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researcher

Yanyang Li

The Chinese University of Hong Kong

25 papers hereh-index 15761 citations31 works total

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

author position
  • first author9
  • middle author14
  • last author1

Across the 24 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CL19
  • cs.CV4
  • cs.LG2
affiliations
  • The Chinese University of Hong Kong
same name
  • Yanyang Li — 6 papers, h 1
  • Yanyang Li — 3 papers, h 1
  • Yanyang Li — 2 papers, 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
20202026
most citedMulti-layer Representation Fusion for Neural Machine Translation

46 citations · 74 across the 23 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 1 cited

VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control

Zi-Yuan Hu, Yanyang Li, Michael R. Lyu +1

As the model size of pre-trained language models (PLMs) grows rapidly, full fine-tuning becomes prohibitively expensive for model training and storage. In vision-and-language (VL),…

cs.CL2023

CLEVA: Chinese Language Models EVAluation Platform

Yanyang Li, Jianqiao Zhao, Duo Zheng +8

With the continuous emergence of Chinese Large Language Models (LLMs), how to evaluate a model's capabilities has become an increasingly significant issue. The absence of a compreh…

cs.CL2023

Multi-Path Transformer is Better: A Case Study on Neural Machine Translation

Ye Lin, Shuhan Zhou, Yanyang Li +3

For years the model performance in machine learning obeyed a power-law relationship with the model size. For the consideration of parameter efficiency, recent studies focus on incr…

cs.CL2023

SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph

Yuxing Long, Binyuan Hui, Fulong Ye +5

Existing multimodal conversation agents have shown impressive abilities to locate absolute positions or retrieve attributes in simple scenarios, but they fail to perform well when…

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