Demo Data from SIGIR 2026 / reviewers in the wild / expert
Heather Heckman
dblp:364/7011
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 94% Knowledge graphs · 6% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › query reformulation
query expansion |
0.8 | 1 | 2024 | GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews · AAAI 2024 |
Information retrieval
query formulation |
0.8 | 1 | 2024 | GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews · AAAI 2024 |
Information retrieval
retrieval-augmented generation |
0.8 | 1 | 2024 | GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews · AAAI 2024 |
Information retrieval
retrieval models |
0.8 | 1 | 2024 | GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews · AAAI 2024 |
Information retrieval
search engines |
0.8 | 1 | 2024 | GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews · AAAI 2024 |
Knowledge graphs
knowledge graph construction |
0.2 | 1 | 2024 | GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews · AAAI 2024 |
Methods — techniques the papers use, named apart from their topics
retrieval-augmented generation · 0.8large language model · 0.8knowledge graph · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic ReviewsabstractThis paper addresses the time-intensive nature of systematic reviews (SRs) and proposes a solution leveraging advancements in Generative AI (e.g., ChatGPT) and external knowledge augmentation (e.g., Retrieval-Augmented Generation). The proposed system, GEAR-Up, automates query development and translation in SRs, enhancing efficiency by enriching user queries with context from language models and knowledge graphs. Collaborating with librarians, qualitative evaluations demonstrate improved reproducibility and search strategy quality. Access the demo at https://youtu.be/zMdP56GJ9mU. Kaushik Roy 0009, Vedant Khandelwal, Valerie Vera, Harshul Surana, Heather Heckman, Amit P. Sheth |
AAAI | 5 |