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Di Yang

4 papers hereh-index 3138 citations6 works total

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

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.CV1
same name
  • Di Yang — 159 papers
  • Di Yang — 41 papers, h 16
  • Di Yang — 15 papers
  • Di Yang — 13 papers, h 9
  • Di Yang — 8 papers, h 2
  • Di Yang — 7 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 citedHarnessing Multiple Large Language Models: A Survey on LLM Ensemble

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

collaborators

4 papers

cs.CL2025

LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination

Ziming Zhu, Chenglong Wang, Haosong Xv +8

Despite the remarkable progress of modern machine translation (MT) systems on general-domain texts, translating structured LaTeX-formatted documents remains a significant challenge…

cs.CL2025★ 5 cited

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble

Zhijun Chen, Xiaodong Lu, Jingzheng Li +12

LLM Ensemble -- which involves the comprehensive use of multiple large language models (LLMs), each aimed at handling user queries during downstream inference, to benefit from thei…

cs.CV2024★ 1 cited

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data

Chenglong Wang, Yang Gan, Yifu Huo +9

Large vision-language models (LVLMs) often fail to align with human preferences, leading to issues like generating misleading content without proper visual context (also known as h…

cs.CL2023★ 2 cited

Prompting Neural Machine Translation with Translation Memories

Abudurexiti Reheman, Tao Zhou, Yingfeng Luo +3

Improving machine translation (MT) systems with translation memories (TMs) is of great interest to practitioners in the MT community. However, previous approaches require either a…

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