Demo Data from SIGIR 2026 / reviewers in the wild / expert
Li Zhe
dblp:301/8933
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 |
Language models and text generation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Language models and text generation
pre-trained language model |
0.8 | 1 | 2024 | CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation · Sci. China Inf. Sci. 2024 |
Natural language and speech › Language models and text generation › natural language understanding
chinese language understanding |
0.2 | 1 | 2024 | CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation · Sci. China Inf. Sci. 2024 |
Methods — techniques the papers use, named apart from their topics
transformer · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation
Yunfan Shao, Zhichao Geng, Yitao Liu, Junqi Dai, Hang Yan 0001, Li Zhe, Hujun Bao, Xipeng Qiu |
Sci. China Inf. Sci. | 7 |