Demo Data from VLDB 2026 / reviewers in the wild / expert
Robert Giaquinto
dblp:332/1062
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 2 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
2 papers |
Language models and text generation · 50% Learning paradigms · 25% Knowledge representation and reasoning · 25% | |
| Software engineering, system software, and programming languages
1 paper |
Program synthesis and code generation · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Data models and query languages · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Language models and text generation
code generation |
0.7 | 1 | 2023 | Multi-lingual Evaluation of Code Generation Models · ICLR 2023 |
Natural language and speech › Language models and text generation › evaluation of language models
multilingual evaluation |
0.7 | 1 | 2023 | Multi-lingual Evaluation of Code Generation Models · ICLR 2023 |
Machine learning › Learning paradigms › multi-task learning › multi-task transfer learning
multi-task pretraining |
0.7 | 1 | 2023 | Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation · ACL (1) 2023 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
structured knowledge |
0.7 | 1 | 2023 | Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation · ACL (1) 2023 |
Program synthesis and code generation
code generation evaluation |
0.7 | 1 | 2023 | Multi-lingual Evaluation of Code Generation Models · ICLR 2023 |
Program synthesis and code generation › code generation with language models
multilingual code generation |
0.7 | 1 | 2023 | Multi-lingual Evaluation of Code Generation Models · ICLR 2023 |
Methods — techniques the papers use, named apart from their topics
pre-training · 1.3large language model · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Multitask Pretraining with Structured Knowledge for Text-to-SQL GenerationabstractRobert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Yang Li, Ming Tan, Parminder Bhatia, Ramesh Nallapati, Xiaofei Ma. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023. Robert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Parminder Bhatia, Ramesh Nallapati, Xiaofei Ma 0001 |
ACL (1) | 1 |
| 2023 | Multi-lingual Evaluation of Code Generation Models
Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang 0002, Xiaopeng Li 0002, Wasi Uddin Ahmad, Shiqi Wang 0002, Qing Sun 0013, Mingyue Shang, Sujan K. Gonugondla, Hantian Ding, Nathan Fulton, Arash Farahani, Siddhartha Jain 0001, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati |
ICLR | 17 |