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Yiming Wang

Shanghai Jiao Tong University

19 papers hereh-index 9725 citations21 works total

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

author position
  • first author7
  • middle author8

Across the 15 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CL12
  • cs.LG3
  • cs.CV2
  • cs.AI1
  • cs.SD1
affiliations
  • Shanghai Jiao Tong University
HomepageORCID 0000-0001-5821-8895
same name
  • Yiming Wang — 25 papers, h 18
  • Yiming Wang — 22 papers, h 9
  • Yiming Wang — 14 papers, h 6
  • Yiming Wang — 9 papers, h 19
  • Yiming Wang — 9 papers, h 4
  • Yiming Wang — 8 papers, h 2

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
20232026
most citedIgniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents

11 citations · 17 across the 15 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

3 papers · 2 filters

cs.CL2023★ 11 cited

Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents

Zhuosheng Zhang, Yao Yao, Aston Zhang +8

Large language models (LLMs) have dramatically enhanced the field of language intelligence, as demonstrably evidenced by their formidable empirical performance across a spectrum of…

cs.CL2023★ 1 cited

Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models

Yiming Wang, Zhuosheng Zhang, Pei Zhang +2

Neural-symbolic methods have demonstrated efficiency in enhancing the reasoning abilities of large language models (LLMs). However, existing methods mainly rely on syntactically ma…

cs.CL2023

Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method

Yiming Wang, Zhuosheng Zhang, Rui Wang

Automatic summarization generates concise summaries that contain key ideas of source documents. As the most mainstream datasets for the news sub-domain, CNN/DailyMail and BBC XSum…

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