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Pei Pei Li

dblp:439/2474 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Efficient and distributed learning · 44% Representation and self-supervised learning · 44% Language models and text generation · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Efficient and distributed learning
model compression
1.012026
SCVQ: Sparse-Compensated Vector Quantization for Large Language Models · ACL (1) 2026
Machine learning › Representation and self-supervised learning
vector quantization
1.012026
SCVQ: Sparse-Compensated Vector Quantization for Large Language Models · ACL (1) 2026
Natural language and speech › Language models and text generation
large language model inference
0.312026
SCVQ: Sparse-Compensated Vector Quantization for Large Language Models · ACL (1) 2026

Methods — techniques the papers use, named apart from their topics

vector quantization · 1.0sparsity compensation · 1.0
YearPublicationVenuePosition
2026 SCVQ: Sparse-Compensated Vector Quantization for Large Language Models
abstract
Zixuan Zhou, Yujun Diao, Zicheng Kong, Dehua Ma, Zhenbo Xu, Pei Pei Li, Zhaofeng He. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Yujun Diao, Zicheng Kong, Dehua Ma, Zhenbo Xu, Pei Pei Li, Zhaofeng He 0001
ACL (1)6