Demo Data from EDBT 2026 / reviewers in the wild / expert
Malachi Hamada
dblp:420/1353
· DBLP profile ↗
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 |
Language models and text generation · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 100% |
Topics — the 1 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 › large language model › large language model adaptation
personalization |
1.0 | 1 | 2026 | Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users · ACL (1) 2026 |
Methods — techniques the papers use, named apart from their topics
user study · 2.0personalization evaluation · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real UsersabstractNishant Balepur, Malachi Hamada, Varsha Kishore, Sergey Feldman, Amanpreet Singh, Pao Siangliulue, Joseph Chee Chang, Eunsol Choi, Jordan Lee Boyd-Graber, Aakanksha Naik. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026. Nishant Balepur, Malachi Hamada, Varsha Kishore, Sergey Feldman, Amanpreet Singh, Pao Siangliulue, Joseph Chee Chang, Eunsol Choi, Jordan L. Boyd-Graber, Aakanksha Naik |
ACL (1) | 2 |