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Guanting Dong

Renmin University of China

4 papers hereh-index 198.1k citations42 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.CL4
affiliations
  • Renmin University of China
HomepageORCID 0000-0002-2318-0281
same name
  • Guanting Dong — 27 papers, h 13
  • Guanting Dong — 2 papers, h 4
  • Guanting Dong — 1 paper, h 3
  • Guanting Dong — 1 paper
  • Guanting Dong — 1 paper
  • Guanting Dong — 1 paper, 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

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2025

CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery

Xiaoshuai Song, Muxi Diao, Guanting Dong +13

Large language models (LLMs) have demonstrated significant potential in advancing various fields of research and society. However, the current community of LLMs overly focuses on b…

cs.CL2025

Qwen2.5 Technical Report

Qwen, :, An Yang +41

In this report, we introduce Qwen2.5, a comprehensive series of large language models (LLMs) designed to meet diverse needs. Compared to previous iterations, Qwen 2.5 has been sign…

cs.CL2024

PreAct: Prediction Enhances Agent's Planning Ability

Dayuan Fu, Jianzhao Huang, Siyuan Lu +4

Addressing the disparity between forecasts and actual results can enable individuals to expand their thought processes and stimulate self-reflection, thus promoting accurate planni…

cs.CL2024

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models

Haoran Luo, Haihong E, Zichen Tang +9

Knowledge Base Question Answering (KBQA) aims to answer natural language questions over large-scale knowledge bases (KBs), which can be summarized into two crucial steps: knowledge…

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