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researcher

Chenghao Yang

14 papers hereh-index 5174 citations19 works total

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

author position
  • sole author1
  • first author4
  • middle author9

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL11
  • cs.LG2
  • cs.CR1
same name
  • Chenghao Yang — 17 papers, h 11
  • Chenghao Yang — 2 papers, h 2
  • Chenghao Yang — 2 papers, h 2
  • Chenghao Yang — 1 paper
  • Chenghao Yang — 1 paper, h 1

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 citedHello Again! LLM-powered Personalized Agent for Long-term Dialogue

4 citations · 4 across the 14 of their papers we have counts for

collaborators
Showing 2025 · cs.CLShow all

4 papers · 2 filters

cs.CL2025

MME-CC: A Challenging Multi-Modal Evaluation Benchmark of Cognitive Capacity

Kaiyuan Zhang, Chenghao Yang, Zhoufutu Wen +19

As reasoning models scale rapidly, the essential role of multimodality in human cognition has come into sharp relief, driving a growing need to probe vision-centric cognitive behav…

cs.CL2025

DiscoX: Benchmarking Discourse-Level Translation task in Expert Domains

Xiying Zhao, Zhoufutu Wen, Zhixuan Chen +20

The evaluation of discourse-level translation in expert domains remains inadequate, despite its centrality to knowledge dissemination and cross-lingual scholarly communication. Whi…

cs.CL2025

Optimizing Diversity and Quality through Base-Aligned Model Collaboration

Yichen Wang, Chenghao Yang, Tenghao Huang +3

Alignment has greatly improved large language models (LLMs)' output quality at the cost of diversity, yielding highly similar outputs across generations, especially in open-ended g…

cs.CL2025

MARS-Bench: A Multi-turn Athletic Real-world Scenario Benchmark for Dialogue Evaluation

Chenghao Yang, Yinbo Luo, Zhoufutu Wen +8

Large Language Models (\textbf{LLMs}), e.g. ChatGPT, have been widely adopted in real-world dialogue applications. However, LLMs' robustness, especially in handling long complex di…

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