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Mao Yang

4 papers hereh-index 372 citations5 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
same name
  • Mao Yang — 14 papers, h 15
  • Mao Yang — 12 papers, h 16
  • Mao Yang — 10 papers, h 12
  • Mao Yang — 7 papers, h 7
  • Mao Yang — 5 papers, h 21
  • Mao Yang — 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

activity
20232025
most citedRetrieval-Generation Synergy Augmented Large Language Models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2025

RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation

Jane Luo, Xin Zhang, Steven Liu +11

Large language models excel at generating individual functions or single files of code, yet generating complete repositories from scratch remains a fundamental challenge. This capa…

cs.CL2025

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models

Zhenghao Lin, Zihao Tang, Xiao Liu +31

We introduce Sigma, an efficient large language model specialized for the system domain, empowered by a novel architecture including DiffQKV attention, and pre-trained on our metic…

cs.CL2024

RedStone: Curating General, Code, Math, and QA Data for Large Language Models

Yaoyao Chang, Lei Cui, Li Dong +13

Pre-training Large Language Models (LLMs) on high-quality, meticulously curated datasets is widely recognized as critical for enhancing their performance and generalization capabil…

cs.CL2023★ 1 cited

Retrieval-Generation Synergy Augmented Large Language Models

Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao +2

Large language models augmented with task-relevant documents have demonstrated impressive performance on knowledge-intensive tasks. However, regarding how to obtain effective docum…

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