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Hailong Sun

4 papers hereh-index 4216 citations18 works total

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

author position
  • middle author4

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

fields
  • cs.CL2
  • cs.FL1
  • cs.LG1
same name
  • Hailong Sun — 18 papers, h 9
  • Hailong Sun — 6 papers, h 8
  • Hailong Sun — 4 papers, h 25
  • Hailong Sun — 3 papers, h 2
  • Hailong Sun — 1 paper
  • Hailong Sun — 1 paper, h 1

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
20182026
most citedModel Learning: A Survey on Foundation, Tools and Applications

4 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026★ 1 cited

GLM-5: from Vibe Coding to Agentic Engineering

GLM-5-Team, :, Aohan Zeng +184

We present GLM-5, a next-generation foundation model designed to transition the paradigm of vibe coding to agentic engineering. Building upon the agentic, reasoning, and coding (AR…

cs.CL2026

Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs

Yibo Wang, Hai-Long Sun, Qing-Guo Chen +4

Recently, self-play fine-tuning (SPIN) has been proposed to adapt large language models to downstream applications with scarce expert-annotated data, by iteratively generating synt…

cs.CL2023★ 3 cited

YAYI 2: Multilingual Open-Source Large Language Models

Yin Luo, Qingchao Kong, Nan Xu +50

As the latest advancements in natural language processing, large language models (LLMs) have achieved human-level language understanding and generation abilities in many real-world…

cs.FL2018★ 4 cited

Model Learning: A Survey on Foundation, Tools and Applications

Shahbaz Ali, Hailong Sun, Yongwang Zhao

The quality and correct functioning of software components embedded in electronic systems are of utmost concern especially for safety and mission-critical systems. Model-based test…

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