent of large language models (LLMs) revolutionized natural language processing applications, and running LLMs on edge devices has become increasingly attractive for reasons…

cs.AR2024

A General-Purpose Device for Interaction with LLMs

Jiajun Xu, Qun Wang, Yuhang Cao +2

This paper investigates integrating large language models (LLMs) with advanced hardware, focusing on developing a general-purpose device designed for enhanced interaction with LLMs…

cs.LG2024★ 75 cited

Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

Jing Su, Chufeng Jiang, Xin Jin +7

This systematic literature review comprehensively examines the application of Large Language Models (LLMs) in forecasting and anomaly detection, highlighting the current state of r…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.