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Jiaxin Mao

7 papers hereh-index 436 citations10 works total

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

author position
  • middle author5
  • last author2

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

fields
  • cs.CL4
  • cs.IR2
  • cs.LG1
same name
  • Jiaxin Mao — 17 papers, h 7
  • Jiaxin Mao — 13 papers, h 16
  • Jiaxin Mao — 8 papers, h 23
  • Jiaxin Mao — 8 papers, h 6
  • Jiaxin Mao — 5 papers, h 4
  • Jiaxin Mao — 4 papers, h 3

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 citedTowards Effective and Efficient Continual Pre-training of Large Language Models

2 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2025

FinS-Pilot: A Benchmark for Online Financial RAG System

Feng Wang, Yiding Sun, Jiaxin Mao +2

Large language models (LLMs) have demonstrated remarkable capabilities across various professional domains, with their performance typically evaluated through standardized benchmar…

cs.CL2024

BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline

Guosheng Dong, Da Pan, Yiding Sun +17

The general capabilities of Large Language Models (LLM) highly rely on the composition and selection on extensive pretraining datasets, treated as commercial secrets by several ins…

cs.CL2024★ 2 cited

Towards Effective and Efficient Continual Pre-training of Large Language Models

Jie Chen, Zhipeng Chen, Jiapeng Wang +16

Continual pre-training (CPT) has been an important approach for adapting language models to specific domains or tasks. To make the CPT approach more traceable, this paper presents…

cs.CL2024

YuLan: An Open-source Large Language Model

Yutao Zhu, Kun Zhou, Kelong Mao +35

Large language models (LLMs) have become the foundation of many applications, leveraging their extensive capabilities in processing and understanding natural language. While many o…

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