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Zhongyuan Wang

8 papers hereh-index 6247 citations13 works total

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

author position
  • middle author5
  • last author1

Across the 6 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV2
  • cs.IR1
  • cs.LG1
same name
  • Zhongyuan Wang — 31 papers, h 16
  • Zhongyuan Wang — 25 papers, h 32
  • Zhongyuan Wang — 16 papers, h 48
  • Zhongyuan Wang — 15 papers, h 11
  • Zhongyuan Wang — 11 papers, h 5
  • Zhongyuan Wang — 10 papers, h 8

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

most citedDialogBench: Evaluating LLMs as Human-like Dialogue Systems

2 citations · 5 across the 8 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2024

Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs

Chenxi Sun, Hongzhi Zhang, Zijia Lin +8

Large language models have demonstrated exceptional capability in natural language understanding and generation. However, their generation speed is limited by the inherently sequen…

cs.CL2023

Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios

Lei Lin, Jiayi Fu, Pengli Liu +7

Although chain-of-thought (CoT) prompting combined with language models has achieved encouraging results on complex reasoning tasks, the naive greedy decoding used in CoT prompting…

cs.CL2023★ 2 cited

DialogBench: Evaluating LLMs as Human-like Dialogue Systems

Jiao Ou, Junda Lu, Che Liu +4

Large language models (LLMs) have achieved remarkable breakthroughs in new dialogue capabilities by leveraging instruction tuning, which refreshes human impressions of dialogue sys…

cs.CL2023

KwaiYiiMath: Technical Report

Jiayi Fu, Lei Lin, Xiaoyang Gao +18

Recent advancements in large language models (LLMs) have demonstrated remarkable abilities in handling a variety of natural language processing (NLP) downstream tasks, even on math…

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