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Jipeng Zhang

Hong Kong University of Science and Technology

35 papers hereh-index 273.2k citations50 works total

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

author position
  • first author3
  • middle author27
  • last author1

Across the 31 of 35 papers where every author was matched, so the position is known.

fields
  • cs.CL14
  • cs.CV8
  • cs.LG6
  • cs.AI4
  • cs.CR1
  • cs.FL1
affiliations
  • Hong Kong University of Science and Technology
Homepage
same name
  • Jipeng Zhang — 20 papers, h 8
  • Jipeng Zhang — 17 papers
  • Jipeng Zhang — 1 paper
  • Jipeng Zhang — 1 paper, h 5

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
20212025
most citedRAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

32 citations · 88 across the 34 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

4 papers · 2 filters

cs.CL2023★ 5 cited

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model

Jiahui Gao, Renjie Pi, Jipeng Zhang +8

Large language models (LLMs) have shown remarkable proficiency in human-level reasoning and generation capabilities, which encourages extensive research on their application in mat…

cs.CL2023★ 3 cited

MarineGPT: Unlocking Secrets of Ocean to the Public

Ziqiang Zheng, Jipeng Zhang, Tuan-Anh Vu +3

Large language models (LLMs), such as ChatGPT/GPT-4, have proven to be powerful tools in promoting the user experience as an AI assistant. The continuous works are proposing multi-…

cs.CL2023

Non-Autoregressive Sentence Ordering

Yi Bin, Wenhao Shi, Bin Ji +3

Existing sentence ordering approaches generally employ encoder-decoder frameworks with the pointer net to recover the coherence by recurrently predicting each sentence step-by-step…

cs.CL2023★ 6 cited

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

Shizhe Diao, Rui Pan, Hanze Dong +4

Foundation models have demonstrated a great ability to achieve general human-level intelligence far beyond traditional approaches. As the technique keeps attracting attention from…

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