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Junyuan Gao

9 papers hereh-index 358 citations8 works total

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

author position
  • first author1
  • middle author6

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.CL4
same name
  • Junyuan Gao — 21 papers, h 8
  • Junyuan Gao — 14 papers, h 18
  • Junyuan Gao — 4 papers, h 1
  • Junyuan Gao — 1 paper

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
20242026
most citedVastTrack: Vast Category Visual Object Tracking

4 citations · 4 across the 9 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

RxnCaption: Reformulating Reaction Diagram Parsing as Visual Prompt Guided Captioning

Jiahe Song, Chuang Wang, Bowen Jiang +13

Large-scale chemical reaction datasets are crucial for AI research in chemistry. However, existing chemical reaction data often exist as images within papers, making them not machi…

cs.CL2025

Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering

Bowen Jiang, Runchuan Zhu, Jiang Wu +11

We introduce KoLasSimpleQA, the first benchmark evaluating the multilingual factual ability of Large Language Models (LLMs). Inspired by existing research, we created the question…

cs.CL2025

OpenHuEval: Evaluating Large Language Model on Hungarian Specifics

Haote Yang, Xingjian Wei, Jiang Wu +18

We introduce OpenHuEval, the first benchmark for LLMs focusing on the Hungarian language and specifics. OpenHuEval is constructed from a vast collection of Hungarian-specific mater…

cs.CV2025

Benchmarking and Boosting Multilingual Capabilities of LVLMs via OCR-Centric Reinforcement Learning

Junyuan Gao, Jiahe Song, Jiang Wu +9

Evaluating the multilingual capabilities of Large Vision-Language Models (LVLMs) remains challenging because most benchmarks rely on non-parallel corpora, making it unclear whether…

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