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Yongqiang Liu

6 papers hereh-index 324 citations11 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 6 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG2
same name
  • Yongqiang Liu — 26 papers, h 10
  • Yongqiang Liu — 3 papers, h 1
  • Yongqiang Liu — 2 papers, h 2
  • Yongqiang Liu — 1 paper, h 1
  • Yongqiang Liu — 1 paper, h 1
  • Yongqiang Liu — 1 paper, h 0

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 citedOrion-14B: Open-source Multilingual Large Language Models

2 citations · 3 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

MARDoc: A Memory-Aware Refinement Agent Framework for Multimodal Long Document QA

Kaifeng Chen, Hongtao Liu, Qiyao Peng +4

Iterative retrieval-reasoning agents have recently shown promise for multimodal long-document question answering. However, most existing systems maintain a single growing context t…

cs.CL2026

Adam's Law: Textual Frequency Law on Large Language Models

Hongyuan Adam Lu, Z. L., Victor Wei +5

While textual frequency has been validated as relevant to human cognition in reading speed, its relatedness to Large Language Models (LLMs) is seldom studied. We propose a novel re…

cs.CL2025

From KMMLU-Redux to KMMLU-Pro: A Professional Korean Benchmark Suite for LLM Evaluation

Seokhee Hong, Sunkyoung Kim, Guijin Son +3

The development of Large Language Models (LLMs) requires robust benchmarks that encompass not only academic domains but also industrial fields to effectively evaluate their applica…

cs.CL2024★ 2 cited

Orion-14B: Open-source Multilingual Large Language Models

Du Chen, Yi Huang, Xiaopu Li +7

In this study, we introduce Orion-14B, a collection of multilingual large language models with 14 billion parameters. We utilize a data scheduling approach to train a foundational…

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