VLDB 2026 Research / reviewers in the wild / expert
Jordan Massiah
dblp:303/0490
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2023
0009-0009-5526-1834ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 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 · 33% Representation and self-supervised learning · 33% Efficient and distributed learning · 33% | |
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning › model compression
knowledge distillation |
0.6 | 1 | 2022 | Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations · ICLR 2022 |
Natural language and speech › Language models and text generation › natural language understanding
sentence pair modeling |
0.6 | 1 | 2022 | Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations · ICLR 2022 |
Machine learning › Representation and self-supervised learning › text embedding › sentence embedding
unsupervised sentence embeddings |
0.6 | 1 | 2022 | Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations · ICLR 2022 |
Information retrieval › similarity measure
semantic textual similarity |
0.2 | 1 | 2022 | Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations · ICLR 2022 |
Methods — techniques the papers use, named apart from their topics
self-distillation · 1.1mutual distillation · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | On the Reliability of User Feedback for Evaluating the Quality of Conversational AgentsabstractWe analyse the reliability of users' explicit feedback for evaluating the quality of conversational agents. Using data from a commercial conversational system, we analyse how user feedback compares with human annotations; how well it aligns with implicit user satisfaction signals, such as retention; and how much user feedback is needed to reliably evaluate the quality of a conversational system. Jordan Massiah, Emine Yilmaz, Yunlong Jiao, Gabriella Kazai |
CIKM | 1 |
| 2022 | Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
Fangyu Liu 0001, Yunlong Jiao, Jordan Massiah, Emine Yilmaz, Serhii Havrylov |
ICLR | 3 |