Demo Data from SIGIR 2026 / reviewers in the wild / expert
Cheng-Hao Ho
dblp:248/8013
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1
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 |
Learning paradigms · 70% Language models and text generation · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning paradigms
continual learning |
0.4 | 1 | 2020 | LAMOL: LAnguage MOdeling for Lifelong Language Learning · ICLR 2020 |
Natural language and speech › Language models and text generation
large language model fine-tuning |
0.4 | 1 | 2020 | LAMOL: LAnguage MOdeling for Lifelong Language Learning · ICLR 2020 |
Machine learning › Learning paradigms › lifelong learning
lifelong language learning |
0.4 | 1 | 2020 | LAMOL: LAnguage MOdeling for Lifelong Language Learning · ICLR 2020 |
Machine learning › Learning paradigms › continual learning
catastrophic forgetting |
0.1 | 1 | 2020 | LAMOL: LAnguage MOdeling for Lifelong Language Learning · ICLR 2020 |
Methods — techniques the papers use, named apart from their topics
language modeling · 0.4experience replay · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | LAMOL: LAnguage MOdeling for Lifelong Language Learning
Fan-Keng Sun, Cheng-Hao Ho, Hung-yi Lee |
ICLR | 2 |