# DBLPLink 2.0 -- An Entity Linker for the DBLP Scholarly Knowledge Graph

arXiv: https://arxiv.org/abs/2507.22811 · HTML: https://mlsanity.com/paper/2507.22811/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 10 references that are in the map.
- First posted on arXiv 30 Jul 2025.

## Builds on (most cited first, 3 of 3)

- [Neural Entity Linking: A Survey of Models Based on Deep Learning](https://mlsanity.com/paper/2006.00575/) (2020)
- [DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph](https://mlsanity.com/paper/2303.13351/) (2023)
- [DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph](https://mlsanity.com/paper/2309.07545/) (2023)

## Abstract (arXiv)

In this work we present an entity linker for DBLP's 2025 version of RDF-based Knowledge Graph. Compared to the 2022 version, DBLP now considers publication venues as a new entity type called dblp:Stream. In the earlier version of DBLPLink, we trained KG-embeddings and re-rankers on a dataset to produce entity linkings. In contrast, in this work, we develop a zero-shot entity linker using LLMs using a novel method, where we re-rank candidate entities based on the log-probabilities of the "yes" token output at the penultimate layer of the LLM.